United StatesManufacturing2023 – ongoingFlex-N-Gate
AI vision guidance for robotic clip assembly
Flex-N-Gate's clip placement and quality acceptance exceeded 99% after adding robotic vision
Problem
Dimensional variation in molded interior parts caused a robot to miss clip towers. Failed placements broke some parts and created scrap.
Approach
Flex-N-Gate added Apera AI's Vue vision software to a Fanuc robot at a Texas operation. Cameras supplied images that helped the system locate clip towers despite variation in part dimensions.
Results
Takeaway
Vision guidance addressed variation in the components being assembled. The reported result covered a specific robotic application.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer visionRobotics and automation
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Apera reported that vision guidance resolved missed clip placements at Flex-N-Gate. Placement success had been 88–90%; placement and quality acceptance both exceeded 99% after installation.
Full details are in the original sources.