According to the analysis of safety accidents at industrial sites, experts say that the rate of workers not following the set safety rules is higher than expected. Structural problems in the workplace, poor safety management, insufficient safety training, and a shortage of essential personnel, which are also important reasons. However, accumulation of workers’ fatigue, low work motivation, poor concentration, or insensitivity to safety are most likely to lead to unfortunate accidents. From another point of view, structural problems and poor safety management at the workplace must be solved as soon as possible, but the safety of workers can be even higher if the protection equipment is worn and thorough work step-by-step inspection is followed according to the regulations.

In order to prevent accidents, continuous improvement in the safety structure and processes of the workplace should be accompanied by the safety awareness of the operator. However, even if the worker’s will is high, there are frequent situations where safety regulations are not properly implemented due to physical fatigue, mental state, and working environment. If these cases increase or occur frequently, it is necessary to utilize systematic support such as AI CCTV solutions. If the worker’s own safety awareness and a systematic support system are established, accident-free work sites can be implemented. Today, we will summarize the discovery of safety violations of workers using AI CCTV.

Safety starting point, wearing protective gear

Always and properly wearing protective equipment is a #1 safety rule that is essential to a safe workplace. No matter where the worker is a construction site, a warehouse, or a production line, safety accidents can occur, protective equipment such as safety helmets, protective glasses, and safety vests must be worn. This is because protective equipment plays an important role in reducing the frequency of safety accidents and the extent of injuries.

However, despite the advantages of wearing protective gear properly, the reality is that the percentage of workers who continue to wear protective gear is very low. According to a 2019 survey conducted by EHS Daily Advisor, an industrial disaster and safety education organization, 55% of participating companies said, “Most workers wear protective gear well when they need it, but they need to remind them to wear it regularly.” Overall, the wearing of protective equipment is well protected, but the wearing rate decreases over time, which often leads to accidents. There are many reasons why the workers identified by the survey do not wear protective equipment, such as the inconvenience of wearing protective equipment and the thought that it would not be necessary for the task of performing it.

In industrial and manufacturing sites where safety accidents can occur at any time, a proven and sustainable protective gear detection solution is needed to monitor workers’ wear during work, as well as when managers and supervisors are present.

Need a Protective Equipment Wear Detection Solution

The benefits of using protective equipment wear detection solutions include:

Benefits of Protective Equipment Wear Detection Solution

Fewer accidents and fewer accidents at work: For example, an analysis released by the U.S. Department of Labor Statistics shows that most workers with severe head injuries were not wearing safety helmets:

Lower work productivity and avoid costs: We all know that increased safety incidents lead to lower work productivity, higher direct and indirect costs such as fines and higher premiums. Also, it causes huge health problems and economic losses for individual workers.

Legal punishment and litigation Prevention Safety accidents that occur when a company has not implemented safety accident prevention measures properly often lead to legal punishment or litigation. As a result, the amount of image damage and cost that a leading company has to embrace often exceeds expectations. Most of the time, the cost and effort required to prevent safety accidents are incomparable.

Building trusted relationship and corporate culture: Some employees may feel uncomfortable with the introduction of protective equipment wear detection solutions. However, as the introduction and utilization of the solution reduces safety accidents and spreads positive effects, most employees think that the company cares a lot about employee safety and health. And as this atmosphere spreads, it leads to improved satisfaction with the company and reduced turnover.

Detection of wearing protective equipment using AI CCTV

It’s impossible for you to keep track of workers in the workplace 24 hours a day, everywhere. Therefore, it is most effective to utilize CCTV solutions with AI and computer vision technology that enable workers to accurately and continuously monitor and detect whether they are properly wearing protective gear.

Mobilio provides user-centered AI CCTV solutions with a variety of functions, including worker face recognition, workplace fire detection and drop detection. The Mobilio solution can also be used by general administrators by setting up the necessary features and installing them in the workplace. Users can build and teach some customized AI machine learning models using the Mobilio AI CCTV solution to accurately recognize protective equipment such as safety helmets, protective glasses, safety gloves, and safety vests. By continuing to operate these machine learning models on CCTV devices installed in the workplace, you can immediately detect workers who are not wearing the required protective equipment. The detected content is delivered to Control Center and administrators, who can take necessary action based on it.

Mobilio AI CCTV solution is a high cost-effectiveness solution that prevents safety accidents by accurately detecting and sharing workers’ protective equipment.

Mobilio Co., Ltd. specializes in safety accident prevention solutions.


#SafetyAccident#PreventiveMaintenance#SafetyDisaster#AIcctv#ArtificialIntelligence# #AICCTVSolution#FaceCognition#FaceCognitionTechnology#aibasedFaceCognition#saftyhelmet#computervision#machinelearning