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intel-realsense

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This project presents a hybrid vision-based bin-picking system for collaborative robots. It combines deep learning (YOLOv5) for coarse object detection and classical computer vision algorithms (FAST + BRISK) for precise pose estimation. The system is implemented using the ROS and a low-cost Intel RealSense D435i depth camera.

  • Updated Jun 20, 2025
  • Python

Multi-sensor RealSense + YOLO Top-View People Counting System, developed within the MEI (Museo Egizio Immersive) project. The solution enables real-time detection and counting of people in defined spatial areas, driving immersive scene logic, lighting systems, and audience analytics for interactive museum installations in Unreal Engine 5.

  • Updated Oct 16, 2025
  • Python

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