Seatbelt Violation Detection
Detects drivers or passengers not wearing a seatbelt from roadside or checkpoint IP cameras. Uses deep learning to identify seatbelt non-compliance from the vehicle window area. Outputs violation events with cropped evidence images and optional plate number for enforcement workflows.
Key Features
Discover the powerful capabilities that make Seatbelt Violation Detection stand out
Detects seatbelt non-compliance from roadside IP cameras
Driver and front-passenger seatbelt detection
ANPR pairing — links violation to vehicle plate number
Evidence image with occupant crop and vehicle context
Works in daylight and low-light conditions
Real-time alerts and violation log for enforcement review
Configurable confidence threshold to manage false positives
Edge deployment for on-site processing
Technical Specifications
Detailed technical information about Seatbelt Violation Detection
Prerequisites & Limitations
What Seatbelt Violation Detection needs to run reliably, and the operating limits to plan for.
Prerequisites
- Camera: 2MP+ IP/RTSP (higher resolution preferred) angled to capture a clear view through the windshield
- Strong, glare-controlled illumination — IR/white-light illuminator to see into the cabin day and night; a polarising filter helps reduce windshield glare
- Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
- Mounting at a height and angle that captures the cabin while minimising windshield glare
- Stable power and network at the roadside
Operating Limits
Indicative figures — actual limits depend on hardware, scene, and configuration.
Deployment Models
Seatbelt Violation Detection is available in 2 deployment models. Choose the option that fits your infrastructure.
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View productRelated Knowledge Base
Learn about the hardware and infrastructure components used in a Seatbelt Violation Detection deployment.
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