Artificial intelligence for video surveillance is the use of AI to improve surveillance practices and to recognize different elements, including vehicles, objects, humans, or specified events.
Artificial intelligence for video surveillance primarily relies on the use of AI algorithms and software to detect specific events or elements, and then respond accordingly.
AI programs rely on a defined set of rules to work properly. The program relies on computer vision, which is essentially a set of algorithms that allow computers to “see.”
Millions of images are fed into the software, allowing it to review images of humans in different positions, angles, or movements. This allows the AI to eventually distinguish the difference between the different poses.
Over time, the AI gets smarter, making it much easier to detect imperceptible differences in images that the human eye simply can’t capture.
This allows companies to define rules and then use AI for video surveillance to ensure they are followed. For instance, companies can define specific exclusion zones where employees aren’t allowed due to safety reasons.
They can use AI for video surveillance to “protect” the area, which tracks movements within that specified portion of the screen. This way, in case an employee breaches the exclusion zone, the software immediately sends an alert, while also recording the event.
This occurs because the AI is capable of predicting whether the object in the image is a human or not. If, according to probability, it deems the subject as human, it immediately takes action.
Over time, AI for video surveillance continues to learn. For instance, it’s capable of determining when objects appear bigger in the image when the subject is nearer to the lens, and account for such differences.
In general, modern AI uses rules set by a human programmer, thus defining the safety parameters. In case an event occurs that’s outside of defined parameters, an alert is sent by the AI surveillance tool.
Here are some of the major benefits of using artificial intelligence for video surveillance.
One of the reasons why artificial intelligence for video surveillance is gaining popularity is because it requires significantly less resources.
Traditionally, video surveillance has been a resource-intensive task, requiring companies to hire a large number of safety professionals to monitor all the cameras within the establishment.
This puts a significant toll on safety teams, while the company also has to allocate significant resources towards a low-impact task. Companies can manage lean security teams without compromising on the quality of surveillance.
Another major advantage of using artificial intelligence for video surveillance is that it eliminates the risk of human error. In case of a safety rule breach, the AI immediately sends an alert and records the event.
In case of human surveillance, there’s a risk that the safety breach might be missed, especially if one employee has to monitor several cameras.
There’s always a risk of unsafe events being missed by those in charge of safety performance, which may result in an inaccurate assessment of the company’s safety performance.
However, using artificial intelligence for video surveillance helps eliminate that risk. AI can be configured to work with multiple camera systems and cover larger spaces, making it easier to process thousands of images simultaneously without missing any details.
AI can be configured to work with multiple camera systems and cover larger spaces, making it easier to process thousands of images simultaneously without missing any details.
Another major advantage of using artificial intelligence for video surveillance is that it gives security teams access to actionable insights and data that they can use for effective decision-making.
AI tools are capable of auto-generating safety reports which can help companies identify key trends and analyze overall safety performance. This makes it easy for EHS teams to isolate specific areas where improvement is required and analyze the success of existing safety protocols.
When investigating different safety incidents, EHS teams often need to review copious amounts of data, including witness statements, logs, and other details that can help them establish the chain of events.
If they use artificial intelligence for video surveillance, it becomes easier to gather data, as the AI automatically records unsafe events that are captured.This makes it easier for EHS teams to conduct safety audits and make informed decisions.
Protex AI is one of the best solutions for companies that are looking to improve occupational safety in the workplace. It is a fully integrated AI safety solution that connects seamlessly with existing CCTV networks, allowing companies to leverage the power of artificial intelligence to improve surveillance.
The AI is capable of detecting unsafe events, capturing them and storing them for review by safety teams. It’s fully customizable, allowing companies to define rules based on the level of risk they deem acceptable in the workplace.