Domestic face recognition to do a better job of the company has business soup science and technology, Beijing Kuangyi technology, Shanghai YiTu network technology, Ali, Tencent.
Related introduction:
1, the business soup science and technology:
Shangtang science and technology introduced by the face recognition, image recognition, text recognition, image video analysis, image and video editing, intelligent monitoring, automatic driving, remote sensing, medical image recognition and other types of intelligent vision technology.
2, Beijing Kuangxiang Technology:
Kuangxiang's core technology is the artificial intelligence algorithms related to computational vision and sensing technology, including, but not limited to, face recognition, human body recognition, gesture recognition, text recognition, document recognition, image recognition, object recognition, license plate recognition, video analysis, three-dimensional reconstruction, intelligent sensing and control and other technologies.
3, Shanghai YiTu network technology:
July 2017, YiTu technology in the United States by the National Institute of Standards and Technology (NIST) sponsored by the global face recognition test (FRVT) won the first, the results of one in ten million false alarms under the recognition accuracy rate of 95.5%, is the best level of the global industry at that time in the index.
4, Ali:
Ali cloud under Ali based on mature face core technology, ET face recognition has covered face detection, organ contour localization, portrait beautification, gender and age recognition, 1-to-1 face authentication and 1-to-multiple face recognition, and other directions, combined with Ali cloud's massive storage data, the use of the industry's leading machine learning methods.
5, Tencent:
Tencent's Tencent Youtu was founded in 2012, following the company's philosophy of "everything is based on the value of the user" and the principle of "only when the results of the research are on the ground can they produce value", in face recognition, It has dozens of leading technologies in the three major fields of face recognition, image recognition, and voice recognition, and is equipped with hundreds of billions of dollars of multimedia big data computing power.