Safety Regulation Compliance

Overload Detection

Detects overloaded status exceeding standard values in logistics and work sites in real-time to
preemptively identify potential risk factors such as tipping accidents and equipment damage.
By immediately recognizing violation situations of work instructions, it effectively reduces the possibility of accidents.

Safety Vest Non-compliance Detection

Automatically recognizes whether workers in the work area are wearing safety vests to
detect non-compliance with protective equipment in real-time.
This encourages compliance with worker safety rules and minimizes the risk of industrial accidents.

Only 3 minutes to turn a normal camera into an AI camera! This is how it went.

Step 1

Area Setting

Please set the area according to the work instructions.
Detection is performed for that area.

Step 2

Setting Detection Scenarios

Easily write detection conditions with prompts.
"Let me know if there's luggage inside the restricted area"

Step 3

Check Results & Optimize

Check detection results and modify targets and scenarios if necessary.

Early Identification of Work Instruction Non-compliance

Non-compliance with work instructions is one of the main causes that can lead to large-scale accidents.
EVA identifies violation situations early by continuously analyzing the work status on site and preemptively blocks the possibility of accidents.

Automation of Work Environment Control and Safety Management

EVA goes beyond simple detection and systematically manages compliance with work instructions by integrating with notification, recording, and control systems.
This simultaneously realizes automation of site safety management and operational efficiency.