Camera analytics is an advanced technology that can help Environment, Health and Safety (EHS) teams mitigate risk and ensure safety compliance in the workplace.
It has become a powerful tool for improving workplace safety, especially when used in conjunction with other safety measures like personal protective equipment (PPE).
Camera analytics involve the use of artificial intelligence (AI) and machine learning algorithms to recognize patterns, identify risks, and create real-time alerts.
This technology can help you quickly identify potential hazards that have the potential to cause accidents or injuries in your workplace.
Camera analytics use AI technology to monitor video footage from surveillance cameras and provide real-time data and insights into employee behavior and worksite conditions.
Instead of manually monitoring hours of video footage, camera analytics can quickly detect potential hazards, identify safety violations, and alert workers about dangerous situations.
This type of technology has revolutionized the way EHS teams are able to monitor worksite conditions in a cost-effective way. Since it uses computer vision and deep learning technologies, the chance of human error is also considerably low.
Here are just some of the many benefits that companies get for using camera analytics for tracking safety performance in the workplace.
One of the most obvious benefits of using camera analytics is that it allows you to monitor your worksites remotely.
With camera analytics, you don’t have to be physically present at your worksites in order to check up on them – you can simply log into the camera analytics platform from anywhere and view what’s happening in real-time.
This saves time and money, as it eliminates the need for physical inspections, which can be costly and time-consuming. More importantly, analytical data is collected using AI, which continues to get smarter as more data is processed.
This means that over time, the quality of analytical data available will continue to improve. The system can be “trained” to identify different safety events, allowing companies more control over what qualifies as a hazard.
Another major benefit of using camera analytics is that it enables data collection and analysis.
With cameras equipped with AI technology such as facial recognition or license plate recognition, you can collect data about who is entering and exiting your worksites, how long they stay there, and if they’re wearing proper safety gear.
EHS teams can use this data to generate insights about safety trends over time. This helps you identify any potential risks before they become a serious problem so that you can take proactive measures to prevent accidents or injuries from occurring at your worksite in the future.
Finally, leveraging camera analytics can help reduce risk by alerting EHS teams when unsafe situations arise at their worksites such as hazardous material spills or slips and falls.
Thanks to AI technology embedded within the cameras themselves—such as motion sensors or sound detectors—managers receive real-time notifications when something out of the ordinary happens so that they can take action quickly to prevent further harm from occurring at their workplace.
This helps minimize liability for employers and creates a safe working environment for employees alike. More importantly, it ensures that help is available immediately, which can prove to be lifesaving in critical situations.
If you want to leverage camera analytics in your safety planning, using a tool like Protex AI is a great idea. Protex AI uses computer vision and artificial intelligence to identify unsafe behaviors, and records safety events.
It seamlessly connects to existing CCTV networks in organizations, and can be trained to identify objects or unsafe behaviors.
Recorded safety events are tagged and can be filtered, allowing EHS teams access to critical insights that they can incorporate in their safety planning.