Area monitoring with machine vision involves the use of cameras, sensors, and advanced algorithms to observe, analyze, and interpret activities or changes in a designated space. The primary purpose of area monitoring is to provide real-time surveillance, safety enforcement, and operational efficiency by automatically identifying potential hazards, unauthorized access, or unusual behavior. Machine vision systems enable continuous monitoring without the need for constant human oversight, ensuring safety, security, and optimal performance in various environments.

In urban settings, machine vision is deployed for area monitoring in smart cities, where it enhances public safety and traffic management. Cameras equipped with machine vision can monitor road traffic to identify congestion, accidents, or rule violations such as running red lights or speeding. In public spaces, such as airports and stadiums, machine vision is used for crowd monitoring, detecting unusual behavior that could indicate a security threat or emergency. In manufacturing plants, machine vision systems are used to monitor production areas, ensuring that machinery and equipment are functioning correctly. These systems can detect anomalies such as overheating, equipment malfunctions, or the presence of unauthorized personnel in restricted areas. For example, in a chemical plant, machine vision monitors the operational status of machinery to prevent accidents and ensure compliance with safety regulations.