Video surveillance systems may have been around for decades, but the widespread deployment of artificial intelligence (AI) has revolutionized the industry, delivering transformative security advancements and operational efficiencies.
Beyond the expectation that security algorithms can distinguish between human and vehicle and deliver accurate intrusion, line cross and loitering detection, AI is designed to assist and augment your security teams, automating surveillance tasks and freeing them to do what they do best: make critical decisions.
1. Faster Response
AI algorithms analyze vast amounts of video data in real time, detecting and responding to potential threats much faster than traditional security measures. This means that security teams can detect and respond to security incidents more quickly, reducing the risk of damage and data loss.
2. Automate Routine Processes
AI systems can automate routine tasks and processes, such as identifying and tracking individuals and objects in real time and automating incident response. This too allows security teams to respond to security incidents more quickly, while also freeing them up for other responsibilities.
3. Focused Attention
AI essentially assumes responsibility for “watching” security video by using video analytics to analyze video footage in real time and detect areas of concern. Alerts are then sent to security teams to verify these potential threats. This reduces the amount of time security teams spend on actual surveillance and frees them up for other activities.
4. Continuous Learning
Some AI-powered software can engage in continuous learning. This means the software can learn what typical activity in a scene looks like and then detect and flag unusual events in real time.
5. Insights & Analytics
Another application for AI in video surveillance is the ability to analyze vast amounts of video data in real-time to provide valuable insights and analytics. For example, AI can be used to identify patterns of crowd behavior, customer behavior, and even traffic flow.
6. Faster Search
Perhaps the most impactful area of AI in video surveillance is in its search capabilities. Before AI, security teams would have to scan hours of video, one camera at a time in hope of finding a critical event or clues. Today, AI facilitates faster forensic searches, speeding up investigations from days to hours or even minutes. Essentially, AI enables security teams to quickly search through large amounts of recorded video faster, automatically focusing their attention on the atypical events that may need further investigation.
Some software (such as Avigilon Appearance Search™ and Hanwha Wisenet™) can help security teams quickly locate a specific person or vehicle of interest across all cameras within a site. Once the physical description of a person involved in an event is known, this technology can initiate a search across all cameras for certain matching descriptors (i.e., gender or clothing color).
As the video surveillance industry continues to grow with 9.6 – 12.8% CAGR (depending on your source), artificial intelligence will be ubiquitous, delivering unprecedented efficiencies and insights for your security teams.
**Content for this blog was provided in part by Avigilon and Hanwha. CM3 proudly deploys the Avigilon and Hanwha suite of security products.