There’s no denying that video surveillance technology has come a long way over the years. From grainy videos in its early stages to the quality software and clarity today, video surveillance continues to make great strides and advancements.
The goal of security cameras and surveillance systems is to capture, detect, and deter any unlawful behavior in and around homes, businesses, and public areas. Before, installing a security camera system was a costly and laborious job, involving lots of wires and cables running throughout the building. As technology progressed, security cameras became more accessible and affordable, allowing more users the opportunity to invest in their security. Now there are numerous DIY solutions that make it easy for homeowners to install and set up on their own security systems.
For businesses, implementing a team of people to actively monitor security cameras at all times was once the only option. Now, much of the monitoring aspect of security and surveillance systems can be automated. Rather than having the mundane task of watching numerous monitors, security cameras now have the ability to detect any suspicious or abnormal behaviors and will alert a security officer as necessary.
While we have seen the security industry flourish over the years, this is just the tip of the iceberg. Our technology will continue to advance and amaze us in ways we never thought possible.
Artificial intelligence (AI) in video surveillance enables the “smart” features we now see with security cameras. In general, security cameras enable us to monitor situations in real-time or go back to review previous footage. With the integration of AI technology, not only can we monitor in real-time, but potential issues can be identified before they become real problems.
With the emergence of video analytics, footage can be analyzed immediately to identify any abnormal activity or threats early on. This technology helps the software ‘learn’ what is normal in order to identify unusual behavior and is meant to make up for human error, rather than replace human monitoring all together.
While it was always a goal to integrate AI and video surveillance, the technology, from a hardware standpoint, was not ready. One of the issues that needed to be addressed was decreasing the power demand to a level low enough that would allow the technology to be embedded into the cameras.
As more cameras emerge with new AI technologies and processes, we will begin to see more advanced features including crowd density monitoring, facial recognition, stereoscopic vision, and behavior analysis.
Behavior analysis in particular is what a lot of tech companies are focusing on. By implementing a technology that can identify and recognize precursor patterns associated with crimes and other bad behavior, we may be able to greatly improve public safety and security.
A great example comes from the West Japan Railway, where it was found that 60% of people hit by trains in Japan were intoxicated. They have now installed security cameras that can automatically search for and detect signs of intoxication. Sleeping on benches, stumbling, falling, or standing motionless for long periods of time are behaviors that are recognized by the AI system. Human attendees are then notified and sent to check on the person.
Of course, a conversation about video surveillance always includes concerns about privacy. No one wants to feel like they are constantly being monitored, but developers insist that these systems know when to stop collecting information and monitoring. As these technologies continue to develop, you may soon be able to “teach” your system when to record and in which situations recording should halt.
Although it is still in its early stages, AI technology and video surveillance is heading in a positive and exciting direction. Mass adoption may still be a ways to go, but it’s great to see AI being applied in a new setting.
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