TL;DR:
AI features in a cloud video management system commonly include person and vehicle detection, rules-based alerts, AI-assisted footage search, people counting, license plate recognition and PPE detection. The most useful feature depends on whether the system is being used for security, investigations, safety or operational analysis. Buyers should also check whether analytics work with their existing cameras, where video is processed, how accuracy is measured and whether each feature is included or sold separately.
With cloud-based Video Management Systems becoming more and more popular, artificial intelligence (AI) is transforming how businesses monitor and respond to security events. From People Counting to License Plate Recognition, AI-driven tools are indispensable for organizations that prioritize security and operational efficiency.
In this article, we explore the top 6 AI-powered features in today’s leading cloud VMS platforms. These features are transforming video surveillance from passive monitoring into proactive, intelligent security management.
1. Object detection
Object detection takes video security a step further. Instead of just detecting motion – like a tree swaying, it focuses on recognizing what really matters – such as people or vehicles. Whether it’s identifying someone entering a building after hours, or a car pulling into a private driveway, object detection makes surveillance smarter.
Why it matters…
Conventional motion detection can’t tell the difference between something important, like a person or vehicle, and something irrelevant, like light changes or moving trees. That’s why false positives have been a longstanding issue, with traditional systems often misclassifying harmless movement as potential threats.
AI object detection solves this by identifying what is moving, not just that something is moving. This makes surveillance more accurate, more reliable, and far more effective at protecting what matters most.
2. People counting
AI-driven People Counting uses object recognition technology to accurately detect and count individuals entering or exiting a building or area. Hospitals, airports and retail stores use people counting to understand foot traffic patterns and comply with safety regulations. During the COVID-19 pandemic, it helped organizations enforce social distancing and capacity limits.
Why it matters…
Understanding how many people enter, exit, or move through a space has become a critical part of both security and business operations. Retailers use people counting to measure foot traffic, helping them understand customer behaviour and improve store layouts. Knowing peak times helps businesses to optimize staff levels and reduce queue times.
Beyond retail, people counting is used in sectors like transportation, healthcare and events management. The market for these systems reflects their growing importance. According to Fortune Business Insights, the global people counting system market is projected to reach $4.69 billion by 2034, growing at a Compound Annual Growth Rate (CAGR) of 9.4%.
With Videoloft, users can set up people counting zones across entries and exits, track daily trends and export occupancy data – useful for compliance, staffing or marketing analysis.
3. Automatic License Plate Recognition (ALPR)
ALPR uses optical character recognition (OCR) to read vehicle license plates in real time. ALPR capabilities vary by provider. Some specialist systems support stationary vehicles, while others are designed to capture plates as vehicles move through a defined camera view.
It’s used in many industries. For instance, logistics hubs use it to track deliveries and control vehicle access, city authorities use ALPR for traffic management and to enforce rules like parking violations.
Why it matters…
The ability to instantly identify and log vehicles entering or exiting a site offers massive operational and security advantages. In the past, this process relied on manual checks which is time consuming and error-prone. ALPR automates this task, providing a seamless way to track vehicle movements without needing additional manpower.
The Automatic License Plate Recognition market is estimated to surpass $5 billion by 2033. Videoloft’s ALPR functionality enables real-time detection and searchability of license plates, helping users improve access control or conduct post-incident investigations efficiently.
4. Construction PPE detection
Making sure workers wear the right safety gear, like hard hats and hi-vis, is one of the simplest ways to prevent accidents on job sites. But in busy environments like construction sites, factories or warehouses, it’s not always easy for supervisors to keep an eye on everyone at all times.
PPE detection technology uses AI to automatically check whether people are wearing the right safety gear. If someone is spotted without the right equipment – like entering a zone without a hardhat, or walking through a loading bay without a hi-vis vest, it’s flagged as non-compliance.
Why it matters…
Ensuring that workers wear appropriate PPE is crucial for preventing workplace injuries and fatalities. However, maintaining high compliance levels can be challenging due to factors like human error or intentional non-compliance.
According to the Health and Safety Executive (HSE) in the UK, there were 45 fatal injuries to workers in the construction sector during 2022/2023, with falls from height being the most common cause. Proper use of PPE, such as hard hats, is vital in mitigating such risks.
Videoloft supports helmet and high-visibility vest detection in real-time. Supervisors can set up rules to receive alerts if a worker enters a hazardous zone without proper equipment – improving compliance without additional overhead.
5. Intelligent alerts
AI-powered alerts notify security teams when specific activity is detected, rather than relying on someone to monitor every camera continuously. Alerts can be created for events such as a person or vehicle entering or leaving a selected area, crossing a line, or remaining in one place beyond a set amount of time.
More advanced systems allow each alert to be tailored by camera, schedule, severity and recipient. This helps businesses apply different rules across multiple sites—for example, monitoring a restricted area overnight, detecting vehicles entering a loading bay or flagging someone loitering near an entrance.
Why it matters…
Basic motion alerts can generate large numbers of notifications because they react to any movement, including shadows, changing light or trees moving in the wind. AI-powered alerts identify people and vehicles before applying the chosen rules, helping teams focus on activity that is more likely to require attention.
When comparing cloud video management systems, check which event types are supported, whether alerts can be scheduled and who can receive them. It is also important to understand how easily users can review the associated footage and adjust alert rules when they produce too many – or too few notifications.
With Videoloft Smart Motion, users can create person and vehicle alerts using polygon zones and virtual lines. Alert types include detection, intrusion, exit, line crossing and loitering. Users can also set schedules, severity levels and recipients, then review alert footage within the Videoloft web VMS or mobile app.
6. Smart search
Natural-language video search is an emerging cloud VMS capability. It allows users to describe what they are looking for in everyday language, although availability, search accuracy and supported object attributes vary considerably between platforms.
Smart search makes finding the right footage faster and easier than ever. Instead of scrubbing through hours of video, you can simply type what you’re looking for, like “man in a red hat carrying a box” and instantly pull up matching video clips. Powered by AI, smart search understands descriptions of people, vehicles, and objects, helping you quickly locate specific events. It’s ideal for businesses that need to review incidents efficiently, saving time and speeding up investigations without the frustration of manual searching.
Videoloft does not currently offer natural-language Smart Search. Its existing Smart Motion search allows users to filter recorded video by person or vehicle, polygon, line crossing, direction and time in view.
Why it matters…
Sifting through endless footage has always been one of the biggest time-wasters in video surveillance. Traditional systems leave teams scrolling through hours of video, hoping to spot what they’re looking for.
Smart search transforms that process by letting you search with plain language, just like you would on Google. This not only speeds up investigations but also makes security teams more productive, ensuring they spend less time searching and more time solving real problems.
AI in Video Management Systems: A smarter way to stay in control
These tools not only strengthen security but also offer operational insights that can inform staffing, logistics, marketing and compliance.
Whether you’re managing five sites or fifty, choosing a cloud VMS with the right AI features ensures you’re not just reacting to events, but anticipating them.
At Videoloft we’ve already integrated many of these core AI features to improve your surveillance capabilities – and we’re actively working on adding more! You can check, view, manage and respond to these events across all your cameras – from a single platform.
(Article last updated September 2026)
