The Trial Vehicle Recognition SDK is a computer vision-based recognition system designed to detect, classify, and verify vehicles in real-time. It supports 1-to-1 vehicle matching, allowing applications to verify a scanned vehicle against a stored template.
This SDK is ideal for access control systems, smart parking, toll management, and automated vehicle tracking where limited vehicle template storage (up to 10 records) is sufficient.
Extracts and verifies vehicle license plates for identification.
Recognizes vehicle make, model, and color for added verification.
Works with CCTV, IP cameras, and security cameras for real-time tracking.
Ensures high-accuracy detection under various lighting and weather conditions.
Upgrade for 1-to-all matching, unlimited vehicle database storage, image-based detection, and enhanced AI-powered analytics.
Identifies vehicle type, including:
Vehicle Category: Private, Commercial, Electric
Vehicle Type: Two-wheeler, Four-wheeler, Heavy vehicle
Supports up to 10 vehicle templates for authentication.
Smart Parking & Automated Toll Booths – Verify and track vehicles in gated parking and toll systems.
Fleet & Logistics Management – Monitor commercial vehicles, track movements, and enhance security.
Traffic Enforcement & Law Enforcement – Identify stolen or unauthorized vehicles via real-time LPR.
Automated Access Control – Ensure only authorized vehicles enter restricted areas.
EV-Specific Management – Separate electric vehicles for dedicated charging zones and benefits tracking.
Feature | Trial Vehicle SDK | MX Vehicle SDK |
---|---|---|
Software Distribution | Trialware | Commercial |
Vehicle verification (1-to-1 matching) | ||
Vehicle identification (1-to-all matching) | ||
License Plate Recognition (LPR) | ||
Vehicle make, model, and color recognition | ||
Vehicle category detection (Private, Commercial, Electric) | ||
Vehicle type classification (2-wheeler, 4-wheeler, Heavy vehicle) | ||
Vehicle image file input | ||
Maximum stored vehicle templates | 10 | Slab base |
Supported Platforms | Windows, Android | Windows, Android |