Case Study: Foot Levelers achieves 27% higher throughput with Tryolabs computer vision automation

Foot Levelers boosts operator throughput 27% with Tryolabs

Foot Levelers, a world-leading provider of custom orthotics, sought to improve their manufacturing efficiency by automating manual processes. They engaged vendor Tryolabs to incorporate machine learning and computer vision solutions to speed up their insole design process, which involved technicians manually measuring feet and placing pads.

Tryolabs implemented a system using keypoint detection algorithms to automatically measure foot dimensions and place corrective pads on the orthotics. This solution was deployed on-premises and integrated into Foot Levelers' existing design software. The project resulted in a 27% increase in operator throughput, saving 10 seconds per scan processed, with Tryolabs' system matching or surpassing the technicians' results two-thirds of the time.

Foot Levelers