Task

The task was to implement an automated safety monitoring system for construction sites, accurately detecting whether safety zones are occupied or clear. The goal was to enhance worker safety, minimize the risk of accidents, and efficiently scale safety measures across large and dynamic construction areas.

Challenge

Construction sites are inherently risky environments with constantly changing layouts and many hazardous zones. Manual monitoring is impractical, unreliable, and costly, especially as operations scale up. The challenge was to implement a scalable and automated solution capable of reliably identifying and signaling the status of safety zones.

Solution

SALTIR developed a specialized computer vision-based AI solution capable of accurately detecting and monitoring safety zones. The system identifies individuals or objects entering or exiting predefined safety areas, instantly updating zone status—turning zones to red when occupied and green when cleared. A real-time, scalable approach ensures comprehensive safety coverage and rapid responsiveness.

Results

The introduction of AI-based safety monitoring significantly improved safety standards on construction sites. Automated detection minimized human error, substantially reducing the risk of accidents. The scalable solution allowed for consistent application across various sites, enhancing worker safety and operational efficiency while greatly streamlining safety management processes.