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Computer Vision and Robotics Use Case

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Computer Vision Changes the Scope of Industrial Robotics COMPUTER VISION AND ROBOTICS EXPAND INDUSTRIAL CAPABILITIES THE CHALLENGE The first industrial robot was invented in 1954 and was installed seven years later in a General Motors factory for spot welding and die-casting. Since then, robotic technology has been used in industries from manufacturing to agricultural farming as a means to increase efficiencies, lower costs, and increase revenues. These robots are usually designed to work independently, executing pre-scripted tasks in spaces protected from human interference. They have increased factory productivity but have limited capabilities. Cobots, or collaborative robots, are a new step in industrial robot technology. Unlike most robots, which act as replacements for human workers (and often operate in cages to prevent injury to workers), cobots are designed to work side- by-side with their human counterparts, even collaborating on the same task. How do these robots gain new abilities that can increase their operational value while remaining safe and secure as they operate in a factory near humans? THE APPROACH One way to increase robotic abilities in a safe and efficient manner is to use an innovative new technology: computer vision. This technology enables a robot, or computer system, to use a camera or scanner to transform multidimensional inputs into data it can process, "perceiving" its surroundings and mimicking sight. Computer vision coupled with machine learning gives the computer increased tech- nical abilities and the opportunity to perform more complex tasks. Robots accessing computer vision gain abilities beyond scripted tasks and can augment the abilities of their human coworkers by participating in their labors or by using technologies such as infrared imaging to see and report on things invisible to the human eye. This technology dramatically increases the potential for robotics in industry, creating avenues that would not otherwise be viable. For example, using an AI-enabled cloud, connected robots could recognize objects faster and send collective mes- sages, notifying or warning humans of situations that they could not see. They could also aid in quality control, as they could be able to recognize the condition of products when compared against the expected visual representation. ROBOTICS CHALLENGES • Increase the capabilities and productivity of robots working in industrial, agricul- tural, and other fields • Increase the safety and security of robotic operations with and near human workers WIND RIVER SOLUTIONS • Wind River Helix Virtualization Platform: A real-time, embedded, Type 1 hypervisor that can manage unmodified guest operating systems running in virtual machines, consolidating robotics control system applications and providing safety, performance, and flexibility for the opera- tion of a modern robotics system • VxWorks: The world's leading RTOS, enabling deterministic applications scal- ing from very small compute packages that provide the real-time performance required for safe and efficient robotic functions • OpenCV for VxWorks: A custom modi- fication of the Open Source Computer Vision Library git repository to allow integration with VxWorks 7, with complex algorithms to allow computers to recog- nize multidimensional environments • Wind River Titanium Cloud: Portfolio of virtualization software products that enable a modern cloud infrastructure for industrial applications (including robot- ics), reducing OPEX and increasing agility • Wind River development tools: Powerful tools, such as compilers, analyz- ers, tuners, debuggers, and full system simulators, to save developers time and increase quality 1 COMPUTER VISION AND ROBOTICS USE CASE

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