Real-Time Face Detection with YOLO/C++
Budget: $10 – $30 USD
I need an expert in YOLO and C++ for real-time video processing. The project involves detecting faces from a live camera feed.
I'd like to build an application using YOLO and C++. The app should monitor the driver’s eyes and seatbelt usage. It needs to detect behaviors such as making phone calls, looking to the left or right, falling asleep, and whether the seatbelt is properly worn. When any unsafe behavior is detected, the app should display an alert message. The application should work entirely offline, without requiring an internet connection. It must be optimized to run efficiently on machines with limited processing power.
Requirements:
- Use YOLO for object detection
- Implement in C++ for efficiency
- Process live camera feed in real-time
- High accuracy and low latency
Ideal Skills:
- Experience with YOLO and C++
- Background in computer vision
- Familiarity with real-time video processing techniques
- Ability to optimize algorithms for speed
I'd like to build an application using YOLO and C++. The app should monitor the driver’s eyes and seatbelt usage. It needs to detect behaviors such as making phone calls, looking to the left or right, falling asleep, and whether the seatbelt is properly worn. When any unsafe behavior is detected, the app should display an alert message. The application should work entirely offline, without requiring an internet connection. It must be optimized to run efficiently on machines with limited processing power.
Requirements:
- Use YOLO for object detection
- Implement in C++ for efficiency
- Process live camera feed in real-time
- High accuracy and low latency
Ideal Skills:
- Experience with YOLO and C++
- Background in computer vision
- Familiarity with real-time video processing techniques
- Ability to optimize algorithms for speed