In 2017, "face recognition" technology truly took center stage. Overnight, it became one of the most talked-about topics in the tech industry. The Baidu index for the term soared from 1,058 at the start of the year to as high as 2,910. While the release of PhoneX played a role in this surge, the real driving force was the growing maturity of the technology itself. As its applications expanded beyond traditional boundaries, more companies began investing in related research and development.
Last week, Shenzhen Shenmu, an artificial intelligence and big data company specializing in face recognition, object recognition, and vehicle identification, announced the completion of a multi-million-dollar Series A funding round led by China Venture Capital. According to the company’s spokesperson, the funds will be used to further develop projects, expand market reach, and strengthen brand awareness. God's exclusive financial advisor in the transaction was the joint venture.
But what makes Shenmu stand out? Why has it attracted attention from top-tier venture capital?
Shenmu is led by a joint team of domestic and international experts focusing on computer vision algorithms. Its founder, Liu Jingfeng, is an entrepreneur who returned from Silicon Valley after earning his Ph.D. in Electronics and Computer Engineering from Carnegie Mellon University. He is also a member of the prestigious SigmaXi scientific honor society and was selected for the country's "Thousand Talents Plan" in 2014.
Liu founded Shenmu's predecessor in Wuhan in 2010, where the team developed a smart grid power carrier communication chip that was quickly industrialized. During these projects, they gradually explored face and object recognition technologies, leading them to establish DeepCam, a smart big data company focused on facial recognition. In 2016, he brought together AI researchers from top universities in the U.S. and China to form a dedicated computer vision team. They also established a biometric research lab with Carnegie Mellon University and became founding members of the NSF's BigLearningCenter.
According to HeLi Investment, a UBS-backed angel investment firm, Liu Jingfeng's deep academic background and global industry insights made him a compelling investment opportunity.
Shenmu has been focusing on computer vision algorithms since its inception and has achieved industry-leading performance in areas like face feature extraction, posture recognition, object detection, image classification, and OCR. The company pioneered advanced techniques such as facial restoration, blurred face enhancement, and large-gesture face recognition. It has built a 1.5 million 3D depth camera face database, with model training efficiency 400 times faster than similar products. Its generalization ability far exceeds industry standards.
Because of its strong algorithmic focus, Shenmu experienced rapid growth this year, delivering efficient technical solutions across various industries and gaining widespread investor confidence.
Shenmu's Smart City Solutions are now being deployed in public safety systems nationwide. The company has developed a dynamic face recognition system based on deep learning, capable of recognizing faces in low-resolution, large-scene environments, and even generating 3D face models from 2D images. This technology allows for accurate recognition even when the head is tilted up to 60 degrees or turned sideways by 30 degrees. It can also identify faces with as little as 20% exposure, using eye details to restore features for matching.
These solutions have been integrated into existing surveillance systems, improving security linkage and reducing police workload. The system can process historical video data, helping law enforcement detect incidents more efficiently and support the goals of "smart security" and "intelligent policing."
Beyond public safety, Shenmu has expanded into new retail, tourism, healthcare, and mobile applications. It has developed face unlocking and intelligent album sorting for smartphones, with over 600,000 units shipped for second- and third-tier brands.
In the U.S., Shenmu has secured contracts for 15,000 convenience stores, supermarkets, and bank branches, providing internal security and customer analytics. The company has built a database of over 190,000 "typical theft" cases, enabling early warnings for suspicious individuals and saving stores $3–$5k annually.
In China, Shenmu has helped large shopping centers track customer traffic, gender, age, and VIP identification, offering valuable data for planning and evaluation.
Looking ahead, Shenmu plans to continue developing cutting-edge technologies, focusing on real-world applications and delivering more efficient, scalable solutions. With the influx of new capital, the company aims to bring together top technical teams globally to drive innovation and meet growing market demands.
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