
NXCP-PMS100LE
LPR Engine
Nexuni’s license plate recognition (LPR) module is smaller than a smartphone and features a low-power design with no installation constraints.
Current Industry Challenges
- Conventional PC-based systems are bulky and take up significant space.
- Hardware costs are high and often unaffordable.
- Proprietary system architectures limit flexibility and scalability.
Our Solution
Nexuni’s LPR system delivers:
- Ultra-compact, battery-operable, local AI-based license plate recognition (smaller than a smartphone with no installation limits)
- Cost-effective solution using TinyML, model pruning, neural architecture search, and quantization to minimize deployment costs
- Open architecture with customizable API interfaces for integration with parking hardware and software, fully compatible with existing systems

Nexuni’s Miniature AI Model Enables Truly Deployable LPR
Nexuni has optimized its AI license plate recognition technology using TinyML methods such as pruning and quantization, successfully deploying it on ultra-compact edge devices. Even without internet connectivity, the system delivers high-speed and high-accuracy local LPR, greatly reducing reliance on cloud or network infrastructure—bringing smart parking to everyday applications.

High-Performance LPR:25 Plates Recognized per Second
By combining NVIDIA’s hardware-accelerated image processing with the high-performance TensorRT inference framework, our system can accurately recognize up to 25 license plates per second. This meets the demands of high-traffic environments and delivers unprecedented speed and stability to parking management.
Specifications

| Model | NXCP-PMS100LE |
|---|---|
| Dimensions (L × W × H) | 91.5 mm × 64.5 mm × 32.5 mm |
| License Plate Recognition Accuracy | > 99.5% |
| License Plate Recognition Time | ~ 100 ms |
| Recognizable Plate Types | MotorcycleMotorbikeCarBusTruckTaxiSpecial Vehicle |
| API Protocol | HTTPS |
| API Type | RESTful API |
| Data Format | JSON |
See how it runs on your site.
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