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Tutorial No
Xi'an Guiding Education Technology Co., Ltd. is a high-tech enterprise specializing in the research and development of Internet education software products. The guidance number APP developed by the company adopts the "Internet+Teaching Aids" model to provide K12 users with accurate homework guidance; The original five step learning guidance method enables students to know why and why.
Use product
Support and communication
Guide number: Baidu OCR improves the success rate of photo search
Value achievements
After the use of "Universal Character Recognition", the effective character rate of picture character recognition has increased by about 40%, and the success rate of topic search has increased from 56% to 98%. Because the success rate of title search has increased, the user experience of the product has been greatly improved, and the frequency of users using this function has doubled.
Case Story
Core demands
Users search for topics by taking photos on their mobile phones, which is a completely natural scene. Due to the user's camera angle, ambient light, equipment configuration, book color bending and other factors, the quality of photos is uneven, and a highly adaptable text recognition service is needed to improve the recognition success rate.
Solution
The guided learning number APP provides users with the service of photographing and question searching. Users can customize camera shooting questions through the guided learning number, select the questions to be searched through cutting, and the server can identify the words in the pictures, and then search the search engine to return the questions with the highest matching degree and the analysis and guidance content of the questions. Baidu Universal Text Recognition is used in the image to text link. Users have great freedom and flexibility in taking photos. It is greatly affected by environmental light and user's mobile phone hardware configuration, and needs OCR products that can respond to natural scenes with good compatibility. Baidu Universal Text Recognition meets this demand well.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique