Rescue and Safety of Workers at Construction Sites by Implementing AI and RSSI Technologies

Construction sites pose significant risks to workers, particularly during structural collapses, where trapped individuals become difficult to locate under debris. To address this, we propose a system integrating Received Signal Strength Indicator (RSSI) technology to determine the precise location of workers using signals from smartphones or wearable devices, enabling rapid rescue operations. Our solution not only accelerates disaster response but also incorporates real-time monitoring to alert supervisors via audible alarms if workers deviate from designated safe zones, thereby preventing unauthorised movements. Additionally, we extend safety protocols to prefabricated construction, a sector challenged by safety vulnerabilities due to largecomponent assembly and high-risk lifting operations. By employing Internet of Things (IoT) sensors, we analyse factors influencing safety risks, such as unsafe worker behaviours, excessive workload, and insufficient supervision. The system also leverages historical and real-time data to predict hazards (e.g., impending structural failures), enabling pre-emptive interventions