But first, let me take a selfie video
As the speed of data connections and processing power steadily grew in the past decade, so did the proliferation of video and its private and commercial applications.
Video surveillance is now in place in most public areas, as well as business, commercial and private property worldwide.
As a result, hundreds of thousands of hours of video footage are generated by connected camera devices every 24 hours.
The need for analysing video
Surveillance is as useful as what organizations do with the material they are gathering around the clock.
The reality is that collected surveillance footage is rarely watched by humans today, unless there is a reason to look for something that may have been recorded at a certain location, during a certain time period. Security breaches and criminal incidents are examples of events that often prompt the close examination of available footage from multiple devices and angles.
As recording devices and algorithms become more sophisticated thanks to machine learning, so does automatic incident recognition, notification and eventually – prevention.
From incident-based surveillance to intelligent analytics
The need for video analytics emerged when organizations found themselves with terabytes of video that no one had time to look through or process, rendering it practically useless outside of incident detection, response or prevention which was generally addressed by having built-in motion detectors. There are other useful insights that can be extracted from video, however.
This prompted the creation of algorithms that could identify certain types of events and pinpoint them quickly and easily among the big data generated by video recordings.
Having this technology at one’s fingertips would not only make the entire surveillance process more efficient, but would allow security staff to focus on more essential tasks, like monitoring environments in real-time and preventing incidents as they occur. The tech would also eliminate human bias regarding what constitutes potential incidents that need to be followed up on.
How do video analytics function?
There are several ways to implement video analytics in your surveillance operations. Some cameras come with complete hardware and software solutions, which include AI-powered real-time analytics as well as historical reports. Software can be also installed on network video recorders, this being better suited towards large operations with multiple points of surveillance.
Of course, video can also be fed into a stand-alone application running on a simple machine or a server, thus analysing the input of a potentially limitless number of devices.
Practical applications of video analysis
Video analytics solutions can capture and identify various types of content and events, including motion detection, facial recognition, crowd and vehicle counting, heatmap and dwell time in shopping aisles, traffic and queue detection, and more.
What’s key in determining the best option for you is the level of sophistication in making out routine vs. alert-worthy input and whether the solution is based on AI, which means it will get better with time and experience. Solutions that allow you to set the level of sensitivity, the timing of recording and the method of notification, are also helpful. Most commercial IP devices and software are capable of placing a call, sending an SMS, or an email when motion detection sensors identify an event.
Better decision-making through analytics
Video intelligence has been the focus of European IFSEC events in recent years and as solutions become more robust, we expect them to remain an industry hot topic for quite some time.
The applications of analytics software and hardware go beyond simple security surveillance and have already disrupted multiple sectors, including public administration (traffic monitoring and management, air quality control), retail operations (theft), event management (conferences, tradeshows, festivals, concerts).
Integrating analytics tools into your surveillance system can make it more intelligent and effective. If you haven’t yet investigated such solutions for your business, it is a good time to do so, in order to make the most out of your video recording infrastructure. The goal here isn’t necessarily to reduce the number of security staff you employ but to complement their roles and effectiveness in safeguarding your most valuable assets.
Planning to implement video analytics in the next year? Let us know @pegusapps.
Copywriter Ina Danova