In 2017, Apple introduced the iPhone X, marking a significant milestone in the adoption of facial recognition technology. As this technology advanced, numerous companies began to emerge, focusing on various aspects of biometric identification. Among them, a standout company has gained considerable attention. By leveraging cutting-edge techniques such as facial recognition, object detection, and vehicle identification, they have developed tailored solutions that meet growing market demands.
The term "facial recognition" quickly became a buzzword in the tech industry. Baidu's index for the term surged from 1058 at the start of the year to a peak of 2910. While the release of the iPhone X played a role in this trend, the real driving force was the maturing of the technology itself. As it expanded into different industries, more companies dedicated to research and development started to rise.
Last week, Shenzhen Shenmu, a leading AI and big data company specializing in facial, object, and vehicle recognition technologies, announced the completion of its A-round financing, securing millions of dollars from Shenzhen Venture Capital. The funds will be used for further R&D, market expansion, and brand building. Wilderness Joint Venture served as the exclusive financial advisor for the transaction.
What makes this company stand out? Its technical team consists of experts from both China and abroad, with a strong focus on computer vision algorithm research. The founder, Liu Jingfeng, is an entrepreneur who returned from Silicon Valley. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University and is a member of SigmaXi, an honor society for scientists. In 2014, he was selected as one of the country’s top “Thousand Talents Program†experts.
Liu founded Liansi Purui Electronic Technology in Wuhan in 2010, where his team successfully developed a smart grid power carrier communication system. During this project, they began exploring facial and object recognition, eventually leading to the creation of DeepCam, a company focused on computer vision and AI. They also established a Biometrics Research Laboratory with Carnegie Mellon University and became founding members of the National Natural Science Foundation’s Big Learning Center.
According to Heli Investment, an angel investor in the company, Liu possesses not only deep academic expertise but also a comprehensive understanding of global industry structures. This vision has been a key factor in attracting investment.
Since its inception, Shenmu has concentrated on developing algorithms in the field of computer vision. Their face feature extraction, gesture recognition, and OCR technologies are among the best in the industry. They have pioneered innovations such as occluded face restoration, large-pose face recognition, and built a 1.5 million 3D depth camera face database. Their model training efficiency is 400 times faster than similar products, with exceptional generalization capabilities.
Shenmu has made significant progress this year, exporting efficient technical solutions across multiple industries. Their work in smart city projects includes dynamic facial recognition systems for public safety, offering features like character control, tracking, and face matching. These systems enhance security and reduce police costs by utilizing existing cameras without requiring adjustments.
In the retail sector, Shenmu has applied their AI technologies to new retail environments. For example, they have deployed smart cameras in convenience stores and banks in the U.S., helping detect suspicious activity and collect consumer data. In China, they have also implemented systems that analyze foot traffic, gender, age, and VIP identification, providing valuable insights for business planning.
Looking ahead, Shenmu plans to expand its research and development efforts, aiming to deliver even more high-quality solutions across various industries. With continued innovation and market focus, the company is well-positioned to lead in the evolving landscape of facial recognition technology.
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