| I&T Solution |
Real-time 3D AI-based LiDAR, Camera and RFID Baggage Identification and Tracking System
(REF: S-0996) |
| Trial Project |
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| Solution Feature |
- Proposed LiDAR-based solution was tested to work in daytime, nighttime, bad weather and staff alert messaging system at sub-second delay
- LiDAR and camera fusion solution yields mm-level 3D coordinate measurement accuracy, providing highly accurate shape analysis and information for AI algorithm to classify and track every person, their precise path, behaviors (too slow / drunk) and paraphernelia (details of the baggage in length, width, height and color)
- Entirely compatible with the anomaly detection of pedestrian behavior currently implemented in W-0238. One system fulfils two functions
- Completely stand-alone system in one integrated unit with edge computing that can be flexibly installed anywhere
- Precise output of crowd count (with or without baggage), density, all the paths, multi-directional counting, speed, with user-definable virtual zones and playback-enabled traced track
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| Trial Application and Expected Outcome |
- No camera distortion and obstruction problem, even in area with dense crowd, by using LiDAR-based 3D measurement and fusion with camera output with AI profiling which yields accurate people counting and path tracking
- Stand-alone solution with always-on full privacy protection features and true 3D displacement, speed and acceleration measurements from a full 50m to 200m radius coverage
- On-site support for full stack AI hardware, software, and system fine-tuning to meet the performance and accuracy requirements
- Operation-based real-time anomaly alert system development that integrates with Operations Control Centre with a web-based dashboard for sensor data, health and virtual zone management
- Fully compatible with RFID technology with programmable API for integration with the system
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| Additional Solution Information |
AKK Proposal for EMSD Baggage Tracking System - contact point.pdf
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| 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 | : | +852 8199 9086 | | Email | : |
info@akirakan.com | | Webpage | : | www.akirakan.com / www.amtapac.com |
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