License Plate Recognition

License Plate Recognition

ICE Tech is one of China’s leading providers of video analytics and AI solutions. The company's overseas license plate recognition algorithm solution is entirely based on Intel Architecture. "Overseas license plate project" is an innovative industry practice in which smart cores have been deployed in the globalization of smart parking in recent years. The biggest highlight is it is based on the framework of self-developed license plate algorithm, which can quickly iterate under a small number of (>1K) license plate samples. The development of the new national license plate can be achieved with a delivery cycle of 2-4 weeks, and the comprehensive accuracy rate can be as high as 90-95%. Please Note - Intel is committed to respecting human rights and avoiding complicity in human rights abuses. Intel’s products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.

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SOLUTION FEATURES

  • Support license plate recognition in 23 countries
    ICE TECH uses different license plate positioning and character segmentation algorithms for different license plate types to ensure the accuracy of recognition.
  • Flexible model-matching strategy and modular design
    The algorithm framework adopts flexible model matching strategy and modular design, which results in the development and implementation of new national license plate with a small sample.

CATEGORIES

BrazilChina (PRC)IndiaKoreaOther - Asia PacificOther - Europe and AfricaOther - North and South AmericaTaiwanTransportation and WarehousingImage/Object Detection/Recognition/ClassificationSmart CityOn-premise (Private Cloud, Other)Intel® Xeon® Scalable ProcessorIntel® Distribution of OpenVINO™ Toolkit powered by oneAPIIntel® Distribution for Python*Models cant be re-trained - Inference onlyLinux MobileNetSSD-VGG16Deep Learning