Motocatch runs on a custom-trained detection engine built specifically for Indian road conditions — handling noisy videos, degraded plates, and crowded traffic scenes with high accuracy.
Our proprietary AI model is trained on millions of real-world Indian traffic scenarios — from busy intersections to rural highways — handling low-light footage, motion blur, and partial plate occlusion.
Custom-trained neural networks optimized for Indian vehicle types and plate formats.
Multi-stage processing for vehicle detection, tracking, and violation classification.
Instant analysis from submission to officer dashboard in under 3 seconds.
Our Automatic Number Plate Recognition (ANPR) system is trained specifically on Indian plates — including damaged, dirty, and partially obscured plates across all state formats.
Motocatch is trained to recognise the most common and dangerous traffic violations on Indian roads.
Detection of riders and pillion passengers without helmets, including partial helmet use.
Identification of three or more persons on a two-wheeler, a common road safety violation.
Detection of drivers operating mobile phones while in motion on public roads.
Flagging of vehicles travelling against traffic or in restricted lanes.
Detecting car occupants not wearing seatbelts in moving or stationary vehicles.
Continuously expanding violation categories based on enforcement team feedback and data.
Every report submitted through Motocatch is anonymized at the point of capture. Citizen identity is never exposed at any stage of the enforcement workflow.
All video evidence and metadata is encrypted in transit and at rest using AES-256 standards.
Reporter identity is cryptographically separated from the report before it enters the review pipeline.
Every piece of evidence is securely timestamped with exact GPS coordinates to ensure legal validity.
Motocatch integrates directly with existing traffic enforcement systems — no new hardware, no disruption to current operations.
Approved cases are routed directly into state e-Challan systems via secure APIs, enabling fast and traceable enforcement.
A centralized review interface for traffic officers to manage cases, view analytics, and monitor enforcement activity.
Well-documented REST APIs allow integration with traffic management systems, smart city platforms, and data analytics tools.
The citizen-facing app works on all Android and iOS devices with minimal data usage, even on 3G networks.
Book a technical demo and see how Motocatch processes real traffic footage in under 3 seconds.