AI Video Analytics in Contract Logistics - ready to scale!

Imagine a system that can automatically detect and track pallets, measure times, and provide real-time data on warehouse operations, therefore complementing the data in existing Warehouse Management Systems.

Born from a project initiated in 2022 at the DB SCHENKER Enterprise Lab, a collaborative venture between DB SCHENKER and the renowned Fraunhofer Institution for Material Flow and Logistics IML, the system significantly enhances warehouse efficiency by translating video streams into data.

The user-friendly frontends provide critical inbound KPIs for warehouse management and put-away priorities for forklift drivers, thus ensuring process transparency and streamlined operations.

Customers ultimately benefit from improved bottleneck management and Service Level Agreement compliance. DB SCHENKER leverages this solution with a robust architecture featuring bird-eye cameras and hardware installations designed for near-real-time results.

Find out more: www.dbschenker.com