This AI-powered ANPR/LPR management suite provides a complete, software-driven approach to complex parking operations. The system features a high-definition camera terminal equipped with optical character recognition (OCR) that achieves high identification accuracy under various lighting conditions. The management software offers centralized control over multiple entry lanes, providing real-time data on vehicle entry/exit times, parking duration, and facility occupancy. Designed for enterprise-level applications, the software supports multi-language interfaces, automated voice-prompt guidance, and integrated revenue management. The system is highly modular, allowing for seamless integration with existing boom barrier hardware and payment kiosks. By automating the entry process and providing deep analytical insights into parking utilization, this solution empowers managers to maximize parking ROI and elevate security standards.
AI-Powered ANPR LPR Parking Management Software with HD C… — ANPR/LPR licence plate recognition system by Baroxon® for ticketless car parks.
AI-Powered ANPR LPR Parking Management Software with HD Capture Camera Integration is a ANPR/LPR licence plate recognition system manufactured by Baroxon® in its own factory and aimed at ticketless car parks and plate-based access control. It is the right choice when the project needs to open the barrier automatically on plate recognition, with no ticket or remote. In standard configuration it offers Protection rating IP66 / IP67 for outdoor installation. Baroxon supplies it with a 12-month warranty, ISO 9001 / ISO 14001 / ISO 45001 certified production, OEM/ODM options and worldwide shipping. Typical lead time is 3–7 working days for stock and 15–30 days made to order. It integrates with ANPR/LPR, RFID, ticket and remote-control systems through relay or open protocol, and is supported in English and Spanish for technical selection and after-sales service.
The values below describe the standard configuration. Dimensions, voltage and control options can be adapted for OEM/ODM projects.
| Recognition accuracy | ≥ 98% under normal lighting |
|---|---|
| Recognition speed | ≤ 0.3 s per plate |
| Camera | CMOS sensor with integrated IR illumination |
| Protection rating | IP66 / IP67 for outdoor installation |
| Integration | API/SDK, relay output, Wiegand and TCP/IP |
| Storage | Local and server logging of up to 100,000 events |
Test conditions: ANPR camera mounted at 4 m height with a 25° tilt, 3.5 m lane, real traffic of 1,200 vehicles between 08:00 and 20:00 with daylight, partial shadow and light rain.
Measured values: 98.7% plate reading accuracy; average recognition time 0.22 s; false positives below 0.4%; stable operation down to 0.5 lux illumination.
Benchmark: Mid-range ANPR systems on the market declare 92–96% accuracy and 0.5–1.0 s per plate. The tested system beats that reference by 2.7 percentage points and more than halves the recognition time.
| Test item | Measured value | Market benchmark |
|---|---|---|
| Recognition accuracy | ≥ 98% under normal lighting | 92–96% |
| Recognition speed | ≤ 0.3 s per plate | 0.5–1.0 s |
| Camera | CMOS sensor with integrated IR illumination | Market average |
| Protection rating | IP66 / IP67 for outdoor installation | IP44–IP54 |
| Integration | API/SDK, relay output, Wiegand and TCP/IP | Relay output only |
| Storage | Local and server logging of up to 100,000 events | 10,000–30,000 events |
Factory bench data, measured on a standard production unit. Values are indicative and may vary with configuration, installation and environmental conditions.
A camera with optical license plate recognition that identifies the vehicle and opens the barrier automatically, with no ticket needed.
Under normal lighting and with the camera properly installed, accuracy exceeds 98%. A dedicated camera and initial calibration are recommended.
Yes, through API/SDK or relay output; it supports whitelists and blacklists, automatic charging and occupancy control.
Yes. The cameras include IR illumination and IP66/IP67 protection for outdoor installation.
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