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AIoT sensor-based safety anomaly detection
By collecting and analyzing data from various IoT sensors, anomalies are predicted to detect fire risks in advance, and the trend of rising levels of hazardous and flammable gases is forecasted to prevent worker safety accidents
AI edge systems detect fire and safety hazards in manufacturing sites using IP cameras and IoT sensors
To proactively prevent safety accidents, when site hazards are detected, an interface is provided that utilizes warning lights and alarm systems, considering workplace noise, to take action and control as needed
In most safety incidents related to forklifts or hazardous equipment, communication issues among workers arise due to workplace noise, or audio alarms go unnoticed. Intuitive warning light color changes are used to convey dangerous or emergency situations
Video anomaly detection content
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