Safety that
sees.
Thinks.
Acts.
An intelligent industrial safety platform combining computer vision, real-time sensing, industrial PLC control, and AI-driven risk assessment into one integrated system.
DECISION Engine
Watch the system see, think and act.
An illustrative simulation of how perception, sensing, decision-making and control work together on the factory floor, from normal operation to an automatic safe stop.
Continuous monitoring
Illustrative simulation for explanation only. It does not show live plant data.
From raw signals to intelligent decisions.
The platform continuously observes the industrial environment, evaluates multiple sources of information, and translates them into actionable safety decisions.
Computer Vision
Real-time PPE monitoring using AI-based object detection to identify helmets, safety vests, gloves, and other safety requirements.
Industrial Sensing
Environmental and machine-condition signals provide continuous awareness of temperature, gas, vibration, current, and other hazards.
Decision-Making AI
Multiple observations are combined into a dynamic risk assessment instead of relying on a single sensor or isolated alarm.
Industrial Control
The PLC provides deterministic control, interlocking, emergency handling, and machine-level control functions.
Connected Architecture
MQTT and OPC UA enable structured communication between edge intelligence, industrial control, and monitoring interfaces.
Operational Dashboard
Operators can monitor system health, safety events, risk levels, alarms, and historical information through a centralized interface.
Built around industrial reliability.
Edge computing handles intelligent analysis locally while industrial control remains deterministic and independent.
Intelligence at the edge. Control at the machine.
The architecture separates AI computation, communication, visualization, and industrial control to improve reliability, maintainability, and fault isolation.
Engineering safety as a complete system.
Industrial Safety System is an engineering project focused on integrating modern edge AI with industrial automation to create a smarter approach to workplace safety monitoring and control.
Rather than treating every hazard as an isolated alarm, the system is designed to correlate observations, sensor conditions, machine states, and safety rules to support more informed decisions.