AI-Based Raspberry Pi Machine Vision System
Budget: $1,500 – $3,000 CAD
I'm in need of an expert who can design a cutting-edge artificial intelligence (AI) machine vision software. This software will be running on a Raspberry Pi 5 AI kit and will need to work in tandem with a suitable camera for surface defect detection on a 2 meters wide material moving at a speed of 90 meters per minute. The material is vinyl coated fabric , synthetic leather.
Key Requirements:
- **Camera Selection**: I have allocated a budget between $1000 - $2000 for the camera equipment. The camera needs to be adept at detecting contamination , repeat marks, creases on a large surface area.
- **AI Software Design**: You will need to develop an AI-powered software that can process the camera data in real time and identify surface defects accurately. Software must run on Raspberry Pi Ai kit bundle.
Key Tasks:
- Understand the specifications of the material to be inspected and design the software to meet these criteria.
- Select a camera within the specified budget that can effectively identify contamination.
- Ensure the software runs smoothly on the Raspberry Pi 5 AI kit.
Ideal Skills and Experience:
- Proficiency in AI and machine vision software development.
- Previous experience with designing systems for surface defect detection.
- Knowledge of Raspberry Pi and its integration with AI technology.
- Familiarity with camera technology and selection for industrial applications.
- Ability to provide a manual software update system for the end user.
Key Requirements:
- **Camera Selection**: I have allocated a budget between $1000 - $2000 for the camera equipment. The camera needs to be adept at detecting contamination , repeat marks, creases on a large surface area.
- **AI Software Design**: You will need to develop an AI-powered software that can process the camera data in real time and identify surface defects accurately. Software must run on Raspberry Pi Ai kit bundle.
Key Tasks:
- Understand the specifications of the material to be inspected and design the software to meet these criteria.
- Select a camera within the specified budget that can effectively identify contamination.
- Ensure the software runs smoothly on the Raspberry Pi 5 AI kit.
Ideal Skills and Experience:
- Proficiency in AI and machine vision software development.
- Previous experience with designing systems for surface defect detection.
- Knowledge of Raspberry Pi and its integration with AI technology.
- Familiarity with camera technology and selection for industrial applications.
- Ability to provide a manual software update system for the end user.