How Video Analytics Facilitate Business Intelligence
Video surveillance systems have been around for decades with the primary aim of protecting people and property. Along the way there have been some significant technological advancements that have transformed surveillance capabilities. None more so than the shift from analog to IP and the introduction of video analytics.
As well as strengthening security, analytics have created a plethora of new opportunities for surveillance systems.
Video analytics software analyzes and interprets images. It supports operators by being their eyes and ears and doing the tasks that are either beyond most humans, or would take hours, days or weeks of manpower.
The ability of analytics to interpret patterns in behavior allows end-users to make sophisticated decisions about their organizations and assets. These capabilities can be applied to many industry sectors – from healthcare to transport, to city surveillance, banking and leisure. Nowhere is this more apparent than in the retail sector.
Retailers can achieve tangible results from the business intelligence (BI) that analytics provide. More than being a key tool in their loss prevention strategies, it is also valued as a means to improve the customer experience and to optimize store layouts.
There are a whole host of technologies that will forge an increasingly important role for analytics. These include the growth of the Internet of Things (IoT), big data, and Deep Learning (a subset of Machine Learning) which facilitates applications such as facial recognition.
As the adoption and installation of surveillance solutions continues, end-users will want to harness the maximum potential of their systems to derive the best return on investment. This is where video analytics excel. Why not try it out for yourself?
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by Jos Svendsen, Corporate Communications Manager EMEA, Milestone Systems