Computer Vision Project: Detecting and Classifying Bucket Movement

'm developing a real-time computer vision system to detect and classify the movement of a dump bucket. The system must identify and count two key states:

✅ Horizontal Position – When the bucket is moving into the operational area.

✅ Vertical Position – When the bucket is dumping material.

?️ Technical Requirements:

• Object detection and movement classification using YOLO.

• Local processing on a Jetson Nano (or similar edge computing device).

• Monitoring with two high-quality night-vision cameras.

• Real-time counter for each monitored zone.

? Looking for a developer with:

? Expertise in AI model training and optimization for object detection.

? Experience with Jetson Nano, TensorRT, and YOLO.

? Ability to implement efficient real-time processing pipelines.

? Knowledge of camera integration and embedded system development.