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Camera obstacle detection
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Camera obstacle detection
United States, Pennsylvania, Philadelphia,
Published 1 month ago
Description
Camera obstacle detection is a type of computer vision system used to detect and recognize obstacles from images or video streams. It is commonly used in autonomous vehicles, robotics, and drones to help navigate around obstacles or avoid collisions. Camera obstacle detection systems use various algorithms and techniques such as image processing, machine learning, and deep learning to detect and identify objects in an image or video stream. Some of the most common algorithms used are convolutional neural networks (CNNs), support vector machines (SVMs), and random forest algorithms. By combining these algorithms, camera obstacle detection systems can accurately recognize objects in a scene in real-time, allowing autonomous vehicles, robots, and drones to safely and efficiently navigate around obstacles.
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