Huawei partnered with AI specialist YITU to develop Intelligent Campus
Scalable security for enterprise complexes is the primary goal of the “Intelligent Campus” solution announced this week at Huawei Connect in Shanghai. The new product was co-developed by the Chinese technology giant and YITU, a firm that specializes in artificial intelligence algorithms and applications.
Intelligent Campus uses video-based facial recognition for use cases like controlling access to buildings and others sites, “proactive safeguarding,” and analysis of how different areas are used. The video-analytics system can be deployed in different configurations depending on the size of the implementation. AI servers can scale to meet the needs of a large enterprise campus or edge servers can support smaller campuses.
The facial recognition market is forecasted to grow to $9.6 billion at a 21.3% compound annual growth rate from 2016-2022, according to firm Allied Market Research. According to the market research outfit, the Asia Pacific region is a major driver of adoption accounting for more than 20% of total facial recognition market revenue “and is anticipated to be the fastest growing region over the forecast period,” Allied projected.
Huawei’s Qui Long, vice president of IT Product Line, said the security solution provides an “all-scenario AI infrastructure solution for the end, edge and cloud. We can work together [with YITU] to provide flexible and efficient intelligent campus solutions for enterprise customers.”
According to Huawei, the scalability of the solution makes it a contributor to larger smart city investments. In a recent discussion with Enterprise IoT Insights, Mike Zeto, AT&T’s vice president of IoT and general manager of smart cities, said using cameras as a sensor will be a major future smart city component. “The other 5G use case is going to be around video analytics–processing at the edge. Anytime you can use a camera as a sensor.” He called out surveillance, police body cameras, emergency awareness and other applications.