Kardex launched BinInductAI, an intelligent bin induction solution that uses AI and computer vision to provide greater consistency, fewer manual steps, and improved quality control during AutoStore implementation.
Featuring AI-driven verification for enhanced error detection, it eliminates the need for manual bin induction pre-checks and scanning, reducing on-site induction time by up to 30%.
“BinInductAI is the latest AutoStore innovation from Kardex, significantly reducing on-site induction and installation times, and implementation costs. Powered by AI and computer vision, BinInductAI applies intelligent automation to a traditionally manual process, helping customers work faster and achieve greater consistency during implementation,” says Fred Fox Jr., president of Kardex Solutions Americas.
Key takeaways:
· BinInductAI simplifies the induction process with one touch via computer vision and AI-based image analysis. Operators simply place the bin in the induction port, with no manual scanning or pre-checks required. Before induction, the system automatically performs a series of quality checks, verifying and inspecting bin presence, bin walls, robot pickup holes, and barcode readability. Once the barcode is validated, BinInductAI confirms with the AutoStore system that the bin is not already registered to prevent duplicates, before automatically sending the insertion commands and inducting the bin into the AutoStore grid.
· BinInductAI transforms the bin induction process by replacing manual, operator-dependent verification with intelligent, AI-driven inspection. Standardizing verification for every bin ensures quality checks are thorough and consistent.
· Before a bin enters the system, BinInductAI automatically identifies damaged or out-of-spec bins, preventing potential problems from affecting the AutoStore grid and reducing the risk of downstream disruptions. By automating what has traditionally been a manual process, the solution reduces operator workload and minimizes the potential for human error during implementation.
