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Showing posts with the label #computer vision

Smart Exercise, Smart Camera

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Smart Camera for Exercise at Home & Gym:  GymCam Source:  Carnegie Mellon University New Smart Camera, New Algorithm, New Exercise Tracking Carnegie Mellon University engineers have developed a smart fitness tracker for the gym and for your home exercise area.  The GymCam system scans the crowds in a gym to automatically identify exercises and count the number of repetitions. All that's needed is a stationary camera with the new algorithm in a gym to detect exercise, the type of exercise and reliably count the number of repetitions. In your home for personal use, it can do the same functions.  It works with a smartphone for a person to record and track their workouts at home.  CMU says a number of companies are expressing interest in the system for in-home exercise. Vision Based System with New Algorithm This is a vision based system that employs a new algorithm to detect repetitive motion.  The CMU inventors say it goes beyond wear...

Autonomous Driving Toward Mass Markets

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Vehicle Intelligence Behind the Wheel Source:  InnovizOne Enabling Mass Commercialization of Self-Driving Cars It's the vehicle intelligence system that enables the autonomous vehicle to detect, classify and track objects.  A LiDAR technology and perception software system called InnovizOne has been cited as the highest rated technology in the vehicle intelligence category by CES 2019.  Innoviz Technologies is headquartered in Haifa, Israel.  The company says the combination of LiDAR and computer vision software is accelerating the commercialization of autonomous vehicles. BMW 2021 BMW is integrating InnovizOne sensing technology and computer vision software for serial production of its autonomous vehicles coming out in 2021.  The LiDAR will be integrated into BMW vehicles through an autonomous driving system from Magna.  The InnovizOne LiDAR generates a 3D point cloud of the vehicle's surroundings in real time.  That enables lane detecti...

AI System Mimics Human Reasoning

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Computers with Ability to Visualize and Identify Objects Source:  MIT Next Generation of Artificial  Intelligence Engineers at the University of California Los Angeles have developed a computer system that can discover and identify objects in the real world the way humans do.  The computer is instilled with human abilities to visualize and identify objects.  An example:  knowing your looking at a dog even though only the paw is visible. Computer Vision The UCLA team have significantly advanced what's called computer vision.  It enables computers to read and identify visual objects.  Current systems are task specific and cannot read and identify objects in a general sense. General AI This new research is an important step toward general artificial intelligence.  That enables computers to learn on their own and make decisions on their own.  Additionally, the computers are intuitive and interact with humans in a more human-like w...