- Vehicle License Recognition
- Vehicle Register Certificate
- License Plate
- VIN
- Vehicle Sales Invoice
- Used Vehicle Sales Invoice
- HK & MO LPR Camera
Function Introduction
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Full-Range Recognition
Recognize a full range of vehicle license plates, including blue plates, yellow plates, plates of trailers and agricultural vehicles, plates of Hong Kong and Macao entry and exit vehicles, Macau and Taiwan plates, civil aviation plates, plates of new energy vehicles, etc.
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Multiple Recognition Methods
Support multiple recognition modes, including photo-taking, video stream and image input
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Support Multi-process Recognition
Deploy vehicle license plate recognition service at one server and allow other servers in the LAN to access the server by obtaining authorization to use the recognition function, meanwhile, process a huge amount of data
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Full Scene Recognition
Support full scene recognition during day, night, strong sunlight, underground garage, etc.
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Support Multi-Platform
Support both integrated use at mobile terminals and privatized deployment at Windows and Linux servers
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Flexible Deployment
Able to invoke routines with C#, JAVA and other development languages; support multiple authorization methods, including SDK development, central network encryption authorization, DSP embedded authorization, etc
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Output Structural Data
Return JSON, XML recognition results
Product Superiority
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Intelligent And Accurate
- Self-developed OCR recognition engine, automatically locate the license plate in the image, can recognize multiple license plates and output the result at the same time
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Large Angle Recognition
- Not strict with license plate width, 60-400 pixel width can be recognized
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Long-Distance Indentation Recognition
- The farthest recognition distance can reach 10 meters
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Fast Recognition Speed And High Recognition Accuracy
- The recognition time is less than 0.5S, and the recognition accuracy rate is as high as 99.9%
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Multi-Industry Applications
- Applied to multiple industries such as intelligent transportation systems, entrance and exit administration systems, mobile police systems, and mobile police service, etc
Application Scenarios
- Police Industry
- Parking Management System
- Transportation Industry
- Mobile Pick-Up Service For 4S And Repair Shops
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Police Industry
Our OCR technology can be applied in police mobile terminals, and police officers can collect license plate images anytime and anywhere when conducting mobile surveys with automatical license plates recognization and vehicle information obtaining. Police officers upload vehicle information to the police system server to register suspected vehicles, deal with traffic violations, etc., to achieve "smart law enforcement".
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Parking Management System
In the process of parking management, violations such as parking by occupying roads occur from time to time,so installing license plate recognition integrated machines on multiple roads wastes costs. If users use hand-held license plate recognition,they can collect parking fees intelligently and deal with parking by occupying roads.
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Transportation Industry
Our OCR technology can integrate into the bayonet monitoring system and highway entrance and exit management system. The front-end equipment takes photos or videos of the license plate and recognizes it in the background. It records the license plate information into the back-end system automatically, which can realize intelligent high-speed fee collection and deal with breaking the traffic laws, speeding and other violations.
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Mobile Pick-Up Service For 4S And Repair Shops
Users can integrate the license plate recognition into the CRM system of the 4S shop mobile version, the service consultant scans and recognizes the license plate of the incoming car through the mobile phone camera, which recognizes the vehicle information automatically, and retrieves the owner information such as last maintenance time, insurance expiration time, etc. from the CRM system.Stores provide caring services to get close touch in car owners, which not only wins praise from customers, but also creates more sustainable income for the company.
Case
Online experience
License Plate Distinguish
The recommended: size of the image is about 200KB, and the bit depth is more than 24Recommended resolution of scanned image: 300dpi, less than 3m.
- License plate recognition
- Result
- JSON Data