Smart Building Sites: Using AI and RSSI to Ensure Proper Worker Attire and Safety Compliance
M S Dhanush Kumar
Harikrishna G
Kanagaraj S
Department Of Electronics and
Communication Engineering
Panimalar Institute Of Technology
Chennai ,India
dhanush63830@gmail.com
hariduke2001@gmail.com
skanagaraj335@gmail.com
Guru Pandi D
SathyaPriya S
JeyaRamya V
Department Of Electronics and
Communication Engineering
Panimalar Institute Of Technology
Chennai, India
gurupandi85@@gmail.com
priya.anbunathan@gmail.com
jeyaramyav@gmail.com
ABSTRACT
In construction and building sites, workers are often at risk of injury or entrapment due to accidents such as building collapses, where individuals may become buried beneath debris and rendered unreachable. To enhance search and rescue efforts, we integrated Received Signal Strength Indicator (RSSI) technology, which uses signal strength from devices like smartphones or personal locator beacons to accurately triangulate the location of trapped individuals beneath rubble. By incorporating RSSI into our rescue protocol, we can rapidly assess the environment and streamline rescue operations, significantly reducing the time required to locate injured workers. Additionally, our system continuously monitors the RSSI of workers on-site, triggering an alert via a buzzer if a worker moves away from the designated construction area, ensuring real-time safety and preventing unauthorized departures. This innovative approach improves the overall effectiveness of rescue missions and workplace safety by enabling quick and accurate worker location both during emergencies and routine operations. The use of RSSI in high-risk environments highlights the potential of advanced technology to safeguard workers, ensuring timely rescues and proactive safety measures.
KEYWORDS: construction safety, RSSI technology, search and rescue, worker monitoring, emergency response, signal strength, location tracking, building collapse, debris recovery, real- time alerts, workplace safety.
