Real-time Fingernail Detection System on Raspberry Pi
Budget: $250 – $750 USD
I'm looking for a seasoned computer vision expert to design and implement a real-time fingernail detection and tracking system. This system will utilize traditional computer vision techniques on a Raspberry Pi 4 Model B (8GB). The focus of the project is to create an efficient, low-power system that can run in near real-time while accurately tracking all five fingers, including their position and shape, without relying on AI-based methods.
Key Requirements:
- Develop a system capable of tracking all five fingers accurately.
- Ensure the system is low-power and efficient.
- Achieve near real-time performance.
The system needs to operate:
- Both indoors with controlled lighting and outdoors with variable lighting.
The tracking data should be outputted as:
- A graphical overlay on video.
Ideal Skills and Experience:
- Extensive knowledge in traditional computer vision techniques.
- Proficiency in working with Raspberry Pi.
- Experience in designing efficient, low-power systems.
- Ability to create graphical overlays on video.
- Expertise in developing systems for both indoor and outdoor environments.
Key Requirements:
- Develop a system capable of tracking all five fingers accurately.
- Ensure the system is low-power and efficient.
- Achieve near real-time performance.
The system needs to operate:
- Both indoors with controlled lighting and outdoors with variable lighting.
The tracking data should be outputted as:
- A graphical overlay on video.
Ideal Skills and Experience:
- Extensive knowledge in traditional computer vision techniques.
- Proficiency in working with Raspberry Pi.
- Experience in designing efficient, low-power systems.
- Ability to create graphical overlays on video.
- Expertise in developing systems for both indoor and outdoor environments.