CloudWalk Technology is a company originating from the Chinese Academy of Sciences. It has been working on technology accumulation for more than 10 years. The founder’s, Dr. Xi Zhou, doctoral advisor is Professor Taotao Huang, who was considered the godfather of American computer vision. In addition, it has also been supported by Chinese governors at all levels. It participated in writing Chinese national and industry standards and undertook the development tasks of three major national artificial intelligence platforms: the National Development and Reform Commission artificial intelligence resources public service platform, the high-accuracy face-recognition system industrialization application platform, as well as the core SoC chip application platform of the Ministry of Industry and Information Technology. In addition, it has established five major R&D centers in China.
Currently, it focuses on four industries: banking, security, airports, and retail. Its vision is to become a national platform. By leveraging capabilities and resources, it uses AI to define equipment and scenarios for various industry solutions, then truly enabling smart life.
There was a news story recently. In Ningbo, a “pedestrian” was detected for crossing at a red light. But the truth is that the “pedestrian” was just an advertisment on a bus showing Mingzhu Dong’s face, a famous entrepreneur in China. This incident tells us that AI technology has many problems when it’s applied in the real world. We can’t just use AI because we want to use AI. Hao Wen discusses how AI should be a closed loop with perception, cognition, and decision, then your technology is advanced enough to form a set of valuable solutions.
CloudWalk is building a closed-loop technology with the ability to perceive, recognize, and make decisions. Artificial intelligence is the “leading geese.” AI solves the problem itself. How to improve the ability, how to solve the problem, and how to let it lead the development of technology are the main problems we need to think about now. At present, when talking about technology to applications, besides speech recognition, face recognition is the most widely used technology. And many face-recognition technologies have become the visual portal for human-computer interaction. In fact, in the visual recognition domain, in addition to face recognition, there is recognition of people by body pose and clothing, which now is also widely adopted. Recognition via the human face plus human body pose is a relatively better solution. Experimentation at the Chinese Academy of Sciences analyzed various aspects and light sources for the human face and then formed a set of structured data. Now the success rate of human body recognition is better than 96.6%, which is the standard for commercial use of this technology. For example, if a girl was running in a park and her face wasn’t caught by a camera, we can identify her through body features. This is a cross-camera and no-face-needed recognition application, so it’s called “cross-camera tracking” technology.
It is widly recognized that the next generation of human-computer interaction is “face + body + voice + AI,” such as VR interaction. Besides visual recognition, CloudWalk also conducted speech recognition research with the Joint Lab and the Chinese Academy of Sciences, whose error rate was very low. At the same time, many models in decision making have been built, such as the two-tower neural network.
In terms of five senses, CloudWalk has built a unified big data model through perceptual technology, which lets robots learn portraits, get strategic recommendations, and then implement and provide feedback. For example, the “Mingzhu Dong” red light crossing incident is due to a less perfect perception system. If the system knows that Mingzhu Dong is unlikely to appear in Ningbo, it can completely avoid this error. Of course, this is an extreme example.
We also developed industry products and solutions, implementing more than 50 use cases in the banking industry. For example, using perception technology, we built biometrical recognition, such as cash withdrawal in ATMs with face recognition. But this is a relatively simple application. In addition, banks are also very interested in forecasting the reserve fund. For example, a CCB branch needs to predict the reserve for more than 1,000 ATMs. If the forecasting can reduce RMB 1 billion reserve in one month, it will save millions of RMB in terms of interest. This is a good example of the closed loop of decision making from perception to decision.
In terms of offline stores in the retail industry—for questions like how many people entered a store, how many times they entered, what products they looked at—we have a set of customer conversion rate tools for identification and decision making. For example, stores are equipped with face-catch cameras, which can tell whether a caught face belongs to a VIP, a member, or a regular customer. And then stores’ system can push advertisements based on the customer’s age and gender. And on the shelf, sensor technology can catch a portrait and send it to a clerk’s terminal. He or she makes relevant recommendations for the customer. In the final payment step, showing a face would directly make the payment.
This is what AI technology now can do for offline stores, rather than building an unmanned supermarket, which does nothing for business improvement. Finally, CloudWalk believes that the AI-to-application process would from the very beginning start from academic research, showing the advancement of technology, to industry verification step by step, then to actual industry application, and finally to an industry platform and an intelligent ecology.
Hao Wen is a cofounder of CouldWalk Technology. In 2003, he received a bachelor’s degree in electronic science and technology from China University of Science and Technology and was recommended for admission of a straight doctor study at the China University of Science and Technology’s Key Laboratory of Quantum Information. His doctoral advisor is Guangcan Guo, the “Quantum Control” 973 chief scientist, and his research interests is quantum communication devices and network. In 2008, he received a PhD in communication and information systems from China University of Science and Technology. In 2014, he joined the Chongqing Institute of Green Intelligent Technology of the Chinese Academy of Sciences. In 2015, he and Dr. Xi Zhou together founded CloudWalk Technology.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2019, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org