True 3D AI LiDAR-based Privacy-Protected Small Foreign Object Detection on Tram Track

I&T Solution True 3D AI LiDAR-based Privacy-Protected Small Foreign Object Detection on Tram Track
(REF : S-1009)
Matched I&T Wish
Trial Project
Solution Feature
  • Artificial Intelligence-based: learnable thus adaptable
  • Privacy Protection: No facial recognition and no video analytic function, and fully complied with personal data (Privacy) Ordinance
  • Proposed solution was tested to work in daytime, nighttime and bad weather
  • Completely stand-alone system in one integrated unit that can be flexibly installed on Tram or along tram track
  • Fast detection in a full 3D space, returning the location and size of small / foreign object on tram track resulting in a depth of rail groove < 29mm. System is compatible to ADAS.
Trial Application and Expected Outcome
  • Equipped with AI analytics to differentiate the presence of small / foreign objects in the rail from normal tram service scenario, with 4 months deployment period to capture all necessary scenarios for the AI training process
  • On-site site reconnaissance, data collection and integrability study for system design assumptions, planned deployment and AI training
  • Development of alert logic and trigger alarm to Duty Operators for further action, with snapshot and location information records timely disseminated and recorded for immediate / follow-up actions
  • Flexibly movable stand-alone solution with always-on full privacy protection features, customized to Tramway safety operational guidelines
  • On-site support for full stack AI hardware, software, and system fine-tuning to meet the performance and accuracy requirements
Info on I&T Solution Provider
Solution Provider:AkiraKan Limited
Address:West Wing 2/F, 822 Lai Chi Kok Road, Lai Chi Kok, Cheung Sha Wan, Kowloon, Hong Kong
Contact Person:OOI Ghee Leng
Position:Technical Business Development Manager
Tel: Tel: +852 8199 9086
Webpage: /

For details of the above I&T solution, please contact the I&T solution provider.