Reducing False Alarms With Deep Learning

Hikvision Digital Technology has been at the forefront of applying the technology in the surveillance industry and beyond, and has already released its first set of products that harness the power of artificial intelligence (AI).

The concept of deep learning takes inspiration from the way the human brain works. Our brains can be seen as a very complex deep learning model. Brain neural networks are comprised of billions of interconnected neurons; deep learning simulates this structure. These multi-layer networks can collect information and perform corresponding actions according to analysis of that information.

In the past two years, the technology has excelled in speech recognition, computer vision, voice translation and much more. It has even surpassed human capabilities in the areas of facial verification and image classification; hence, it has been highly regarded in the field of video surveillance for the security industry.

Its ability to enhance the recognition of human beings — distinguishing them from animals, for example — makes the technology a great addition to the security arsenal. This is especially relevant in a world where false alarms account for 94 to 99 percent of all alarms, according to police and fire service statistics.

 

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