Managing video surveillance challenges with intelligent VCA

AI video analytics in Indian security industry

The security and surveillance teams are always on their heels. It just isn’t possible for the responsible security professionals to even catch a breath sometimes. One potential threat overlooked would mean the loss of property and even lives in many cases.

There’s too much at stake. Rightly so, the decision makers and leaders in the domain of security and surveillance are in constant pursuit for achieving supremacy in the field of tracking and monitoring suspicious activities around them. In this post, we are going to discuss the current state of security surveillance and the challenges in that.

Solving crimes with video monitoring

According to a blog post released by top security company – BriefCam, the video has proven out to be an amazing tool that can be used for investigating, monitoring and keeping locations secure.

A lot of the professionals have reported that video monitoring allows them to watch live feeds from the concerned location and helps them to assist the responders and law enforcement agencies.

Not only this, the video monitoring becomes even more instrumental in the post-event investigations. Police officials and even people from intelligence agencies leverage the power for video monitoring to solve crimes and generate key insights while solving crimes.

Need to make video monitoring better

While the results of video monitoring are clearly visible in the world of security and surveillance, there are a lot of improvements that can be made which will help combat crime better.

For one, surveillance in current form calls for huge manpower. A lot of people are required to sit and watch video feeds being generated from the various cameras at any given location.

Second, the chance of error is very high if the agents are continuously watching videos. If you think in a practical manner, chances of an agent missing some key details are not very less even if the agents try hard. Not only this, there are many details such as the frequency of a person in video, shadow or reflection that the human eye just can’t be expected to detect and make inferences from it.

Too much to handle

With so many cameras being deployed at so many places, the number of video hours being recorded has been skyrocketing. And this has made monitoring the videos almost impossible for many agencies and organizations across the globe.

Simply because the enormous amount of video data translates into hours of manual review. And even if the officers and decision makers choose to limit video evidence they want to consider, there’s a risk of missing key information about the cases.

Enter artificial intelligence

Artificial Intelligence based solutions are there, however, to solve all these issues regarding the video monitoring and analytics. Unlike human agents monitoring the videos, the AI-powered video monitoring solutions are able to detect and generate insights from the otherwise undetectable stuff like a shadow or a reflection in the video. Law enforcement agencies and security professionals across the world are adopting video analytics solutions based on Artificial Intelligence.

Video Content Analytics (VCA) technology uses Machine Learning Techniques and Artificial Intelligence based methods for training computers and teaching them to detect and distinguish between video objects along with generating key insights from them.

VCA is known to accelerate the process of reviewing the videos and generating key insights from them. Whether it is about post-event investigation, or it is required for real-time events, VCA can be useful in both of them.

So, this was all you needed to know about the challenges in the field of video analytics and what is being done to solve them. Feel free to comment down your thoughts.

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