information community file
UFIDA
UFIDA is a provider of enterprise and public organization software, cloud services and financial services. It has developed rapidly in many fields, such as digital marketing and customer service, social networking and collaborative office, and intelligent finance/human resource sharing services. At present, it serves more than 3 million enterprises.
Use product
Support and communication
Face recognition creates mobile APP attendance solution
Value achievements
Through the integration of Baidu face recognition AI technology and YouSpace mobile check-in function, it ensures the accuracy of identification of enterprise attendance check-in personnel, quickly authenticates within one second, effectively prevents punch in, improves the security level, and becomes the best choice in the era of enterprise mobile collaborative office.
Case Story
Core demands
1. The previous card swiping and fingerprint card punching methods can easily cheat on behalf of the card;
2. The hardware face recognition attendance machine has high equipment and maintenance costs, and poor usability;
3. With the popularity of mobile office, the use of mobile app to check in and clock in has become a mainstream way of clock in;
In this case, how to combine mobile attendance and identification to meet management requirements? With the help of Baidu face recognition AI, we integrated face recognition technology into our app, which solved this problem well.
Solution
After the integration of Baidu face recognition technology into Space Mobile check-in, enterprise administrators can choose whether to enable face recognition as needed. If it is enabled, employees will be prompted and guided to register their face ID when they enter the clock in for the first time. After the registration is completed, they will enter the face recognition phase. After the authentication is passed, they can successfully punch in, otherwise they cannot punch in. It also provides a live detection mechanism to effectively eliminate the concern of managers about using photos and videos to cheat on behalf of the clock.
Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique