Live from TechCrunch – FaceOS is betting on face recognition for enterprise

FaceOS (人人智能), a Chinese face recognition system provider for enterprise customers, shared its vision of front-end intelligence at the side-stage event held at TechCrunch Shenzhen 2017.

Front-end intelligence is essential for large-scale application-oriented internet-of-things (IoT), enabling technology for a plethora of applications touching various aspects of our lives, such as health care, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems.

As traditional equipment will go through this funnel, developing varied front-end intelligence-smart products will be a popular trend. The issue is how to change and develop this traditional equipment and make creative products by using artificial intelligence.

Starting on top of its embedded, modularized and customized intelligent chips, FaceOS offer products for modularized intelligent chips and facial recognition solution.

“Normal face recognition can be cheated; it is easy to cheat to the machine with photos, and now imitating the human face is not strenuous,” Wang Haizeng, founder and CEO of Zhuhai FaceOS Technology Co. Ltd says.

The core competitiveness of FaceOS lies in its deep learning algorithm, front-end chip acceleration, product system engineering capability and industry application of artificial intelligence. FaceOS has been officially recognized by ARM and provides part of their algorithm for the U.K. company.

“Artificial intelligence is the future of two-way interaction. The core essence of front-end intelligence is that to let the people feel that it is around us, and it is true intelligence to help our daily lives,” Wang explains.

FaceOS has designed their sensor lights design to allow more effective face recognition and a natural interactive environment, and Mr. Wang believes that this will greatly help the public building’s security by stranger’s face recognition.

“95% of human activities is done inside a building. Using multipoint deployment of building space will achieve high-precision personnel control,” he adds.

Face recognition can improve public security

Wang Haizeng, founder and CEO of Zhuhai FaceOS Technology Co. Ltd (Image Credit: TechNode)
Wang Haizeng, founder and CEO of Zhuhai FaceOS Technology Co. Ltd (Image Credit: TechNode)

Completely autonomous, the face recognition and identification will start from the door to find out whether someone belongs there. The camera will be embedded in the venue itself so inhabitants aren’t even aware of their existence.

FaceOS’s management team hails from the senior executive ranks of leading telecommunication firms and top scientific research institutions; their core members have over 15 years of experience in R&D for mass-production, based on practical engineering.

With a goal to standardize the application of high precision and modularized artificial intelligence products, the company plans to expand its service to traffic. When a car passes through, the camera will check driver’s documents automatically.

“In China, there is both the need for serving the public, but also need for more regulation enforcement, and I believe face recognition is the best way to achieve these two. There are various areas that this technology can be applied to,” Wang says. “I hope that this will help change human’s lives, reduce the complexity of the process, rather than bring more problems. This should be the future development trend of artificial intelligence.”

For the development of the manufacturers, FaceOS set up a development partner program. By working with their partners, they are looking to put it into application and development.

“Artificial intelligence now requires more partners to collaborate and develop together,” Wang says. “Front-end intelligence can change the future, and the question is how to get there, and with whom we get there.”