Artificial Intelligence and Video Surveillance – Part 2
- Security Solutions
- 3 days ago
- 3 min read
In this blog, we’ll take a closer look at several practical ways AI‑driven surveillance can transform everyday operations—helping teams reclaim valuable time, reduce organizational risk, and ultimately drive greater profitability. By combining advanced analytics with natural language interaction and automation, these tools are reshaping how businesses search video, respond to real‑time events, and enforce precise operational standards.
PROACTIVE ALERTING
Now we can take this to the next level and move to plain language alerts. Using cameras and NVRs that can deliver to the cloud specific information in real time there are ways to set up alerting. An example of a way this could save money is a receiving department that gets several deliveries a day but needs to be staffed full-time because the drivers will only wait for a couple minutes before leaving. Another reason for a full-time receiving team is to ensure inventory doesn’t leave the through the back door. I can type an alert that asks if a delivery vehicle pulls into the receiving area to text these phone numbers. Then to solve for inventory leaving the back door we could type a command that says “if any boxes leave the inventory area through the rollup doors or the back door, alert these phone numbers” or “if any vehicle other than a delivery van or truck is in the receiving area for more than 1 minute alert these phone numbers”. With these easy commands I may be able to take a person who was only utilizing 50% of their time to utilizing over 80%.
SEARCHING VIDEO
With the data being collected by the advanced analytics of the camera systems, the opportunity for searching video faster and more accurately is at our fingertips because of
large language modeling or LLM. In essence what this means is that you can type in plain language what you are looking for and it can interpret the request and search the video. In some systems, if I had a slip and fall in the parking lot with a person in a red jacket I would be able to ask the system, Search for a person in a red jacket in the parking lot between 8am and 10am on Tuesday. Because of the power of the cloud this search would take seconds. Then imagine you can click on the person in question and pull up all footage of them that day. Where we will be going is you will eventually be able to ask it to bookmark all video of that individual for that day. An investigation that could have taken someone hours has been done in minutes.
APPLICATION SPECIFIC
There are a lot of times when false alerting may become a problem, or specific AI analytics are required. Maybe you have a room where you need to ensure only one person enters when the door is open and you need to make sure no more than three people can be in the room at any given moment. This is something where cloud latency may cause operational challenges. To accomplish this we have cameras where we can take the advanced AI analytics and load them directly onboard the camera. This will allow all processing to be accomplished at the edge. Then taking that information we can write local commands that will ensure enforcement of the parameters. For instance we can play a message that alerts that two people came through the door. We can signal a strobe when more than three people are in the room. When three people are in the room we can disable the card reader. I think you let your imagination run wild.
These examples are only the beginning. If you believe you have an opportunity to implement AI in a way that can help you or your company let me know and I’ll help think through the solution with you.
With more than three decades in the security industry, Jamie has built a career spanning hands-on technical work and high-level leadership. He began as a locksmith, later expanding into life safety and eventually into electronic and mechanical security solutions. This well-rounded background gives him a unique, practical perspective on keeping people and property safe.
Jamie has served as president of both the Washington State and national Electronic Security Association and was honored with the industry’s highest recognition—the Weinstock Person of the Year award. A respected voice in the field, Jamie is a frequent speaker at national conferences and continues to advocate for smarter, safer solutions in schools, businesses, and communities.
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