Green Deep Pupil independently developed a "cross-age same relative face matching algorithm" to help Jiangxi police find the solution to Qingshuai.
The company's product manager, Ms. Zhang, said that when Qingshai was abducted, he did not leave a photo, and used his parents and siblings' photos to fish out the suspects, and then integrated the cross-age face matching algorithms to sort, and Qingshai was ranked first.
Mrs. Zhang said Xie Qingshuai is the fourth child that the algorithm has assisted in finding out publicly. Looking for lost children is looking for people inside the "ceiling" (difficulty), in this year saw the potential of the algorithm. Currently the company has developed this algorithm software, still need to accumulate more cases to optimize.
December 1, 2023, Hebei Xingtai Xie Kefeng recovered 25 years ago lost son Xie Qingshuai, the news reported, triggered the majority of netizens continued to pay attention. On that day, Xie Kefeng family in the return car dialed Jiangxi Provincial Public Security Bureau of the Criminal Police General Police video phone, the Jiangxi police vigorously help to express my heartfelt thanks.
Company Profile
Gring Deep Pupil, founded in 2013 by founder Zhao Yong in Beijing, is an artificial intelligence company. The company focuses on the deep integration of computer vision technology and big data analysis technology with application scenarios, providing AI products and solutions for city management, smart finance, commercial retail, sports and health, rail transportation operation and maintenance, meta-universe and other fields.
On March 17, 2022, GLP officially listed on the Science and Technology Board of the Shanghai Stock Exchange. Stock code: 688207.
Geering Deep Pupil has formed five major technology directions, including deep learning-based model training and data production technology, 3D stereo vision technology, automated traffic scene perception and event recognition technology, large-scale cross-mirror tracking technology, and robot sensing and control technology, and has mastered cross-platform model training technology, massive data production technology, multi-objective sensor calibration and depth estimation technology, and motion gesture analysis technology. We have mastered a number of core technologies such as cross-platform model training technology, mass data production technology, multi-dimensional sensor calibration and depth estimation technology, motion attitude analysis technology, face recognition algorithms and engine technology.
Refer to Baidu Encyclopedia-Beijing GLP Deep Pupil Information Technology Co.