- Recognition of license plates (car, motorcycle, etc.)
- Whether a helmet is worn (motorcycle, mobility, etc.)
- Violation of number of motorcycle occupants, not wearing a seat belt, signal violation, driving in reverse, lane violation, etc.
ㆍApplication of the latest AI technology (object detection, weight reduction, data generation, unsupervised learning, etc.)
ㆍFine Tuning using big data center and self-collected data
ㆍDetection by classification (motorcycle, vehicle, person, helmet, etc.)
ㆍCollecting a lot of traffic information, such as section speed and traffic volume, in real time through road image detectors and high-pass terminals
ㆍA system that can prevent traffic congestion by displaying the collected information on variable message signs (VMS)
ㆍInducing congestion relief in downtown areas and smooth management of traffic demand by linking with the existing ITS system
Collects traffic information through road vehicle detectors and surveillance cameras, and provides information such as traffic volume, congestion, accidents and events to the VMS, driver navigation systems and smartphones.
Headquarters: #402, 35 Seochangnamhwan-ro 215beon-gil, Namdong-gu, Incheon, Korea
