Live video monitoring with AI analytics helps security teams identify potential threats while they are happening. AI-enhanced video monitoring can assess details such as where activity occurs, when it happens, and how it develops, then flag an event for a trained operator to review. The goal is to give the operator the right, useful information and more time to respond.
Think of these common scenarios: a person enters a loading area after closing. A vehicle circles a parking lot several times. Someone remains near a condominium entrance without going inside. While each event may initially seem harmless, they each could deserve a closer look. That is where video monitoring paired with AI-enhanced analytics can help.
As a video surveillance monitoring company, iGuard360° combines AI-enhanced analytics with trained operators who verify alerts and coordinate the appropriate response.
If you manage a property or oversee its security, the question is not simply whether a system uses AI. You need to know what it can detect, how it handles false alerts and what happens when it identifies a possible threat.
By the end of this post, you’ll understand how AI-assisted monitoring identifies activity that needs attention and what to ask when deciding whether it’s right for your property.
What Does AI Video Monitoring Detect Beyond Motion?
A basic motion alert reports a change in a camera’s view. It may be triggered by a person approaching a door, but also by passing traffic, shifting shadows or activity on a nearby sidewalk.
However, AI-enhanced video monitoring can add context. A person walking past a building may be routine. A person crossing into a restricted loading area at midnight is more relevant. If that person remains near a service door, the activity may require a review by an operator.
Depending on the cameras and how monitoring is configured, AI video analytics can help flag:
- A person or vehicle entering a marked area after hours
- Someone lingering near an entrance or other sensitive location
- Repeated unusual movement around a parking lot or property perimeter
- Activity near stored materials, equipment or vehicles when a site is closed
- Movement that differs from what is expected in a particular area
These are signals for further assessment, and not proof that a crime is taking place. Live alerts help a remote video monitoring team find activity that might otherwise blend into hours of ordinary footage.
How Does Live Video Monitoring With AI Speed Up Detection?
When a property has several cameras, security operators need to know where to direct their attention.
AI-assisted monitoring can screen activity across camera views and flag an event that meets the site’s monitoring rules. An operator can then review the live footage and decide whether action is needed.
Consider a construction site after hours. A camera captures a vehicle stopping near a gate, followed by a person entering the fenced area. With live video monitoring with AI, that sequence can be flagged while the person is still on site. An operator can check the footage and, depending on the site’s response plan, issue an audio challenge or coordinate help.
The time gained will vary by situation. The AI-enhanced video monitoring platform cannot guarantee that every incident will be stopped. But it can help bring a relevant event to the team’s attention before it is discovered through missing property, damage or recorded footage the next day.
Can An AI-Enhanced Video Monitoring System Tell Whether Someone Is A Threat?
A video monitoring system with AI analytics can identify behaviours that meet certain conditions and assess patterns that may suggest a risk. It cannot know why a person is there.
Someone waiting near a condominium entrance could be a visitor expecting a resident. Someone entering a commercial property early could be an authorized contractor. Treating every unusual event as a confirmed threat would lead to unnecessary responses.
This is why human review is needed to provide the judgment required at that point. iGuard360° pairs video monitoring with its AI software platform, Video Sentry, with trained agents at its Global Security Operations Command Centre. The platform helps identify and filter activity; operators verify events that need attention, review the live feed and follow the property’s response plan.
When comparing providers, ask what the AI flags, what a person verifies and who decides whether to escalate an event.
Will AI-Assisted Video Monitoring Reduce False Alerts?
It can help filter irrelevant activity, but the results depend on the setup. A camera aimed at both a property entrance and a busy public road, for example, needs rules that distinguish activity on the property from traffic outside it.
Effective AI-assisted video monitoring accounts for normal patterns: business hours, deliveries, resident activity, authorized vehicles and public access areas. Those patterns can change, so alert settings and camera views may need adjustment over time.
How your camera system is set up and positioned is important. For example, your AI-enhanced video monitoring system may flag something harmless, but it may miss activity that it doesn’t see clearly. Lighting, camera angles and an obstructed view of important areas all affect detection. Proper camera placement and setup by experienced technicians can greatly improve the efficacy of AI-enhanced surveillance systems.
Where Can AI-Enhanced Video Analytics Be Useful?
Alerts can be set up based on activity worth flagging for specific properties. For example, a monitoring plan for a retail space will cover different risks from one designed for an industrial yard.
At a commercial building, activity near a service entrance may be expected during delivery hours and unusual late at night. At a condominium, someone lingering in a vestibule may warrant review, while residents coming and going should not repeatedly trigger alerts.
For a construction site, the priority may be access to fenced areas and equipment after crews leave. An automotive dealership may focus on activity around vehicle lots outside operating hours. In retail, attention might centre on a back-of-house door or another restricted area.
In each case, the useful work begins before an alert occurs: deciding which activity deserves attention and what the monitoring team should do if it happens.
What Should You Ask A Video Surveillance Monitoring Company?
Start by auditing your property’s security and key concerns. Where have incidents occurred? Which areas are difficult to supervise? At what times would unexpected activity matter most?
Then ask a prospective video surveillance monitoring company how its AI video monitoring service would address those concerns:
- Which camera views and areas will be assessed?
- What activity will generate an alert?
- Who verifies an event, and when?
- What response options are available for this property?
- How will the team review false alerts and adjust the setup?
Your existing cameras may be usable, but compatibility, placement and image quality need assessment. Alongside its video surveillance monitoring services, iGuard360° offers technical security services to help with system design, installation and upgrades.
Make Live Video Monitoring With AI Work For Your Property
Live video monitoring with AI is most useful when the software identifies activity that matters and a trained person can decide what to do next. iGuard360° brings those capabilities together through Video Sentry and its Global Security Operations Command Centre.
Contact iGuard360° to discuss your property’s risks, existing cameras and options for AI-assisted video monitoring. Follow iGuard360° on Facebook for more security insights and company updates.
