Product OCR Text Recogniton VIN Recognition

Function Introduction

VIN  Recognition
Full Scene Recognition

Support the VIN code recognition on the front windshield glass, driving license, engine nameplate, motor vehicle registration certificate, and other different positions or certificates

VIN  Recognition
Full Car Series Recognition

Support VIN code recognition of domestic cars, imported cars, European standard cars, etc

VIN  Recognition
Multiple Recognition Methods

Support multiple recognition modes, including photo-taking, video stream and image input

VIN  Recognition
Various Forms Of VIN Codes

Supports multiple styles of VIN code recognition such as black characters on a white background, white characters on a black background, alien characters, metal nameplates, etc

VIN Recognition
Robustness

Recognizes VIN codes in complex situations such as steel stamps, backlighting, blurring, etc.

VIN  Recognition
Support Multi-Platform

Support both integrated use at mobile terminals and privatized deployment at Windows and Linux servers

VIN Recognition
Automatically Collect Data

Support mobile terminal offline recognition, the mobile front end scans the VIN code, the background automatically parse to obtain VIN code car series, model, car model, and other vehicle data

VIN Recognition
Return The Structure Result

Return JSON, XML recognition results

Product Superiority

VIN  Recognition
Full Vehicle Types, Complete Analytical Data
The VIN code database contains more than 3,000 models and analyzes nearly 30 car parameters
VIN  Recognition
Fast Recognition Speed
The recognition time is less than 0.5S
VIN  Recognition
High Recognition Accuracy
Independent training with a large amount of true samples was conducted to enhance the feature extraction accuracy of the model. The recognition accuracy is as high as 99%
VIN  Recognition
Multi-Angle Recognition
Support the recognition by multiple angle 90°, 180°, 270°

Application Scenarios

  • Used Car Transaction
  • Auto Parts Supply Chain Collaboration
  • Car Insurance
Used Car Transaction

Before trading a second-hand car, it is necessary to understand the various parameters and historical conditions of the vehicle in detail, which is an important basis for the valuation of second-hand cars. The frame number (VIN code) is the unique identification of the vehicle. During the transaction process, car dealers and used car platforms will frequently check the vehicle condition. Wintone VIN code identification provides a convenient information collection portal for second-hand vehicle valuation, improves valuation efficiency and facilitates transactions.

Auto Parts Supply Chain Collaboration

After the car is sold, consumers need a series of auto repair and auto parts services during using the car. The accessory data information of each model is not transparent, and the industry information is scattered. An accessory has a different name and a different cataloging system in different supplier systems. Similarly, even the model names are not uniform. Through the mobile phone VIN code scanning and recognition technology, the VIN code is recognized in 1 second, and the vehicle information is parsed. According to the analysis results, the auto parts service provider data is matched automatically so as to improve efficiency and reduc the operating costs of maintenance plants and auto parts suppliers.

Car Insurance

In the business system of auto insurance claims, the accident vehicle information can be quickly entered through VIN code identification, which improves the office efficiency of business personnel and the transparency of claims settlement.

Case

License plate recognition camera applied to smart logistics park platform
Credential recognition improves telecom authentication efficiency
Wintone OCR empowers enterprise dealer system digitization

Online experience

VIN Recognition 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.

图片显示处
VIN Recognition
  • VIN Recognition
  • Result
  • JSON Data