Video Analytics explained in 1 minute
Saturday, 31 December 2016
Author: Toyah Hunting
Video surveillance systems have been around for decades with the primary aim of protecting people and property. Advances in video analytics have created new opportunities for IP surveillance systems.
Going IP is a smarter way for video to be captured, accessed, reviewed, interpreted and stored. Video analytics software analyzes and interprets these 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 software can analyze every single frame of footage for extraordinary events as they happen, which allows operators to make better, more informed decisions.
The real-time benefit
Don’t underestimate just how much this technology is strengthening security. The ability to create rules and to receive alerts in real-time means that action can be taken, and the authorities informed, as incidents take place.
Real-time detection capabilities provide a way to safeguard the unmanned, remotely monitored sites. It allows operators to take decisive action.
Analytics without the hefty price tag
Two methods allow analytics to be implemented: central installation on the video management software server or incorporation into the camera itself, known as the edge. Edge technology removes the need for backend server infrastructure. This has significantly driven down the cost of this technology, making video analytics much more accessible.
The applications of video analytics are still underutilized and underestimated. More and more industry sectors are adopting the technology, but its use will continue to evolve. Much like apps have in recent years. An open platform video VMS system like Milestone’s allows the customer to choose the solution that will work best for their needs.
Intelligent video applications
A whole host of technologies 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. Many industry sectors have already joined the analytics revolution and are reaping further benefits in addition to security.
Nowhere is this more apparent than in the retail sector. Retailers can achieve tangible results from the business intelligence (BI) that analytics provide. As well as being a key tool in loss prevention strategies, it is also valued as a means to improve the customer experience and to optimize store layouts.
The VMS plays an important role. It is not only an administrative function and the ‘safe-keeper’ of video data, but also an integrating function. If the VMS is a true open platform, it allows more than one analytic function to run concurrently. This enables the customer to adapt their video systems to their changing needs.
For example, a retailer could ‘heat map’ in-store customer behavior, have another solution monitoring queue length at the checkouts, and a third running facial reaction tracking measuring the efficiency of digital signage.
By analyzing video and recognizing patterns, analytics management systems can determine key information such as footfall, and where the prime spots are in the store to optimize sales. Rather than purely being the domain of the security department, the video analytics software delivers valuable information and insights into customer habits and behavior to the merchandising, procurement and marketing teams.
These capabilities can be applied to many other industry sectors – from healthcare to transport, to city surveillance, banking and leisure. It is the ability of analytics to interpret patterns in behavior that allows end-users to make sophisticated decisions about their organizations and assets.
For a complete overview of all video analytics solutions that work with XProtect®, visit our Solution Finder