Automated inspection specialist Landing AI has launched an edge-based extension to its LandingLens platform. LandingEdge is designed to make it easier for manufacturers to deploy deep learning visual inspection solutions to edge devices on the factory floor.

LandingLens enables teams to build deep learning models. With the new edge capabilities, LandingLens customers will more easily integrate with factory infrastructure to communicate with cameras, apply models to images and make predictions to inform real-time decision making on the factory floor. If the factory is connected to the cloud, LandingEdge can update LandingLens with new data to continuously improve deep learning models.

LandingLens has also been enhanced to enable training a deep learning model up to seven times faster than before. By reducing the time it takes to train models, customers achieve fast and iterative AI processes and optimise model accuracy.

“These products mark huge steps in bringing deep learning solutions to the factory floor that are easily integrated to perform automated inspection for a broad range of applications,” said David L. Dechow, Vice President of Outreach and Vision Technology at Landing AI. “They put ever more powerful tools in the hands of manufacturers and systems integrators to quickly implement inspection solutions that result in lower costs, increased productivity, and improve customer product satisfaction.”