AWL expands edge-AI video analytics on NVIDIA Metropolis
AWL expanded its real-time, on-device video analytics platform around NVIDIA Metropolis and AWLBOX for retail, manufacturing and smart-city deployments.
Evidence notes
- More than 16,000 edge-AI cameras are deployed across Japan, primarily in retail environments.
- AWLBOX connects to existing camera infrastructure and uses NVIDIA Jetson hardware to process video locally into structured operational data.
- Current applications include shopper-behaviour analysis, manufacturing worker-flow and safety monitoring, and smart-city people-flow analytics.
Company context
AWL develops edge-AI video analytics that convert camera feeds into structured operational data. Founded in 2016 as a Hokkaido University startup, it reports more than 16,000 edge cameras deployed across Japan and serves retail, logistics, agriculture, mobility and other physical environments.