Ultralytics YOLO11 object detection model enables robots to identify, sort, and handle items.
Robotic arms can leverage YOLO11’s segmentation improving AI automation in manufacturing and logistics.
AI-powered robotic vision systems can classify objects to automate quality control in manufacturing.
Leverage YOLO11 to analyze body movement across industries for use cases such as patient rehabilitation.
Oriented bounding box (OBB) detection helps drones identify object orientations for improved navigation.
AI-powered object tracking in robotics can enhance perception and vision for autonomous operations.
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By integrating real-time computer vision models like YOLO11 in robotics, manufacturers can significantly streamline workflows, improve defect detection, enhance quality control and production efficiency.
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Thanks to computer vision applications in robotics and tools like YOLO11, the global robotic vision market is expected to grow from $2.6 billion in 2023 to $4 billion by 2028.