Dor Abuhasira CEO and Co-Founder, Author at Percepto https://percepto.co/author/dor/ Autonomous Drone Solutions Mon, 27 Mar 2023 14:34:53 +0000 en-US hourly 1 https://wordpress.org/?v=6.3.4 https://percepto.co/wp-content/uploads/2019/03/cropped-Favicon-100x100.png Dor Abuhasira CEO and Co-Founder, Author at Percepto https://percepto.co/author/dor/ 32 32 Approved. What is the nationwide Beyond Visual Line of Sight (BVLOS) approval, and what’s next for remote drone operations https://percepto.co/approved-what-is-the-nationwide-beyond-visual-line-of-sight-bvlos-approval-and-whats-next-for-remote-drone-operations/ https://percepto.co/approved-what-is-the-nationwide-beyond-visual-line-of-sight-bvlos-approval-and-whats-next-for-remote-drone-operations/#respond Mon, 21 Nov 2022 01:00:43 +0000 https://percepto.co/?p=11974 The post Approved. What is the nationwide Beyond Visual Line of Sight (BVLOS) approval, and what’s next for remote drone operations appeared first on Percepto.

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US drone regulation has made slow but steady progress in approving safe, advanced drone operations. For those new to this niche topic, approving advanced commercial drone operations could look like fully autonomous power grid inspections – critical to restoring power infrastructure after a storm. Or autonomous delivery of food and medical supplies (or online shopping orders).  Over the past decade, large-scale, streamlined Beyond Visual Line of Sight (BVLOS) approvals have been the “holy grail” of regulatory approvals – but they’ve always felt just out of reach.  That is, until the emergence of the nationwide BVLOS approval.

BVLOS approvals transformed: from bureaucratic nightmare to zero friction 

Previously, organizations would have to apply for case-by-case, site-by-site approval to operate the drones from a remote location. Applications were evaluated by the FAA individually, with the average wait time coming in at around 3 months to a year. Moreover, advanced approvals were only accessible for companies with the right resources and know-how, and even then were often granted for test purposes. Because regulatory processes were so cumbersome, many organizations would resort to using piloted drone services. These services are often costly, with limited availability and no immediate response or situational awareness.

In stark contrast, the nationwide BVLOS approval is the most advanced, large-scale operational approval ever given out by the FAA. It allows organizations to operate Percepto drones remotely from day one. The groundbreaking approval enables those organizations to leverage automated drone operations easily – without jumping through bureaucratic hoops. 

The last regulatory hurdle

In the last 10 years, drone technology advancements have enabled organizations to leverage drones for frequent infrastructure inspections, deliveries, emergency response and more. But the FAA has struggled to safely integrate drones into the airspace alongside manned aircrafts. As a result, BVLOS approvals provided by the FAA as of today include personnel, usually a Visual Observer (VO), on site to deconflict the airspace, namely to guarantee the drone is not risking any other aircraft.  While many commercial applications are enabled with a VO on site, such as monitoring industrial facilities, for other use cases however, such as power line or railway inspections and deliveries, the VO introduces significant operational challenges, namely additional costs, limited frequency and availability. 

In response, in December, 2021 the FAA established the BVLOS Aviation Rulemaking Committee (ARC) – a committee of drone regulation stakeholders and experts tasked with recommending a streamlined path for BVLOS operations. The BVLOS ARC announcement held the promise of a rule to govern complex operations, more commonly known as the “BVLOS rule”, which would allow organizations meeting the rule’s criteria to operate BVLOS without applying for individual approvals. The BVLOS ARC made their recommendations for a new complex operations rule to the FAA, who are still working to establish the rule to streamline BVLOS approvals.

Only a handful of BVLOS waivers have been granted without personnel on site, mainly in the case of an emergency, or for testing purposes. The next step for the FAA is to provide a regulatory path forward for BVLOS operations without personnel on site – or what the FAA calls highly automated BVLOS. 

The future of commercial drones and highly automated BVLOS

Highly automated BVLOS is the future of commercial drone operations. It will enable organizations (again, think power restoration, refinery maintenance, medical delivery, consumer delivery, etc.) to operate drones remotely without any personnel on site, not even a VO. For any use case, this increases operational speed and frequency, enables business continuity, and will increase the value and overall adoption of commercial drone technology. 

With mature, reliable drone solutions, BVLOS ops have proven safe to operate over people and critical infrastructure. The last remaining safety concern is how to operate drones in coordination with other aircrafts, gliders and drones flying in the same airspace. 

Today, we see highly automated BVLOS being approved in one of two ways: 

  • Technological solution – a detect and avoid solution, relying on a combination of technologies such as radars, cameras and Unmanned Aircraft System Traffic Management (UTM). This would apply to all drone operations under an altitude of 400 feet. 
  • Operational solution – drone flight within approximately 100 feet from any infrastructure, close enough so that no other aircraft would be operating there. 

In the future, highly automated BVLOS will be accessible to all – from industry stakeholders to drone operators – under the BVLOS rule. The recommendation by the BVLOS ARC proposes that the rule will organize the national airspace such that under ~400 feet, drones, not manned aircrafts, will have the right of way. All aircrafts, manned and drones alike, would communicate their exact location via one centralized, nationwide UTM. In this proposed rule, the need for costly technological solutions or complex operational solutions would be eliminated. More importantly, such a BVLOS rule would deliver a safe, accessible and complete solution for highly automated BVLOS drone operations, unlocking the full potential of drones in our day-to-day lives.

In 2023, regulatory hurdles take their leave 

For the past 10 years, the FAA has been cautiously inching forward towards streamlined highly automated drone operations. In 2023 we’ll see the fruits of their labor, with more nationwide BVLOS approvals and more highly automated BVLOS approvals. This process is the foundation for the next nationwide highly automated BVLOS approval – the holy grail we are waiting for – until a permanent BVLOS law will come into effect.

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In 2022, Percepto is bringing visual inspection automation to all https://percepto.co/in-2022-percepto-is-bringing-visual-inspection-automation-to-all/ https://percepto.co/in-2022-percepto-is-bringing-visual-inspection-automation-to-all/#respond Thu, 18 Nov 2021 10:04:44 +0000 https://percepto.co/?p=9467 The post In 2022, Percepto is bringing visual inspection automation to all appeared first on Percepto.

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When my co-founders and I founded Percepto back in 2014, we recognized that inspection of large industrial sites and infrastructure, such as refineries, power grids, mines, etc., was ripe for automation. By automating a process that has historically been done manually, we could prevent outages and environmental disasters, while significantly impacting heavy industrial sites’ bottom line.

Consider, a downed power grid can lead to hundreds of thousands and even millions of dollars in damages. Or the damage a gas leak can do if it goes undetected due to poor inspection. And the risk of sending an employee to inspect towers at a nuclear power plant.

We saw a clear, and massive, need and value for automating visual inspections. And we quickly understood that this is a complex, multifaceted challenge requiring an equally complex and intricate solution.

Industrial visual inspections disrupted

We’ve been working on that solution since our founding. We have spent years developing innovative technology to enhance inspections.

It was clear from the beginning that drone technology needs to play a big part in this story of automating and optimizing inspections. And in order to fully automate these processes to achieve the inspection frequency and quality needed to prevent downtime caused by power outages or oil leaks for example, we needed autonomous drones to be always available on site, these are also known as a drone-in-a-box.

So when we began, our focus as a company was on developing the most robust and intelligent drone-in-a-box on the market. And we succeeded, with our flagship drone-in-a-box Percepto Air Max (previously known as the Sparrow).

Top companies across multiple industries such as thermal energy, mining, heavy industrial, etc., finally had the tool they were so eager to have – to boost employee safety, minimize environmental footprint, and slash their downtime. And those companies, including – Koch Industries, Florida Power & Light, Verizon, Delek US, and Enel – completely disrupted their regular inspection methods, which for large enterprises is not easy.

These clients liked the results and the value they were seeing – but they still needed more. They wanted to connect all of their visual data to the same Percepto software managing the Air Max drone-in-a-box visual data. And they wanted even more AI-powered insights.

So we listened to our clients, and in November 2020 we unveiled Percepto AIM – Autonomous Inspection and Monitoring enterprise software. As the first-ever enterprise solution enabling truly autonomous visual data management, AIM was a game changer. AIM manages a fleet of robots residing on site collecting visual data, and automatically generates AI-powered insights relevant for various stakeholders (i.e. maintenance, compliance, and security officers). It remains the only solution on the market that solves the most challenging inspection-related workflows – data collection, data management and data analysis, all in one platform. We couldn’t be more proud and excited seeing it selected by TIME as one of 2021’s most groundbreaking solutions, who recognized AIM’s ability to minimize risk, pollution and even prevent large-scale environmental disasters.

In heavy industry, automation and drone use is now seen as the standard in inspection practices. Our 2021 solution, combining powerful autonomous robots with AI-powered visual data management is the nuanced and advanced solution industrial sites today can rely on to reduce risk, costs and environmental impact.

Aiming higher, and lighter

Since we laid the groundwork for visual inspection automation with Percepto AIM and Percepto Air Max, we’ve been striving to tackle a few more of our client and market challenges – namely the fact that “one size doesn’t fit all”.

Different industries and companies have different inspection needs. They may need more accuracy, like the mining industry, which relies on highly accurate volumetric measurements to monitor productivity and plan shipments. Or special sensors, like the oil & gas industry, whose main concern is preventing leaks and detecting specific gasses as soon as they appear.

Some companies have different inspection needs internally for their different facilities. Like a power company that needs a heavy-duty, ruggedized drone solution at their substations and nuclear energy facilities, but a lighter and more mobile drone solution to monitor their entire power grid.

And sometimes facilities don’t need a drone. They may need a ground robot, like Spot®, indoors. Or they may have fixed cameras already looking at the right assets, but are missing the visual data management, analysis and reporting capabilities.

The list goes on. And we compiled that list, packaged it up and delivered it in our latest solution upgrade. 

We developed AIM 2022 and a new drone-in-a-box. We created a mobile app, and offer fully automated integrations with DJI drones and fixed cameras. And together, these solutions offer companies the ability to automate their visual inspections in whatever way works best for them.

What’s in AIM 2022

Building on the success of AIM 2021, AIM 2022 delivers yet another game changer for industrial sites – Insight Manager. Insight Manager packages the most advanced industry-specific analytics in a way that is accessible to any user. Our clients grappled with challenges of siloed data, and the need to rely on 3rd party analytics or experts to get the insights they need.

And Insight Manager eliminates those challenges. At the click of a button, any user selects the insight they need, and AIM 2022 does the rest – dispatching the correct robot for inspection, and utilizing AIM 2022’s next gen change detection framework to automatically detect anomalies, or generate volumetric measurements.

Faults are detected as soon as they happen, preventing them from turning into larger failures causing downtime, outages, or environmental catastrophe. Positive changes are also detected, and our clients leverage AIM 2022 to monitor construction projects, with each component constructed detected, counted and tracked on a map.

AIM 2022 also packs in significant user experience upgrades, addressing our client needs for greater mobility and collaboration. This includes our new mobile application, user interface upgrades, and faster and easier insight sharing. For our clients, these upgrades effectively solve organizational challenges, by removing information bottlenecks and empowering any user to automate visual inspections.

What’s in the new box

The “smallest” addition to our solution this year is Percepto Air Mobile. This smaller, lighter and as the name suggests – mobile – drone-in-a-box directly addresses client needs for a solution that can be easily deployed at multiple locations, such as a pipeline or power grid. The new solution is also weatherproof and highly ruggedized, like it’s big brother the Air Max.

In contrast to the lighter Air Mobile, the new Air Max upgrades make it the heavy-weight champion of visual inspections. With the most accurate, high-resolution sensors including new cameras and optical gas imaging (OGI), the Air Max is the only drone-in-a-box on the market capable of meeting our oil & gas client needs for effectively detecting and preventing gas leaks and unwanted emissions.

With our 2022 solution, we also introduced integrations with DJI and fixed cameras. Adding these sensors to our portfolio enables any industrial site to integrate their existing visual inspection tools into an end-to-end visual data management platform. Giving them the highest quality analytics on the market for industrial inspection, this integration delivers a critical solution for large enterprises for which “one size does not fit all.”

One solution for every industrial site

With AIM 2022, the value proposition for automating visual inspections is greater than ever. The most advanced AI in our most user friendly platform ever guarantees reduced downtime, costs, risk and environmental footprint.

And our solution is now so versatile, that any company in any industry can begin automating visual inspections at their facilities where they need it most. For some, that may look like a software only solution to upload data from existing on-site sensors into Percepto AIM. For others, it may be using DJI drones with automatic visual data collection and management. And for the most complex industrial environments, there’s the flagship Percepto Air Max.

Autonomous visual inspections are becoming the standard, best practice at heavy industrial sites. And with a flexible, adaptable solution, we’re aiming to automate inspections at every green energy facility, power grid, pipeline, and more.

With AIM 2022, we believe we have paved the way for every industry and every industrial site to use drones and robots at their worksite for visual inspection. Since we have put in countless hours to develop and fine-tune our solution, we were determined to make it accessible to all. Because our vision for all facilities and infrastructure to automate visual inspections means a brighter, safer future for everyone.

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Why 2021 is a landmark year for autonomous drones https://percepto.co/why-2021-is-a-landmark-year-for-autonomous-drones/ https://percepto.co/why-2021-is-a-landmark-year-for-autonomous-drones/#respond Thu, 09 Sep 2021 11:44:35 +0000 https://sandbox-percepto.co/?p=7855 The post Why 2021 is a landmark year for autonomous drones appeared first on Percepto.

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Key stakeholders have been demanding autonomous drone flight for years – and
regulators are finally defining clear pathways for the disruptive technology.

Industry leaders have been promising the mass integration of autonomous drones into the national airspace, and hence our daily lives for years. In 2013, Amazon’s Jeff Bezos first unveiled his vision for autonomous drone delivery. Since then, VCs have poured funds into young companies looking to use drones technology to disrupt industries from deliveries, journalism and industrial inspection all the way to actual flying cars. 

Yet, for the most part the huge market disruption envisioned for drones seems to be moving much slower than expected. What’s the holdup? 

Regulatory hurdles. They’re slowing the further advances of drone technology that promises to change industry. 

Since 2016 when Part 107 was released, which enabled businesses to use piloted drones for commercial work, the FAA has been pressured by both industry and government (possibly the only point agreed on by both President Barack Obama and Donald Trump) to enable the industry to move forward. In order to do so, there needs to be clear regulations enabling two main drone operations:

  1. Flight Beyond the operator Visual Line Of Site (also known as BVLOS) – BVLOS is probably the biggest buzzword in drone regulation, and it would remove the current need for a drone pilot to monitor each drone that flies. The FAA has yet to fully enable commercial BVLOS flight.
  2. Flight over people – which would enable commercial flights over populated areas. This year, the FAA implemented its Operations over People rule, enabling certified drone models to fly over people.  

When can we expect the FAA to enable BVLOS flights? 

For anyone following the drone industry, discussing BVLOS operation feels like a never ending discussion, as autonomous drone technology has been around for years, yet regulators haven’t found a way to safely integrate it. But in June 2021, the FAA announced that a new BVLOS Aviation Rulemaking Committee (ARC) has commenced. The BVLOS ARC represents a large-scale collaboration between the drone industry and regulators, and is made up of 86 organizations including 6 selected drone manufacturers. The ARC will make their first round of recommendations to the FAA for the brand new rule regulating BVLOS flight within 6 months, and we expect the new rule to take effect in the next 2-3 years. 

The new BVLOS regulation will change everything. Fully autonomous drone flights. No pilots. No human involvement. 

That means we will finally see drones implemented at scale as a network of robots providing various vital services for us. In the next few years, you should expect to see autonomous drones flying around delivering packages, inspecting power lines, solar farms, cell towers and bridges. The many applications enabled are demonstrated by the range of drone companies who work closest with the FAA. 

For Amazon, BVLOS regulation means fully autonomous consumer deliveries. For other drone delivery companies like Zipline, BVLOS regulation means fully autonomous delivery of vital medical supplies. 

And for industrial drones like Percepto’s, it means fully autonomous monitoring of the country’s most risky, complex facilities. On a larger scale, it offers companies responsible for our critical infrastructure the promise of employing a fleet of drones to manage and maintain all of their infrastructure from anywhere in the country. 

This new regulation will revolutionize industries and change lives when it comes into effect in the next few years. And in the meantime, the industry will continue to move forward within the existing regulatory framework. 

How should the industry proceed until the BVLOS rule is in place? 

Since the BVLOS rule will take time to form, the rules the FAA has put in place up until now will still allow field-proven companies to apply for operational approvals to fly BVLOS and over people.

This year the FAA released two new rules – Remote ID rule and Operations over People rule. Each rule addresses a regulatory barrier to drone operations such as drone delivery or emergency response. 

Remote ID is critical to allow networks of drones to operate overhead without causing harm. The Remote ID rule requires drone manufacturers to identify drones in flight and the location of their control stations by 2022. This reduces the risk of drones interfering with other aircraft. 

The Operations over People rule allows certified drone models to fly over people. Previously, each operation needed to go through a time-consuming approval process even if the same drone model had been approved for a similar operation.

However to get certified, a drone model must first prove it is safe and airworthy. It does so by undergoing flight testing (coined ‘durability and reliability testing’ by the FAA). This is the Type Certification (TC) process, which the FAA first announced in 2019. Fast forward to 2021 – now the first 10 companies are in the final stages of the TC process. 

The autonomous drone revolution will look a lot different in the years to come, thanks to successful industry and regulator collaboration 

2021 marks a regulatory breakthrough, pushing forward autonomous drone operations. This push of course comes in line with rapidly advancing technology, which has put safety at the forefront to meet regulatory requirements. Still, the large-scale integration of autonomous drones won’t happen all at once. Rather, it will happen gradually over the next few years with more and more operational approvals given out by the FAA. 

The progress we’ve seen in 2021 proves that when society sees value in an industry, regulators can solve even the most complex problems – like integrating autonomous drones without pilots into the national airspace. This process has been long in the making, and as with all hard work – the rewards will be equally significant.

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In 2020 we AIMed higher. And we’re just getting started. https://percepto.co/in-2020-we-aimed-higher-and-were-just-getting-started/ Wed, 25 Nov 2020 12:46:05 +0000 https://sandbox-percepto.co/?p=6667 It might be a bit early for a year-end summary, but given the exciting news yesterday, it feels like a good opportunity to reflect on the amazing journey we’ve had...

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It might be a bit early for a year-end summary, but given the exciting news yesterday, it feels like a good opportunity to reflect on the amazing journey we’ve had thus far, and where we’re going next.

2020 has truly been a year of triumph for all of us at Percepto and for me personally as CEO. With the launch of our revolutionary AIM platform and the continuing global uptake of our autonomous industrial Drone-in-a-Box (DIB) systems – we reached some truly remarkable milestones in 2020. And the fact that we received a massive strategic investment from one of the world’s largest and most prestigious industrial concerns, Koch Disruptive Industries, who share our commitment to building Percepto into a new category leader, has actually made the disastrous 2020 one of the best years Percepto ever had.

Taking the “Apple” approach

This year was the year that our vision of end-to-end autonomy in industrial robotics really came to fruition. 

From Percepto’s earliest days, we chose to regard robotic autonomy differently – starting, of course, with our own autonomous drones. Autonomous drones, we realized, don’t just need to fly on their own. Industrial sites really need them to do everything on their own – fly, dock, charge, self-maintain, upload data, analyze data, report in real time…and so much more. 

Technologically, we essentially took the “Apple” approach. Unlike most companies, which offered solutions to one problem at a time, we bundled data collection in industrial sites with data storage, manipulation, analysis and (most importantly) the delivery of data-driven insights. We made it so easy to go autonomous, that companies couldn’t resist making the transition to end-to-end inspection and monitoring solutions powered by drones. 

Commercially, we translated this into a completely different product approach – a new and different direction in drone-powered commercial applications. While most companies were offering software for commercial applications of piloted drones (mostly for DJI drones), we were laser-focused on applications of our fully autonomous Drone-in-a-Box (DIB) solution

So, we created this space…and we are now firmly established as the market leaders in it. Over the past six years, Percepto has grown to be by far the most deployed DIB on the market, and the market standard against which competing platforms are measured.

AIMing higher

I have no doubt that we’re going to retain our leadership in the DIB space. Yet, taking a holistic view of industrial sites – we realized that there’s an even greater autonomous peak to be conquered.

Working with industry leaders such as Florida Power & Light, Verizon, ICL Dead Sea and dozens of others over the past years taught us how truly disruptive end-to-end automation is for inspection and monitoring of industrial assets. Yet even as we dominated the airspace above industrial sites, and brought previously unheard of drone-driven data collection and AI-powered insights to industrial stakeholders – we realized that there was something missing in the autonomous industrial robotics picture.

This something was AIM. For Percepto, it’s an evolution. But for the market, it’s a revolution

AIM is disruptive – completely changing the industrial inspection and monitoring market. We understood that there are some aspects of remote inspection and monitoring that can’t be fulfilled by air alone. Our customers needed additional robotics, while still maintaining a fully autonomous cycle. They needed one system that holds all visual data from various sources. And they needed the ability to easily control both the data collection and the data visualization and analysis phases remotely.

Digitizing decades-old best practices

Heavy industrial companies have always relied on inspection and monitoring to guarantee business continuity, minimize risk and eliminate unnecessary downtime. But traditional methods relied mainly on manual and resource-intensive best practices. Billions of dollars were, and in most cases still are, spent on inspection regimes that are, to say the least, low-frequency. How low? In some cases, if methods on-site have been digitized, critical infrastructure can be inspected weekly – but usually, it’s monthly and even yearly. And sometimes, literally never. And it’s not just quantity – it’s quality. Traditional inspection and monitoring lack consistency, objectivity, and the ability to identify data-driven trends over time.

By way of example, despite the company’s alignment with industry best practices, faulty equipment owned by California’s largest utility, PG&E, sparked the deadly 2018 fires in California that ultimately led to the company’s bankruptcy. Similar issues can be found in many other heavy industrial facilities and infrastructures. Companies are spending billions on sub-optimal inspection regimes, which ultimately lead to higher losses due to unnecessary downtime and lower efficiency. A mine, a chemical plant, a refinery, or any other major facility may produce over a billion dollars a year, yet suffer losses of tens of millions on efficiency and downtime issues, not even taking into account major malfunction events.

Given these numbers, we knew we could aim higher, so to speak. With AIM, not only can we inspect entire sites from the air, ground, and sea – we can do so daily, or even hourly. And it is this high-frequency inspection that makes all the difference. Because industrial site stakeholders need to be smarter and rely on information from more than just one data collection mission. Correlating data from multiple missions leads to decision-making based on up-to-date visual data trends and highly robust digital twins. True to our principles, AIM enables our customers to focus less on the collection of data via any of our autonomous robotic solutions, and more on the insights derived from the data collection. What’s more, AIM empowers more people – democratizing access to data-driven insights.

What’s next for Percepto?

We pioneered and ultimately dominate the Drone-in-a-Box space – which has created a demonstrable path to ROI and very high traction for Percepto in heavy industries. Together with tier-1 partners like Boston Dynamics, I expect Percepto to see rapid and widespread growth in autonomous industrial inspection and monitoring.

Moving into the third decade of the 21st century, Percepto will continue to focus on evolving customer needs, leading this new category we created. It’s a lot of responsibility, but we’re used to aiming high and meeting the ambitious goals we set for ourselves.

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After COVID-19, Autonomous Technology Will Never Be the Same https://percepto.co/after-covid-19-autonomous-technology-will-never-be-the-same/ Thu, 06 Aug 2020 13:00:37 +0000 https://sandbox.percepto.co/?p=3204 The pandemic is not only changing the way we use technology, it’s fundamentally redefining our relationship with it. The way we feel about Zoom and Slack today will affect the...

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The pandemic is not only changing the way we use technology, it’s fundamentally redefining our relationship with it. The way we feel about Zoom and Slack today will affect the way we feel about self-driving cars, AI-powered companions, and yes – autonomous drones – tomorrow.

Coronavirus lockdowns forced us to work, interact, shop, and play primarily via technology. It made us think long and hard about tools that can enable maximum human productivity with minimum risk of infection. And the answer, in many cases, was autonomous technology. Our historical fear of letting machines do the thinking – so to speak – was quickly overcome by simple practicality.

Where Did Fear of Autonomous Tech Come From?

Dystopian themes in art and literature have been popular for decades – with evil AI and autonomous technology playing leading roles. In film (think The Terminator series), books (the Dune series, for example), and television (think Westworld) – we are constantly witnessing how autonomous technology can go very, very wrong. This – together with a deeply instilled human fear of paradigms that take us out of our comfort zone – led us to collectively perceive more risk than benefit from autonomous technology. 

The images of robots stealing human jobs and AI-powered robots taking control of the earth contributed to widespread opposition to – for example – self-driving cars. This fear also played a role in the slow regulatory embrace of autonomous vehicles, and even to actual violence against vehicles themselves. Certainly, legitimate and valid technological concerns were in play, too – yet the influence of fear is undeniable.

Up Close, We See There’s Less to Fear

During the Coronavirus crisis, we received an up-close and personal glimpse of the good side of autonomous technology. Just when we needed it most, we had to trust autonomous technology to transport medical supplies and patients, track instances of infection, conduct risk-free disinfection, and secure critical infrastructure while human staff were unavailable. It even helped keep us company in our isolation and social distancing.

All of a sudden, an autonomous Uber became less scary than the possibility of infection from the human driver of a traditional Uber. At Percepto, we saw the same change in attitudes from our industrial clients – many of whom either adopted or expanded their use of our autonomous drones as their facilities were shut down or their employees were unavailable owing to lockdowns.

Where Do We Go from Here?

The COVID-19 pandemic was a watershed for so many aspects of society. One of them will undoubtedly be autonomous technology and our attitudes to it.

In the near future, autonomous technology will continue to play a greater role behind the scenes of our day-to-day lives. Industrial robots will increasingly operate assembly lines. Remotely-operated autonomous drones will monitor and secure more and more power plants, gas and oil facilities, and other critical infrastructure.

Lockdowns and quarantines may pass – but the new culture of work-at-home is here to stay. This means more autonomous drone deliveries in general, and more ground-based deliveries for essentials like groceries – where companies are already running real-world trials. It also means more backend logistics automation to enable companies like Amazon to keep up with growing demand. And it even means more automation of the less sexy but truly necessary mechanisms of society – like autonomous waste management technology that would eliminate the need for human garbage collectors to be exposed to potentially infectious waste.

The Bottom Line

As people fear autonomous technology less, they will increasingly understand that it offers far more than convenience and safety. Data created by autonomous technology drives smarter decision-making and impacts business strategy, financial decisions, and even public health policy. Autonomous technology was moving mainstream before the Coronavirus hit. In our search for societal tools that enable maximum human productivity with minimum risk of infection – autonomous technology may be one of humanity’s most powerful weapons.

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Who Uses Aerial Data at Industrial Sites? https://percepto.co/who-uses-aerial-data-at-industrial-sites/ Mon, 05 Aug 2019 07:59:40 +0000 https://sandbox.percepto.co/?p=1252 The answer to this question is evolving and at a rapid pace. When the first viable commercial drones hit the market, industries initially saw only the most obvious and familiar...

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The answer to this question is evolving and at a rapid pace. When the first viable commercial drones hit the market, industries initially saw only the most obvious and familiar applications, namely survey and specialty data collection that had been traditionally performed by piloted drones. As technology has advanced and costs have declined in the last decade, new use cases have emerged and been commonly adopted, expanding the number of industry roles that use aerial data solutions. Autonomous drone solutions like the Percepto solution are rapidly creating a new paradigm. By providing continuous data collection, machine learning, live streams, and archival data available in the cloud at any time from any connected device, more and more team members at industrial organizations worldwide are not only using aerial data, but relying on it on a daily basis. 

 

Security Teams

Autonomous operations have made aerial data an indispensable tool for security teams, providing an extra set of eyes in the sky at all times. Scheduled patrols of site perimeters are routinely monitored, and on-board machine-vision automatically alerts personnel of potential threats and can track the human or vehicle to maintain awareness of the intruder’s location.

Safety Teams

Early detection of hazards used to be a labor-intensive process. Safety teams now leverage aerial data and anomaly detection (thanks to onboard machine learning) to continuously monitor site conditions for potential risks. In the event of an emergency, autonomous drones act as the first responder, providing aerial situational awareness before humans are put in harm’s way.

Operations Teams

The simple ability to see any area of a site on-demand without physically have to walk or drive there is becoming standard in day-to-day processes. Teams schedule regular aerial data collection of critical assets to perform inspections at a higher frequency than was viable with the traditional labor-intensive, manual processes. Aerial data is also used for land and coastline surveys, either pre-planned or on-demand.

Compliance Teams

Compliance teams have transitioned from passive use to more active, regular use. Teams now rely on aerial data solutions to continuously monitor sites for regulatory violations and safety hazards. Additionally, archival data has become invaluable in avoiding what in the past may have been lengthy and expensive investigations. With a complete historical record of site conditions, teams are now able to quickly validate claims and prove compliance to regulators.

Executives

In the past, executives used aerial data as the occasional substitute for a site visit. Fully autonomous solutions now make a virtual check-in of the site available at any time. For those that made an early investment in the technology and now have several years worth of historical data, advanced modeling and forecasting of production is now possible.


In Conclusion

When machine learning is applied to aerial data captured consistently at a high frequency, and data is archived for easy access in the cloud and available via live stream at any time, virtually every decision-making role on industrial sites can benefit.  Percepto’s customers are among the first in the world to have access to these new insights, and with every production phase, maintenance cycle, operational need or compliance auditing, we are realizing alongside them every day the full value of aerial data on industrial sites.

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Are Autonomous Drone Operations more Expensive? https://percepto.co/are-autonomous-drone-operations-more-expensive/ Tue, 25 Jun 2019 18:40:25 +0000 https://sandbox.percepto.co/?p=1167 One might assume that because truly autonomous drones operations require more complex hardware and more sophisticated software, that the cost of operations would naturally increase.  In fact, autonomous drone operations...

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One might assume that because truly autonomous drones operations require more complex hardware and more sophisticated software, that the cost of operations would naturally increase.  In fact, autonomous drone operations are dramatically less expensive than manual operations assuming your organization is interested in accessing the full ROI aerial data has to offer.  If your organization is only leveraging drones for the occasional survey or inspection, hiring a service provider or building an internal department may prove cost effective.

However, when considering the additional use cases autonomous drones generate and the complete workflow of operations over time, autonomous drones provide clear economic advantages in three key processes: Data collection, data processing, and data analysis.

Data Collection

Whether walking the site to notate observations on a clipboard or climbing a flare stack to take a photo, site personnel traditionally spend much more time performing the legwork of collecting data than they do taking action on it’s insight. Drones can help make data collection safer and more efficient, however the human pilot represents the greatest logistical and cost burden, therefore also representing the greatest barrier to collection frequency and therefore limiting viable use cases.

Site security and surveillance

Site security and surveillance illustrate this point well. Drones were scarcely mentioned in site security applications until Percepto’s fully autonomous solution became available in recent years.  To truly make an impact, drones need to be flying site perimeters continuously, day and night, under any weather conditions. Given that a typical drone pilot is at least as expensive as a typical security guard, any cost efficiency gain drones can offer are lost when compared to simply hiring more guards. By comparison, autonomous drone solutions can patrol 24/7 without human involvement, extending the capacity of the existing security team by providing constant visibility of even remote segments of the site perimeter that are time consuming simply to visit.

Many of our customers around the globe find that our autonomous drone solution more than pays for itself with the security applications alone, before even accounting for inspection, compliance and others.  Additionally, human piloted operations incur a soft administrative cost in tasking and scheduling missions. Autonomous solutions allow missions to be routinely scheduled and deployed automatically without the need for phone calls, emails, or other such administration.

Data Processing

For use cases that require raw data to be processed into data products such as orthomosaic maps, 3D models, etc, the human in the loop represents an additional cost burden.  The process of transferring data for archive and importing, processing, exporting, and delivering to stakeholders are critical steps that add up over time and each can be a point of failure. If data is not processed and delivered immediately, insights may not reach decision makers in time to be useful.

autonomous drone sends data to the cloud

Upon returning to its base station, our autonomous drone instantly sends data to the cloud, processes it into data products, and delivers them to personnel without fail. Just as data collection frequency increases with autonomous operations, the volume of data products generated also increases, scaling the advantages of reliability and eliminating labor cost from the data processing workflow.

Data Analysis

Data analysis is the area where the true value of aerial data can be realized – where insight becomes action. In the case of manual operations, this requires a human interaction (and associated cost) to deliver to stakeholders and another for the stakeholder to interpret and often another to assign the corrective action to someone in the field.

Data analysis is the area where the true value of aerial data is found

In the case of fully autonomous operations, analysis can be performed by an algorithm that detects anomalies day over day and automatically alerts defined field workers of the action to take and managers for awareness.

For example, machine learning can detect a potential gas leak in a pipe and alerts the appropriate technician of the precise location of the potential hazard so they can immediately take action.  Additionally, because autonomous systems enable higher volumes of data to be collected consistently and at higher frequency, modeling and forecasting of maintenance & production can be improved and compliance departments are provided with a complete historical record of site conditions that can be reviewed and shared at any time. Autonomous drones also open up numerous real time monitoring use cases such as live streaming video during a safety emergency. Such capabilities incur no additional cost and are simply impractical with infeasible with human piloted operations.

In Conclusion

Percepto’s autonomous drone solution reduces operational cost from hundreds or even thousands of dollars per day in services to the nominal cost of electricity. This reduced expense makes more frequent data collection cost effective, creating new use cases and ROI that could never be possible with manual operations. In a competitive industrial landscape where margins are often thin and data is increasingly king, most sites can’t afford not to invest in an autonomous drone solution.

Drone In a Box

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How Drone-in-a-Box Tech Flies us into Industry 4.0 https://percepto.co/how-drone-in-box-tech-flies-us-into-industry-4-0/ https://percepto.co/how-drone-in-box-tech-flies-us-into-industry-4-0/#respond Thu, 14 Feb 2019 15:05:18 +0000 https://sandbox.percepto.co/?p=809 What drives industries to push forward and embrace cutting-edge modernization? From economic trends and increased competition to tougher environmental and compliance legislation and a higher corporate responsibility, all these factors...

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What drives industries to push forward and embrace cutting-edge modernization? From economic trends and increased competition to tougher environmental and compliance legislation and a higher corporate responsibility, all these factors are demanding change. But there’s one element that advances a revolution the strongest: innovative breakthroughs.

What is Industry 4.0?

We’re living in exciting times as the fourth industrial revolution is unfolding right before our very own eyes. Industrial revolutions have come in all shapes and sizes throughout history, from the steam engine powering the first major change in energy, followed by the electricity, gas and oil.

We then moved toward the third industrial revolution with the rise of electronics, internet, nuclear energy and biotechnology. Whereas the first industrial revolution was all about mechanization, Industry 4.0 features a push toward automation and cyber-physical systems that will replace many forms of human work altogether.

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Industry 4.0 – where smart and autonomous systems are charged by data and artificial intelligence (AI) learning. It’s the rise of digital manufacturing, which is making a significant transition in the way we produce and consume products.

Autonomous Drones vs Piloted Drones

Leading the Industry 4.0 pack in digital manufacturing innovation are autonomous drones. Often called drones-in-a-box, autonomous drones fly directly ‘from the box to the skies’, without additional human piloting required. Autonomous drones use AI technology to operate entirely without pilot interaction, once their flight path is programmed in advance.

Piloted drones, on the other hand, require physical piloting to fly the drone. There are varying levels of piloted drones, and some have autonomous features such as the ‘follow me’ command, but ultimately, they require a human presence.

Advantages of Autonomous Flying

Aside from the obvious advantage of time management, autonomous drones are pushing industries to adapt new innovation in a variety of ways. Since they do not require pilot interaction, they are available 24/7, any day of the week. Autonomous drones are extremely easy to use, and occupy a small amount of space.  

Autonomous drones are paving the way for aerial insights as an invaluable tool with tangible ROI. Autonomous drones, such as the Sparrow by Percepto, can perform multiple tasks during their flight route, thus reducing costs and increasing productivity. They are safe and developed by high performance systems that support any outdoor deployment and continuous operation.

They can easily be deployed for security, inspection and safety checks, which increases security and safety levels on site. In addition, frequent and consistent data collecting enables preventative site maintenance, allowing for a higher quality of maintenance planning, assets monitoring and faults investigation.

Transforming Industrial Operations

The introduction of autonomous drones significantly revolutionizes the way industrial companies operate. The contributions these drones bring to the Industry 4.0 revolution are pushing businesses into the modern world of technology and advancing innovation to the next level.

Autonomous drones are greatly influencing Industry 4.0, due in part to their usefulness and versatility within industrial sectors such as energy, transportation, engineering and more. With 72% of manufacturers expecting to be highly digitized by 2020, autonomous drone technology companies around the world have focused their efforts on software, hardware, and drone integration over the past few years. These new technologies and integrations allow companies to use new methods and existing tools to improve their current systems.

Let’s dive into five key areas that autonomous drones are contributing to and impacting with great value: optimizing operations & maintenance procedures, elevating safety measures, increasing security, carrying out inspections and surveying/mapping terrain.

  • Optimize Operations & Maintenance Procedures. Authorizing autonomous drones to perform routine inspections and checks optimizes operations and maintenance procedures, increasing efficiency and site productivity. They can be used for procedures such as pipeline inspections, thermal structure inspections and gathering accurate volume measurements.
  • Elevate Safety Measures. Reducing human risk by elevating safety measures is an important value that not only transforms daily tasks in the industry, but places a high value on the safety of employees. Using autonomous drones for fire and gas leak detection helps minimize risk and prevents on-the-job injuries. Routine safety and inspection missions increase safety standards across the entire industry.
  • Increase Security. Increasing security for companies is a huge contribution that autonomous drones bring. Human, vehicle and object detection, performed by tracking sensors inside the drone, allow for a heightened level of security, especially along fence and property lines. Any suspicious object or person can be immediately recognized and followed with precise visual recognition. These advanced methods also reduce the need and costs for standard security cameras and sensors.
  • Carry Out Inspections. Inspections can be cumbersome tasks that are necessary for maintaining the integrity and safety of the industry. Autonomous drones are equipped with precise positioning for inspection and can be deployed to carry out these inspections with complete accuracy and meticulousness. Examples include rooftop and tank inspections.
  • Survey and Map Terrain. Using integrated elevated map detection, autonomous drones are able to survey and map terrain in harsh or hazardous environments. This is particularly important when dealing with dangerous items such as power lines, oil rigs and mine fields, in eliminating human risk and guarding the safety of these workers.

Protecting Endangered Species

The contributions autonomous drones are making do not lie exclusively within the industrial zone. In South Africa, endangered species, such as rhinos, are being protected from poachers, as rangers monitor and record activity using these drones.

Employing features such as thermal imaging, vehicle tracking and monitoring perimeter fences, ensures that poaches aren’t illegally entering the area, and that suspects will be spotted before they have a chance of reaching the animals. With the success of this endeavour, this solution will be implemented in other national parks, to not only protect the rhino, but help conserve other endangered species as well.

Flying into the Future

As you can see, the benefits of using autonomous drones in the industrial industry, as well as other sectors, are extensive. From increasing productivity to making the workplace safer and more secure, conditions are changing – and for the better.

Transforming an entire industry is no small task, but companies like Percepto are taking Industry 4.0 by storm with their autonomous drone solution and multi-mission platform.

To learn more about how autonomous drones operate and are transforming industrial sites, contact us today.

 

 

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