Harness Detection
Harness Detection
What is Harness Detection?
Using technology like video analytics to detect whether workers are wearing safety harnesses (properly) or not is referred to as harness detection. This kind of detections is especially important in high-risk jobsites like construction, oil & gas, mining or any other jobsite that involves working on elevated platforms.
Improper or missing harnesses can lead to fall-related accidents. However, by implementing a harness detection system that uses video analytics, industrial workplaces can ensure real-time monitoring and better compliance with safety regulations.
How does video analytics help in harness detection?
By analysing video footage captured by the AI CCTV and IP cameras, video analytics identifies whether or not workers are wearing safety harnesses. In case of non-compliance, the system triggers alerts, so that instant action can be taken and accidents can be avoided.
How is Harness Detection that is powered by video analytics different from manual safety checks?
Manual checks rely on human observations that are often inconsistent, time-consuming, and prone to errors. In contrast to this, the harness detection systems that are powered by video analytics perform continuous and non-intrusive scanning across workplaces, ensuring no lapse goes unnoticed, even in highly complex or overpopulated jobsites.
Can video analytics differentiate between harness types or colours?
Yes. Video analytics systems can be trained to identify specific harness designs, colours and reflective strips. This is especially useful in sites that use multiple types of gears. Computer vision further boosts this ability to distinguish different types of harnesses, helping reduce false alerts and ensure more accurate monitoring.
How scalable is video analytics for harness detection?
Harness detection that is powered by video analytics is highly scalable across multiple working zones or even different locations. Centralized dashboards can compile data from hundreds of IP cameras, making it easy to monitor multiple teams, floors, or facilities.
Article by
Barnali Sharma
Content Writer
Barnali Sharma is a dedicated content contributor for viAct. A university gold medalist with an MBA in Marketing, she crafts compelling narratives, enhances brand engagement, and develops data-driven marketing campaigns. When she’s not busy working her content alchemy, Barnali can be found commanding stages with her public speaking or turning data into stories that actually make sense -because who said analytics can’t have a little creativity?