Warehousing
Vision labelling for warehouse operations and robotics perception, including LiDAR and multi-sensor sequences where needed.
Who it is for
Warehouse operators adding computer vision to their sites, and warehouse or industrial robotics teams training perception for mobile robots and automated handling.
Typical problems
Logistics environments change constantly: racking, pallets, people and vehicles all move. Typical problems include:
- Navigation: aisles, obstacles, floor markings and free space for mobile robots.
- Pick verification: confirming the right item was picked or placed.
- Human and robot interaction: people, robots and vehicles sharing the same space.
- Failure cases: dropped loads, blocked aisles and other rare events a model must recognise.
What we can do
Vision labelling for warehouse operations and robotics perception: boxes, segmentation, keypoints and tracking on camera data, and LiDAR or multi-sensor sequences where needed. See Computer Vision.
Related proof
Our workplace safety object detection work covered industrial vehicles and equipment across a detailed taxonomy. It was industrial rather than warehouse-specific, but the vehicles, equipment and people it covered are closely related to warehouse perception.
Delivery, security and quote
Every project runs through the same method: an agreed scope and taxonomy, calibration where the project calls for it, production by trained annotators and review before anything is handed back. Read more in How We Work and Tools and Delivery.
Data handling, including access, transfer, retention and deletion, is agreed with you in writing before work starts. See Security and Compliance for how we handle data.
For fuller detail on LiDAR and multi-sensor work, see Autonomous vehicles and robotics.