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All customer cases - Cloud Volunteer
Cloud Volunteer
Cloud Volunteer is a college entrance examination volunteer application launched by Hangzhou Bugu Technology. Based on big data mining technology, it helps candidates fill in college entrance examination volunteers scientifically and quickly
Use product
Support and communication
Baidu OCR helps to computerize the national Enrollment Plan
Value achievements
How to make the Enrollment Plan and Application Guide electronic in time is a great challenge for the application of college entrance examination volunteer application. Thanks to Baidu OCR's super fast recognition speed, super high accuracy, and Baidu NLP technology, the electronic book work that can only be completed by 20 people in 18 hours has been improved to only one person in 4 hours. Therefore, Cloud Volunteer has completed all the electronic work of the Enrollment Plan and Application Guide in 28 provinces in China in just two days, saving 89% of the time cost and 75% of the labor cost, and also bringing good experience to users.
Case Story
Core demands
Candidates and parents need to read the Enrollment Plan and the Application Guide to learn a lot of application information before filling in the college entrance examination. Moreover, the volunteer filling time is short and the pressure is high. The cloud volunteer platform urgently needs to computerize the provincial Enrollment Plan and Application Guide in a short time to provide users with volunteer filling guidance services. Therefore, cloud volunteer's core appeals to Baidu OCR technology are as follows:
1. The overall recognition rate of OCR technology needs to reach more than 95%;
2. OCR technology supports the recognition of form text;
3. It can return the position information of the text in the picture;
4. It can realize automatic line merging between text up and down.
Solution
According to the requirements of the first point above, the recognition rate of Baidu's form character recognition technology and universal character recognition technology has fully met the requirements of Cloud Volunteer.
According to the demand of the second point above: Cloud Volunteer has used Baidu form character recognition (synchronous version) technology and applied it to the form text in the Enrollment Plan and Application Guide in the website system. In addition to providing very accurate location information, this technology also makes it very easy for examinee users who fill in volunteers on the cloud volunteer website to enter forms.
According to the two requirements of 3 and 4 above, Cloud Volunteer has used Baidu's high-precision general character recognition (including location information) technology and applied it to the general text of Enrollment Plan and Application Guide in the website system. This technology will automatically typeset according to the position information of each word by parsing the returned results. And through the DNN language model of Baidu natural language processing technology, the automatic line combination between uplink and downlink is realized.
Finally, through Baidu AI's OCR technology and NLP technology, Cloud Volunteer quickly realized the computerization of the Enrollment Plan and Application Guide. Let examinees and parents more efficiently obtain application information in cloud volunteering.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique