YOLO Detection for Counting CNC Parts

Job ID: 37979913

Budget: $250 – $750 USD

I'm looking for a developer who can create a YOLO object detection system specifically designed to detect and count metal CNC parts. This system will be important for the efficient undertaking of our industrial inventory management.

Requirements:
- Expertise in YOLO object detection systems.
- Prior experience working with Image recognition systems for industrial parts is highly desirable.
- Knowledge on CNC parts will be a plus.

The role involves:
- Configuring the YOLO system to accurately detect and count metal CNC parts.
- Ensuring the system performs efficiently even in complex scenarios.
- Creating a user-friendly interface to view and interpret the results from the YOLO system.
Related categories: Python Matlab and Mathematica GPGPU CUDA OpenCV