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ITEA is the Eureka Cluster on software innovation
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AI-based traffic anomaly detection

Project
18036 SMART
Type
New system
Description

The component for AI-based traffic anomaly detection detects a wide range of traffic anomalies in real-time from a given surveillance camera video sequence. The following traffic anomalies can be detected by the trajectory-based detector: zig-zag driving, driving in opposite direction, improper lane usage, road parking, side parking improper crossing by pedestrians or bicyclists, etc. The video-based anomalies include accidents, littering, fighting, robbery, etc.

Contact
Egor Bondarev
Email
e.bondarev@tue.nl
Research area(s)
AI, computer vision
Technical features

The system runs in real-time mode and analysis the video feeds on the fly. It provides anomaly notification messages that include: anomaly type, location, timestamp, and video segment.

Integration constraints

The system requires GPU of a 2080Ti type or higher, 12GB of memory.

Targeted customer(s)

Providers of security/surveillance solutions, TMS integrators, camera manufacturers

Conditions for reuse

Licensing

Confidentiality
Public
Publication date
16-10-2023
Involved partners
ViNotion BV (NLD)
Eindhoven University of Technology (NLD)