Trial Vehicle Recognition SDK

Overview

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.

Features and Capabilities

License Plate Recognition (LPR)

Extracts and verifies vehicle license plates for identification.

Vehicle Feature Analysis

Recognizes vehicle make, model, and color for added verification.

Live Vehicle Capture

Works with CCTV, IP cameras, and security cameras for real-time tracking.

Quality Control Mechanism

Ensures high-accuracy detection under various lighting and weather conditions.

Scalability with MX Vehicle SDK

Upgrade for 1-to-all matching, unlimited vehicle database storage, image-based detection, and enhanced AI-powered analytics.

Vehicle Detection & Classification

Identifies vehicle type, including:

Vehicle Category: Private, Commercial, Electric

Vehicle Type: Two-wheeler, Four-wheeler, Heavy vehicle

Storage Limitation

Supports up to 10 vehicle templates for authentication.

Use Cases

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.

Comparison Table: Trial vs. MX Vehicle SDK

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

For more details or to download the Trial Vehicle Recognition SDK.

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