Nearly three million industrial robots are currently employed in factories all over the world, as reported by the International Federation of Robots (IFR).

Understanding Robotics And AI

As more and more sectors come to rely on them, robots are moving from the realm of science fiction and the hyperactive imagination to the mainstream.

Robotics is a subfield of AI that focuses on the design and implementation of autonomous robots and other intelligent machines. Robotics is interdisciplinary since robots are mechanically constructed, include electrical components, and are controlled by computer code.

Although robots and AI are aimed at separate problems and have diverse applications, the two are often discussed as if they were the same. Robots have a human-like appearance and, with the help of artificial intelligence, can mimic human behavior.

When We Talk About “AI Robots,” What Exactly Do We Mean?

Sensors (such as 2D/3D cameras, vibration sensors, proximity sensors, accelerometers, and other environmental sensors) are added to AI-powered robots to provide them with sensory data on which they may make decisions in real-time.

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Intelligent robots powered by AI bridge the gap between the two fields. AI robots are piloted by computer programs that employ various forms of artificial intelligence (ML, CN, RL, etc.). The vast majority of robots now in use are not AI robots; rather, they are programmable machines designed to carry out specific, repetitive motions. These robots, however, have restricted capabilities.

If you want the robot to be capable of more complicated jobs, artificial intelligence algorithms are a must.

One possible method for a warehouse robot to make its way around is through the use of a path-finding algorithm. When a drone’s battery is low, it may utilize built-in directions to return to base automatically. Possible artificial intelligence algorithms used by a self-driving automobile to identify and sidestep road dangers. These robots are all good instances of those with artificial intelligence.

Benefits Of Incorporating AI Into Robotics

• Artificially intelligent robots’ primary value is in providing social care. With chatbot-like social abilities and powerful processors, they can help guide people and are especially useful for assisting the elderly.
• Another area of robotics application is in agriculture. The use of these robots eases the burden on farmers.
• Military bots can replace troops and save lives while also spying on the enemy undetected via voice and vision detectors.
• Robots are used in environments where people would perish, such as inactive volcanoes, the depths of the ocean, extreme cold, and outer space.
• With a set of instructions and some extra Intelligence, robots can execute difficult procedures that carry a larger risk of error in the hands of humans. There may be many fewer casualties if robots were enhanced with AI.
• Faster product delivery, increased productivity, and more time for humans to focus on value-added activities like process improvement, AMR problem-solving, and creative problem-solving are all the results of this development.
• Artificial intelligence robots can do in-line quality checks in manufacturing settings, eliminating the need to wait until the conclusion of the production cycle.
• Because AI-enabled robots can pick up on cues from human speech and body language, they can get better at their jobs as they securely assist humans.
• Robotics is often used by huge corporations with even larger warehouses since it reduces operating time and intermediate expenses.
• They might greatly enhance our living conditions in places like the classroom and the household.
• Humanoid robots are helping to accelerate the trend toward individualized education.
• Robots that are linked to the internet at home may conduct things like sweeping and cooking for their owners.
• They hold great promise for addressing global issues including climate change, energy scarcity, and healthcare disparities.
• They can be programmed to undertake many of the mundane, repetitive duties that eat up our day so that we have more mental bandwidth for more interesting activities.
• They give us fresh resources for figuring out how to preserve our natural environment for the benefit of present and future generations.
• They give us hope for a society where everyone, regardless of who they are or where they come from, gets a fair shot at realizing their full potential.

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FAQ’s: AI And Robotics

• Will automation by AI robots make money and power obsolete in the future?

Money wouldn’t only be worthless; it’d be immoral. There would be no way to make money under such a regime. In any plausible scenario, the notion that “more jobs would be created” would have been phased out long before now.

• Will automation generate more job opportunities contrary to general belief?

On the one hand, automation often generates a comparable number of new employment to those it eliminates. Workers who are trained to use machines are more productive than those who are not; this drives down the price of products and services and gives the impression of prosperity to the general public.

• What computer technologies are expected to shape the future of home automation and robotics?

One of the most notable developments in smart home technology is the proliferation of AI-powered home systems. Because of the machine learning feature of AI, it can study sensor data and anticipate what needs to be done before the homeowner ever gives the instruction.

• What factors do clients consider while employing RPA?

Clients may turn to RPA to speed up and improve service in response to consumer demands in specific circumstances. Automation of tracking and reporting activities is one way in which RPA may assist businesses in ensuring regulatory compliance.

• What sort of advances in human-robot collaboration might there be by 2050?

Households will increasingly have personal robots to help with chores like cleaning, cooking, and caring for youngsters and the elderly. Advanced AI will be built into these robots, expanding their capabilities and making them useful in a variety of settings.

The Perfect Match

Statistics show that just one percent of robotics firms are successful; nonetheless, that one percent is increasingly exerting global dominance.

Without a doubt, robotics and AI have the potential to revolutionize our society, giving us the tools we need to confidently and optimistically face an uncertain future.

Whether we welcome or reject these new forms of technology, they will certainly continue to play an ever-greater part in our lives.

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Introducing Intel modular architecture, cExpress-MTL significantly simplifies designs/development for battery-powered, performance-demanding edge applications

Summary: 
1.    Integrating up to 8 Xe-cores (128 EUs), an NPU, and 14 CPU cores (6P+8E) at 28W TDP, the Intel Core Ultra-powered COM Express module — cExpress-MTL — offers 1.9x the GPU performance than previous generation and dedicated AI acceleration with lowered power consumption.
2.    Utilizing Low Power E cores in Intel modular architecture, Intel® Core Ultra™ exhibits to be 30-50% more power efficient than 13th Gen Intel Core processors.
3.    Along with hardware-accelerated AV1 encoding/decoding, the ADLINK cExpress-MTL module harnesses graphics and AI prowess without connecting to external components, effectively simplifying your graphics- and AI-requiring solution designs for applications such as portable medical ultrasound devices, industrial automation, autonomous driving, AI robots, and more.

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ADLINK Technology Inc., a global leader in edge computing, announces the launch of its cExpress-MTL, a Compact size COM Express Type 6 module powered by the latest Intel Core Ultra processor. Featuring Intel modular architecture that integrates CPU, GPU, and NPU all-in-one for optimized performance and efficiency, the module provides up to 8 GPU Xe-cores (128 EUs), an NPU (11pTOPS/8.2eTOPS), and 14 CPU cores at 28W TDP.

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“As demands for varying workloads continue to grow in battery-powered edge applications, which cannot solely rely on the CPU alone, we are excited to showcase our Intel Core Ultra-powered COM Express, ” said Dylan Cheng, Senior Product Manager at ADLINK COM. “By integrating a GPU with 1.9x higher performance than prior generation and an NPU for dedicated AI acceleration on top of its powerful CPU, the featured processor in our cExpress-MTL offers proficient graphics and AI capabilities without needing to connect to additional processing units. This substantially simplifies your solution designs, translating to accelerated time-to-market and lower total cost of ownership.”

Centered on using the Lower Power E core to handle light workloads, the Intel Core Ultra processor can be 30-50% more power efficient than 13th Gen Intel Core, thus able to provide superior performance even in a compact, battery-powered design.

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Equipped with hardware-accelerated AV1 encoding and decoding functionality, the ADLINK cExpress-MTL module can also realize instantaneous media streaming with minimal latency. Along with all PCIe interface upgraded to Gen4 for enhanced data transmission and USB4 support for increased flexibility, the ADLINK cExpress-MTL module empowers developers to achieve various graphics- and AI-requiring, battery-powered applications, such as portable medical ultrasound, industrial automation, autonomous driving, AI robots, and more.

cExpress-MTL
COM Express Compact size Type 6 Module with Intel® Core™ Ultra processors

•     New integrated NPU for dedicated AI acceleration
•     All PCIe signal upgraded to Gen4
•     2.5GbE Ethernet, with optional TSN
•     SoC power reduction
•     2x USB4 support (option)

ADLINK is also working to provide I-Pi development kits based on the cExpress-MTL module for out-of-the-box-ready prototyping and referencing.

[To share your insights with us, please write to sghosh@martechseries.com]

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Tickeron, a leading provider of automated trading solutions for stock trading, is thrilled to introduce an innovative lineup of trading robots that offer real-time insights into AI decision-making. These cutting-edge robots leverage price pattern analysis and correlation analysis, equipping traders with powerful tools to navigate the dynamic stock markets effectively.

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In the past, subscribers to trading robots often faced uncertainty about upcoming signals, requiring quick responses upon signal generation. In response to our users’ desire to anticipate AI-driven trading actions in advance, our team has developed an intuitive interface that allows traders to monitor the limit orders planned by our AI Robots. With our new line of robots, users can now stay well-informed about the robot’s next move by simply accessing the “Pending Orders” tab on the robot’s page. This ensures that users are always informed about when and at what price the robot will initiate a new trade or close an existing one. These advanced tools have been designed to cater to both novice and experienced traders alike.

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Trade Signals Presented as Different Types of Pending Orders:

Another noteworthy innovation is the robot’s ability to specify its preference for order types, including limit, stop limit, or market orders. The mastery of strategically opening trades to secure the most accurate execution price and optimal liquidity is a pivotal factor in the success and profitability of any trading system. Currently, we marked these AI Robots as New on our website but we have a plan to transition all trading bots to AI Robots with pending orders.

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“Our primary objective is not only to pioneer effective trading algorithms but also to simplify their usage for our subscribers. This new feature  ensures that users can consistently anticipate the robot’s next move, simplifying the application of complex technologies,” explained Sergey Savastiouk, Ph.D., CEO, and Founder of Tickeron.

[To share your insights with us, please write to sghosh@martechseries.com]

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Everyone’s at least a bit scared of Artificial Intelligence (AI). Whether you’re technophobic, fearing an apocalyptic uprising in machines akin to ‘I, Robot’, or you’re a training lawyer seeing GPT-4 beat 90% of your peers in the bar. Even Elon Musk, Steve Wozniak and hundreds of other tech experts signed an open letter calling a pause on developing AI tools more advanced than GPT-4. Scary. 

But surely the creative roles are safe?

Creativity is an innately human characteristic that no robot can replicate, isn’t it…?

Whilst we’re all typing in prompts in an attempt to speed up the menial aspects of our jobs, the impact of AI on various industries is accelerating at a rate of knots. For most people creativity and music felt like an area that would remain unaffected. That is until David Guetta caused a stir with his Eminem-style deepfake. Since then, we’ve heard the likes of Drake, The Weeknd, Ye and Oasis all mimicked with unnerving likeness to the real deal. 

It’s not just music either. German photographer Boris Eldagsen refused his p**** for winning at the Sony world photography awards, admitting he generated the image using AI. He did it to prove a point; that people wouldn’t identify the plagiarism and accelerate a debate around AI’s impact on “the photo world”. All of these ‘deepfakes’ provide a worrying insight into what the future may look like given the exponential growth of AI that is set to occur over the coming years.

But it’s not all doom and gloom. True creativity remains a human quality that is difficult to replicate. Following his conversation with an AI robot artist (Ai-da), Baz Luhrmann, stated “until she can actually love and dream, I’m not worried”. He believes that AI can help facilitate creative work and do a lot of the grunt work, but will always lack the authentic emotions to fulfill the task completely. In the words of Keith Richards, “Music is a language that doesn’t speak in particular words. It speaks in emotions, and if it’s in the bones, it’s in the bones” and creativity will never be in the bones of AI.

From a brand perspective, the development of image generative AI means we can input a brands values, markets, objectives, target audiences, and generate numerous visual identities at the click of a button. People are often astounded by how hard it is to differentiate it with human-made alternatives. There have even been a few AI generated adverts circulating on social media recently, including one for ‘Pepperoni Hug Spot’. Aside from the creepy mouths and other quality issues, it’s almost believable, if not a little cheesy. However, this is largely due to the relatively novel nature of generative AI. It collects the data available to it and generates output that fit the criteria.

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Over time, if everyone starts putting data into these systems, the output will start to become standardized and boring. If people are just creating things based purely on historical information, how will anything new be created?  

The same can be said for sonic branding. When we’re in a ‘discovery phase’ of a project we establish ‘audio cornerstones’ that are essentially principles that describe the brand at its core, which are also meaningful in music and sound e.g. bold, nostalgic, mysterious etc. I’m sure at some point in the not-so-distant future there will be a way of typing these audio cornerstones into a program that’ll create 100 different tracks that resemble these cornerstones – But they will lack the human touch that facilitates the emotional connection between brand and consumer. 

However, that doesn’t mean AI has no place in the creative process. We have a product called Ignite that uses AI to benchmark a brand’s values against 1000s of commercial tracks, built with the input of over 500,000 consumers. This roots the brand’s audio cornerstones in music that the client already knows and provides clarity on the creative direction. Our sound effectiveness partners, SoundOut, test the creative directions we’re exploring to validate our work and make sure the brief is being hit. They use AI in their products, making the process more efficient and accurate. When speaking about their new AI generated product (OnBrand) David Courtier-Dutton, CEO said “Technologies like OnBrand are just another tool that helps brands and agencies ensure that creative directions and music choices being explored are indeed aligned to the core brand values and deliver on the brief”

So, instead of using AI to create – We should view AI as a creative tool that can help make processes more efficient and the output less subjective. It can be a collaborator, used to steer creativity in the right direction, rather than replacing it altogether.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Tickeron, a leading developer of AI-based trading neural networks, is proud to announce the release of a new set of ai robots that have proven to be highly resilient in choppy markets. The S&P 500, a key indicator of the U.S. stock market, fell by 13% in 2022. However, during this same period, all of Tickeron’s robots in this set not only remained profitable but also earned over 30% of the average annuali income in forward testing enviroment.

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Traders and investors face significant challenges in unstable market conditions, and Tickeron has received numerous requests from clients asking for trading AI algorithms that can help them trade effectively in such difficult years. Tickeron’s team of quants rose to the challenge and created a pool of AI Robots that are resistant to high market volatility and choppy markets while remaining accessible to both beginners and experienced traders.

In the process of creating these algorithms, Tickeron trained several neural networks based on several models, including a model for analyzing price dynamics and volatility of each stock, a model for analyzing the profitability of stocks of specific sectors of the US economy, and a synergy analysis model of several sector-focused robots in a portfolio of robots. The complex application of these models enabled Tickeron to create AI Robots for Choppy Markets.

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For beginner traders, we have created ai robots for beginners that are easy to follow and require minimal time commitment. These robots typically execute 5-10 trades per week, with a holding time of 1 to 4 days. This means you can easily track their signals without being glued to your screen.

For advanced traders seeking a more sophisticated trading approach, our ai robots for choppy markets  are designed to trade like hedge funds, making several dozen transactions per week, both long and short. This ensures market neutrality and reduces dependence on current market conditions.

The ability to satisfy any request of traders using the power of machine learning algorithms and the accumulated many years of backtesting experience is what sets Tickeron apart from other developers of trading robots. Our main goal is to enable traders to trade in the hedge fund style, and we have successfully implemented this in our new sets of ai robots,” said Sergey Savastiouk, Ph.D., CEO, and Founder of Tickeron.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Tickeron, a leading provider of AI-based trading tools, is pleased to announce the launch of its latest range of AI Robots designed exclusively for the most frequently traded stocks on the US stock market.

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After the successful debut of our Robot Factory that produces state-of-the-art AI Robots, we received a deluge of requests for robots tailored to hedge funds and individuals who trade only the most popular stocks with high liquidity and small spreads. However, this posed a unique challenge and opportunity, as narrowing the scope of stocks can increase the need for high-quality signals and reduce diversification.

To overcome this challenge, our team of quantitative analysts has created a unique approach to analyzing the most active stocks. We’ve combined Technical Analysis (TA) and Fundamental Analysis (FA) into a unified platform that utilizes multi-level backtests and forward tests to evaluate price movements and changes in fundamentals, factoring in volatility to accurately identify entry and exit points for trades.

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Our AI algorithms rely on proprietary and modern models of fundamental analysis to choose stocks with business indicators that align with the opened position’s direction, ensuring a strategic approach to trading. This strategy provides our clients with real-time market insights, empowering them to make better trading decisions and achieve more profitable outcomes.

Our advanced tools, such as the Pattern Search Engine, Real-Time Patterns, Trend Prediction Engine allow traders to conduct sophisticated financial markets analysis as well as our Market Overview or Stock Market Live Today

“Our AI Robots for Popular Stocks are engineered to analyze market trends and technical indicators in real-time, enabling swift and precise trading decisions based on our models. Thanks to our unique methodology of blending technical and fundamental analysis, we’ve created an extensive library of easy-to-follow robots that trade the most active and liquid stocks on the US stock market with unparalleled precision,” said Sergey Savastiouk, Ph.D., CEO, and Founder of Tickeron.

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 [To share your insights with us, please write to sghosh@martechseries.com] 

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Tickeron, the quant-sourced marketplace for AI-powered stock trading tools, is pleased to introduce a new set of AI robots driven by fundamental analysis.

Tickeron’s previously released AI Robots have all relied on technical analysis (TA) to train our AI algorithms. To advance our technology and provide a more comprehensive AI tool to our investor community, we’re implementing sophisticated models that apply fundamental analysis (FA) to the AI Robot building process. As a result, we launch the new generation of user-friendly AI Robots with a low frequency of signals and a number of open positions.

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Fundamental analysis allows investors to evaluate a business’s balance sheet, earnings growth, and other key metrics that measure quality and fair value. Strong fundamental analysis can separate companies with solid growth prospects and competitive advantages from companies that are underperforming or poised to underperform.

Tickeron has researched hundreds of investment strategies based on different approaches – value, growth, momentum, factors, and volatility, to name a few. Our research on fundamental analysis focused on both classical models for assessing the value and quality of a company’s business (Graham, Fama-French, Piotroski, etc.) and more modern approaches (GARP, Greenblatt, Novy-Marx, etc.).

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Our mathematical algorithms performed thousands of backtests to evaluate each individual model’s effectiveness historically. Our team of quants used data and findings from our research to create a pool of unique investment strategies that combine the most effective elements of different approaches to fundamental analysis.

“Tickeron’s new line of AI Robots driven by fundamental analysis (FA) allows us to significantly expand our range of capabilities for developing trading strategies. As a result, we are getting even closer to real money trading for our clients,” said Sergey Savastiouk, Ph.D., CEO and Founder of Tickeron.

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[To share your insights with us, please write to sghosh@martechseries.com]

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It’s a match made in consumer robotics heaven: Miko, a global leader in AI robots for kids, has acquired a majority stake in Square Off, a startup known for AI-driven automated board games.

Miko has acquired 70 percent of Square Off, giving complete exit to existing investors. With the acquisition, Miko will expand its product line beyond the AI robot companions that put it on the map. Miko’s eponymous kids robots use AI to deliver playful learning experiences for children ages 5 and older.

The move is a natural fit for two companies that share a passion for robotics and learning, says Sneh Vaswani, Miko co-founder and CEO. Kids who actively use Miko 3, the company’s bestselling robot, increase their speaking proficiency, engagement with academic activities and physical activity by more than 45% on average. Square Off’s interactive boards, which build cognitive skills via games such as chess, use robotics and AI to adapt to the player’s level of expertise.

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Miko robots and Square Off smart board games will soon communicate, with Miko robots taking on the role of instructors that teach children to play chess and other board games, Vaswani says.

“AI is the future of play, and Square Off’s innovation has transformed how players young and old interact with chess and other board games,” Vaswani says. “We’re excited to help Square Off continue accelerating its growth.”

The startup’s leadership will stay on board, continuing to work toward their vision of bringing robotics and AI-powered smart toys to 10 million homes globally. Miko will support the startup through that journey.

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“We’re thrilled to join forces with Miko on this journey to revolutionize edutainment for kids,” says Square Off Co-Founder and CEO Bhavya Gohil. Atur Mehta, the startup’s co-founder and CTO, says the move will “bring new levels of innovation, design and interaction to the space.”

The acquisition is the latest in a string of bold strategic moves from Miko. This spring, the company announced a partnership with Paramount Consumer Products. In August, Miko 3 became the first kids robot to launch an official Disney app. Miko was the only Asian startup to participate in the 2021 Disney Accelerator.

“This is a well-planned strategic move from Miko, where on one hand the software ecosystem is expanded through Miko Max platform offerings and on the other hand an ecosystem of IoT connected products is built around the child through these initiatives,” said Keshav R. Murugesh, seasoned technology evangelist and one of the earliest backers of Miko.

Beyond a passion for robotics and learning, Miko and Square Off share other commonalities. Both companies launched their first consumer robotics product in 2017, have developed multiple iterations since and have teams located both in Mumbai and Silicon Valley. The companies both experienced considerable growth during the pandemic, as more families sought out interactive learning experiences for their children.

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[To share your insights with us, please write to sghosh@martechseries.com]

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As Employees Return to the Office, DoorDash Uses Innovative Robotics Technology to Build Safe, Tech Forward Modern Workspaces

Cobalt Robotics, the only machine learning company to automate repetitive manual security and facility tasks with autonomous robots around the world, announced its partnership with DoorDash. DoorDash has implemented Cobalt’s AI automated robots to increase security for its corporate offices and help its employees transition back to the office safely. This is the first time DoorDash has deployed AI robots in its office for securing the workplace.

The company was looking at automation technology to optimize its operations by transitioning high-volume repetitive tasks to robots that could perform those tasks more efficiently. DoorDash’s Global Safety and Security team collaborated with Cobalt and leveraged its advanced robotics technology to deploy the world’s first fully-integrated and robot-automated COVID-19 screening and check-in system across its corporate offices in early 2020.

Using robot automation allowed DoorDash to reduce COVID-19 transmission risk in its offices, and enabled the company to enforce mask wearing, social distancing, and other health and safety protocols without putting its team at risk.

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As more employees returned to the office, DoorDash began using Cobalt robots to perform routine security tasks including patrols for hazard and threat identification, perimeter control, security escorts, and alarm response. Cobalt’s technology has enabled DoorDash to deliver industry-leading reliability, quality, and employee experiences in its workplaces. Cobalt’s AI-powered autonomous robots are now widely used and are a pillar of DoorDash’s workplace safety and security strategy.

Chris Cherry, Head of Global Safety and Security at DoorDash, comments, “DoorDash is fully committed to the safety and security of its employees and workplaces. By placing leading technologies and data at the center of our workplace strategy, we have been able to achieve our safety and security objectives while simultaneously fostering the curated experiences that drive human connection and innovation. The same ingredients that went into building DoorDash into a multi-category leader are present in how we approach safety and security at DoorDash. From the very beginning of our partnership, Cobalt has understood this and enabled us to experiment, measure, and adapt rapidly to the dynamic needs of our employees and the challenges of the modern workplace.”

“DoorDash is known for its culture of innovation, deploying groundbreaking technology throughout their business, and the workplace was no exception,” said Mike LeBlanc, President and COO of Cobalt. “The company has proven to be one of today’s most adaptable businesses and took that same determination to building a creative, innovative, and safe office space. We are proud to work with Chris and his team, using robotics to ensure a smooth transition back to the office for DoorDash employees and to give the company critical data on incidents and facility management to make better informed decisions.”

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“DoorDash has already realized previously unachievable levels of task efficiency, reliability, and quality, all the while enhancing our employee and workplace experience,” said Cherry. “We are truly in the earliest stages of a cultural shift that is driving the reimagination of the workplace experience and one thing is clear: technology is going to be central to that experience.”

Cobalt’s Remote Guarding Service Solution
Cobalt’s Remote Guarding Service Solution includes state-of-the-art robots with over 60+ sensors including day-night cameras, 360-degree cameras, thermal cameras, depth cameras, LIDAR, and badge reading capabilities. Using machine learning, semantic mapping and novelty detection, the robot can independently identify and flag security-relevant anomalies like people, sounds, motion, doors and windows and missing assets. Each robot has a screen for communication between remote security specialists and people on-site.

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[To share your insights with us, please write to sghosh@martechseries.com]

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PowerVision True Unmanned Aerial System combines the PowerEgg X 8K drone, PowerEgg Dock and its cloud platform for an integrated, turnkey solution

 PowerVision Tech Inc., a leader in AI robots, officially released its whole new industrial drone system PowerVision True Unmanned Aerial Solution, successfully delivering the promise of drones for remote, autonomous data collection missions. The solution deeply integrates the PowerVision Dock, PowerEgg X 8K drone and the PowerVision Cloud web-based software platform. With the True Unmanned Aerial Solution, PowerVision has solved many limits to deployments of legacy drones — such as limits to range, complex operations and high cost. Now, data acquisition drones can be deployed at scale as data acquisition infrastructure, instead of tools to be operated on individual missions.

This solution can be used widely across countless applications, such as powerline inspections, environmental compliance, O&G asset inspections, facility security, GIS, surveying, and mapping.

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The PowerVision True Unmanned Aerial Solution is the most compact autonomous drone system in the world, weighing just 34.8lbs (15.8kg) in a slim 570×400×250 mm form factor. This compact design allows the entire solution to be rapidly deployed by a single person, without special tools or equipment.

Powered by artificial intelligence, the PowerVision True Unmanned Aerial System streamlines the drone’s takeoff, flight, dynamic mission and return to the charging dock autonomously.

A single installed solution can cover an area with a radius of 3.1 miles (5km). Multiple units can be connected and installed in an area to cover large-scale infrastructure projects or assets. This is critical in enabling drones to economically be deployed for data acquisition across large areas and to maintain infrastructure assets like pipelines, powerlines and more.

To meet the requirements for outdoor operations, PowerVision Dock is IP55-rated to resist dust and water in different environments. With the help of an intelligent temperature control system, it can still perform well at an ambient temperature between 68 °F and 113 °F (20℃ and 45℃). The onboard intelligent system monitors real-time temperatures, precipitation and wind to secure operational safety.

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The PowerEgg X 8K uses a 1/2-inch CMOS sensor to capture 48 megapixels photos and 8K UHD videos, all with 4x lossless zoom. Optimizations to the propellers, ESC, and the entire system have been made to achieve a 34-minute flight time. Based on the most advanced digital image transmission technology, PowerEgg X 8K supports dual-band communication (2.4/5.8GHz), interference detection and avoidance, dynamic frequency switching, anti-disturbance, and real-time FHD image transmission with a max transmission distance of 7.5miles(12 kilometers)

Using forward and downward vision sensor, the drone can detect the environment, which improves the safety and stability of flight. The PowerEgg X 8K can withstand the wind up to Level 7 on the Beaufort Scale (Near Gale) and fly in adverse weather conditions. A newly designed supplementary landing light automatically triggers under low light conditions to secure the take-off and landing.

In order to meet the special demands for the power industry, the PowerVision “True Unmanned Aerial” Solution also supports centimeter-level positioning, solar power supply and transmission extension antennas, which makes deployments more accurate, independent and reliable.

The release of the PowerVision True Unmanned Aerial Solution is a revolutionary advancement for the drone industry. It leads the path for countless industrial drones to transfer from the local and commanded flight to the remote and truly unmanned operations, as when the iPhone took phones from functional devices to smartphones.

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