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Hikvision Introduces Its AI Cloud Platform

Published: Nov 01,2017

Hikvision held an Artificial Intelligence forum in Shenzhen, China on October 28, where Hikvision introduced its AI Cloud, the next level of AI technology development, and its comprehensive implementation in a variety of vertical applications.

Hikvision AI Cloud was developed to solve real world challenges existing in different vertical markets, and to create continuous value to end users.

Artificial Intelligence is the most trending technology in the security industry. Hikvision has gained over a decade of experience in this field. The company has invested in video intelligence technology since 2006, when its first algorithm team was established. In 2013, the company started to implement Deep Learning technology, and in 2016, its full range Deep Learning products were introduced to the security industry.

Hikvision has taken this technology and innovated a family of products to maximise its use. The DeepinView IP camera range and the DeepinMind NVR range work together to provide all the power and benefits of Deep Learning. While the cameras provide the smart 'eyes' of the system, the NVR represents the analytic and storage capabilities of the brain. The products help to tackle security on two fronts – recognition, monitoring and counting of people and recognition and detection of vehicles. They use Deep Learning technology at its most effective - for its ability to classify and recognise thousands of 'features'.

Mr. Hu Yangzhong, CEO of Hikvision who addressed the forum, pointed out the irresistible trend of engineering AI algorithms into edge devices, and making the edge more intelligent. The Hikvision "AI Cloud" structure was then introduced, which enables AI algorithm from edge to cloud, distributing the overall pressure that the large amount of data places on the centre.

"Edge computing uses local computing to enable analytics at the source of the data. Powered by AI technology, it strengthens the sensing capability of front-end cameras, and helps us understand the captured scene more effectively and accurately. With AI algorithms woven into the edge devices, only selected information such as an individual or a vehicle in a video image will be extracted and sent which significantly enhances the transition efficiency and reduces the network bandwidth, while still sustaining high quality and accuracy. Edge computing will also accelerate more efficient business responses, creating immediate action and event alerts." Hu commented.

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