In modern manufacturing environments, the majority of workplace accidents stem not from equipment malfunctions but from human behavior. Situations such as not wearing PPE, entering hazardous areas, or standing too close to operating machinery can all lead to serious risks.
The problem is that these behaviors happen very quickly and are difficult to detect in time using traditional monitoring methods. This is why AI Safety Monitoring systems are increasingly being used – helping factories not only “see” but also “understand” behavior in real time.
I. How does AI “see” and identify behavior?
AI uses Computer Vision technology to analyze images from cameras. This process is continuous and almost instantaneous, through three main steps. First, the system identifies objects in the frame such as people, machines, or personal protective equipment (PPE). Next, the AI tracks the movement of these objects, including their position, direction of movement, and distance from hazardous areas. Finally, the system analyzes behavior based on established safety rules or machine learning models. Thanks to this, AI can determine whether a behavior is safe or dangerous in milliseconds.
II. How does AI detect hazardous behavior?
Unlike conventional cameras that only record images, AI actively compares actual behavior to safety standards. For example, if a worker is not wearing a helmet, the system will identify this as a violation of personal protective equipment (PPE) regulations. If someone enters a restricted area or stands too close to operating machinery, the AI will recognize this as hazardous behavior. Upon detecting a risk, the system can issue an immediate warning via lights, alarms, control panels, and SMS messages. Simultaneously, the entire event is recorded and stored for analysis and future improvement.
► Read more: AI Safety Monitoring for smart factories
III. Compared to Traditional Monitoring Methods
In factories, safety monitoring often relies on traditional cameras or human supervision. However, both have clear limitations. Cameras can only record and support playback after an incident occurs, while humans can hardly monitor continuously and easily miss dangerous situations.
Conversely, i-Soft’s AI-powered security camera system can detect risks in real time, operate continuously 24/7, and requires no human intervention. More importantly, the system provides data for businesses to analyze and systematically improve safety. In short, the camera sees – the artificial intelligence understands and acts.
V. Practical Applications in Factories
AI behavior recognition is being implemented in various areas of the factory. In the production line, the system helps detect PPE violations and alert to hazardous operations. In the warehouse and logistics area, AI helps reduce the risk of collisions between people and forklifts. For hazardous areas such as robots, high temperatures, or chemicals, the system can immediately alert when someone enters. As a result, businesses not only minimize accidents but also improve safety compliance.
VI. Benefits of Implementing AI Safety
The application of AI in safety monitoring brings many clear benefits: reduced workplace accidents, early risk detection, improved monitoring efficiency, and data generation for continuous improvement. This is also a crucial step in building a smart factory.
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i-Soft Joint Stock Company – specializing in providing factory digitalization software solutions
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