The ZT5 smart license plate recognition camera is an integrated imaging device designed specifically for parking entrance and exit management worldwide. This advanced system meets diverse application needs including traffic management, security, parking control, toll collection, and intelligent transportation systems (ITS).

Equipped with advanced 5MP imaging solution featuring city-level starlight technology for excellent performance in night, front light, and backlight conditions. The VZ intelligent ISP algorithm provides clear details for license plates and vehicle logos.

Incorporates deep learning technology with billions of real-world samples, creating a robust framework for license plate and vehicle recognition. Solves rigid scene requirements through hardware optimization.

• Identifies 7 vehicle types (sedans, SUVs, trucks, etc.) and over 2,100 models
• Detects vehicle logos, colors, and other structured information
• Prevents misidentification and filters fake license plates with ≥95% accuracy
• Supports vehicle event detection (detention, return, following)

• One-click binding of up to 3 auxiliary devices
• Simple docking - only main device requires configuration
• Comprehensive development support including SDK, API protocols, and OpenSDK

1. License Plate Capture: Specialized cameras capture plate images using infrared illumination for 24/7 operation
2. OCR Processing: Algorithms extract alphanumeric characters from images
3. Database Comparison: System checks against authorized vehicle database
4. Access Control: Barriers open automatically for authorized vehicles
5. Payment & Analytics: Integrated fee calculation and data collection for parking management

• Increased Efficiency: Eliminates manual ticketing for smoother traffic flow
• Enhanced Security: Accurate vehicle identification deters unauthorized access
• Real-time Monitoring: Immediate detection of security breaches
• Revenue Management: Automated fee collection reduces fraud
• Data Analysis: Generates usage reports for informed decision making