Gender recognition can be performed during face recognition. Gender recognition uses computer vision to identify and analyze the gender attributes of faces in images. For many years, face gender classification has attracted much attention due to its potential applications in human identity authentication, human-machine interfaces, video retrieval, and robot vision.
The collected user images are compared with faces in the background and 3D structured light live detection is completed. The overall face recognition process achieves a second-level response, which is convenient and quick to use. The defense index is high, and it can intercept photos, masks, videos and other attack methods. Equipped with 3D structured light living body detection technology, it can quickly verify whether it is a real person. Face-swiping payment, smart medical care, smart campus, smart bank, catering, supermarket, hotel, non-sense parking lot, various scene solutions, software customization development, payment equipment wholesale, please Baidu "Zhangyou Electronic Wei" for details
Face-swiping payment has become more and more popular. Have you ever noticed that face-swiping payment is slowly appearing in our daily lives like the previous scan code payment. Go to fruit shops to buy fruits, go to restaurants to eat, and go Shopping in supermarkets, going to the subway, etc. can now pay by face payment, which shows that the start of face payment has come. In addition, Alipay and WeChat Pay have launched huge subsidies to promote the popularization of facial payment, and the support is very strong. Therefore, facial payment has become a popular investment project for a while.
Regarding the current development trend of mobile payment, the continuous innovation of technology and mobile payment technology has driven the transformation and upgrading of service models, prompting traditional industries to usher in an opportunity for digital transformation. From the perspective of consumption, compared with other electronic payment methods, the combination of facial payment and consumption scenarios is closer. Through the establishment of online and offline multi-directional marketing channels, the integrated development of omni-channels will be transformed into the mainstream mode of enterprises, and the boundaries of enterprises to reach users are broadened.
With the advent of the era of brushing faces, technological innovations have promoted educational reforms. Campus safety has always been a hot spot of social concern, including consumer safety, dormitory safety, and so on. At the beginning of this year, a middle school installed a face recognition attendance system at the entrance of the campus. The students entered and exited the campus by swiping their faces, and the campus card became a face-to-face communication.
The operating model has also gradually moved from a purely online or purely offline model to a combined online and offline model, which is also the IOT model, to create a smart campus of the Internet of Things. By brushing the face, the campus consumption payment and identity recognition are realized, which greatly improves the convenience and security of the campus. Face recognition products have been widely used in enterprise and residential security and management.