Transportation
Video and multi-sensor annotation for transit settings: commuters, belongings and vehicles on station and on-board footage.
Who it is for
Transit operators and the suppliers who label commuter or vehicle footage for them, from station analytics to on-board monitoring.
Typical problems
Attributes and objects on station or vehicle video, such as people, masks, bags and other belongings in crowded, fast-changing scenes, and related multi-sensor vehicle work.
What we can do
Video annotation for transit settings, plus LiDAR and multi-sensor QA for vehicle data. See Autonomous vehicles and robotics for fuller detail on point clouds and MCAP data as used with Foxglove.
Proof
Our published mass-transit project labelled masks and belongings on commuter footage. See the full mass-transit story.
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.