With every recent conference and summit, one reality is becoming clear: when it comes to video security, the future is now. AI is quickly transforming surveillance into a proactive, integrated solution instead of a reactive, backward-looking tool. Let’s dig into the new developments making AI video security smarter and more proactive.
Proactivity in Video Monitoring
While traditional video security systems focused primarily on recording and storage, the rise of AI in video monitoring allows for real-time responses to security events. Cloud video and AI tools mean no more tedious security footage review after an incident has taken place. Instead, these tools allow security teams to track objects in real-time, create triggers for off-limits areas or hours, and enable instant tracking and response for people or items of interest.
AI Video Monitoring Tools
One of the top tools AI brings to the table is detailed video search. Often used to search for people of interest, abandoned luggage, or lost items, video search allows a staff member to type a description into their monitoring system and access the footage matching the set parameters. They can even set limits around timing and location to pinpoint results, bringing a new level of accuracy to video analytics.
For example, perhaps a staff member in a shared office space leaves their large, blue and yellow wallet on a table while they use the restroom. It’s stolen in a matter of minutes, and when they emerge from the restroom, there’s no trace of their wallet or the person who took it. With AI search tools, the security team can use video search to find the wallet on the table where they left it, then watch the footage to identify the person who took it and even determine that person’s whereabouts if they’re still within the building. This near-instant action would not have been a possibility before AI video monitoring tools made their appearance!
Video Monitoring Integrations
AI in video monitoring can also integrate with additional access control and alert systems to add efficiency to security teams. For example, on a college campus a team could set a rule for unusual activity detection in a classroom between the hours of 8pm and 8am. Through integrations with alert systems, that rule could trigger an automated alert and initiate a security team response in real time.
It could also deploy an automated intervention like an audio warning to alert the intruder that the area is off-limits and actively monitored, deterring unwanted activity. With these proactive integrations, there’s no need to assign security staff to every classroom area, but the areas will still be secure and responses will be quick in case of an incident or intruder.
Video monitoring systems can also integrate with other data sources like water or temperature sensors to create a fuller picture of a physical space and allow for faster responses to events like fires or pipe bursts.
Adding Efficiency With AI
Organizations can use AI in video monitoring and related integrations to create customized workflows that fit their needs. Security solutions become more comprehensive with AI-driven monitoring for key concerns, whether your team is most concerned about water leaks or unauthorized access.
These targeted, scalable solutions add efficiency for security teams by allowing for more location flexibility and better area coverage for each member of staff. Reducing the need for continuous human surveillance while still increasing coverage and accuracy can bring security teams of any size to the next level.
AI is already making a transformative impact on video security and overall security workflows, and we expect to see even more exciting developments in the coming years. To talk about how these new tools might fit into your security strategy, get in touch today.
