Domestic companies that do better face recognition include SenseTime Technology, Beijing Megvii Technology, Shanghai Yitu Network Technology, Alibaba, and Tencent.

Related introduction:

1. SenseTime:

The products introduced by SenseTime include face recognition, image recognition, text recognition, and image and video analysis. , image and video editing, intelligent monitoring, autonomous driving, remote sensing, medical image recognition and other types of intelligent visual technologies.

2. Beijing Megvii Technology:

Megvii’s core technology is 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:

In July 2017, Yitu Technology participated in the Global Face Recognition Test (FRVT) sponsored by the National Institute of Standards and Technology (NIST) Winning the first place in the competition, the recognition accuracy reached 95.5% with one false alarm per 10 million, which was the best level in this indicator in the global industry at that time.

4. Alibaba:

Alibaba Cloud, a subsidiary of Alibaba, is based on mature face core technology. ET’s face recognition has covered face detection, organ contour positioning, portrait beautification, Gender and age recognition, 1-to-1 face authentication and 1-to-multiple face recognition and other directions, combined with Alibaba Cloud's massive storage data, adopt industry-leading machine learning methods.

5. Tencent:

Tencent Youtu, a subsidiary of Tencent, was founded in 2012 and follows the company’s philosophy of “all based on user value” and “only when research results are implemented can value be generated.” It has dozens of leading technologies in the three fields of face recognition, image recognition, and voice recognition, and has hundreds of billions of multimedia big data computing capabilities.