Foreign Object Detection System used in Deepfog Environment for Peak Tramway System

I&T Solution	Foreign Object Detection System used in Deepfog Environment for Peak Tramway System (REF: S-1992)
Trial Project
Solution Feature	AI-powered LiDAR and multimodal sensors to detect and classify foreign objects in dense, uneven fog along tram tracks. Real-time alerts of nearby objects, integrates with dashboards and central monitoring, and supports fleet management and data logging. AI-powered 3D point cloud analysis ensures robust detection in low visibility, fog, rain, night, and changing light. Depth imaging and ranging algorithms provide accurate distances and risk assessments to support timely tram operation decisions. Adaptive computer vision models use human-in-the-loop feedback to improve detection accuracy and reduce false alarms.
Trial Application and Expected Outcome	Sensors will monitor foreign object intrusion along a tram section in challenging conditions. Data collected will evaluate object identification and recognition accuracy performance in deep fog. Real-time alerts assess response speed and operator situational awareness. With EMSD support and data, the trial will test the technology in maritime, low-visibility, mountain environments. Results will show reduced intrusion risk, better detection, and safer fog-affected transport.
Additional Solution Information	Foreign Object Detection System in Deep Fog Environment for Peak Tramway - Kodifly Railway Infrastructure Solutions.pdf
Info on I&T Solution Provider	Solution Provider : Kodifly Limited Address : Unit 661, 6/F, Building 19W, No. 19 Science Park West Avenue, Hong Kong Science Park Contact Person : Mr Henry Wong Position : Director Tel : 852 6159 3979 Email : henry@kodifly.com Webpage : www.kodifly.com

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