Using Artificial Intelligence to improve safety planning & monitoring of construction projects
Komal . K . Patil1, Chetan . N . Halijawale2, Sanket . S . Lohar3 , Shantappa . S . Mhetre 4 Sandhya.S. Naje 5 Mayuri. M. Pawar 6
Department of Civil Engineering & DKTE Society’s Yashwantrao Chavan Polytechnic, Ichalkaranji
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Abstract - The construction industry is inherently fraught with safety risks, making it imperative to adopt innovative solutions for effective safety planning and monitoring. Artificial Intelligence (AI) is emerging as a transformative technology in enhancing safety protocols in construction projects. This abstract explores the application of AI in mitigating safety hazards and ensuring a secure work environment.
AI-driven solutions, such as computer vision, enable real-time hazard detection by analyzing visual data from construction sites. Predictive analytics leverages historical safety data to foresee potential risks, facilitating proactive measures. Wearable technologies, powered by AI, monitor workers' movements and health metrics, offering timely alerts to prevent accidents. Additionally, autonomous equipment reduces manual intervention, minimizing the risk of human error.
Proximity warning systems using AI and RFID technology further enhance worker safety by alerting them of imminent dangers. The integration of these AI technologies not only mitigates risks but also fosters a culture of safety and compliance in construction projects.
As the construction industry continues to evolve, the adoption of AI-driven safety measures stands as a pivotal step toward achieving a zero-accident work environment. The insights gained from AI applications pave the way for a safer and more efficient construction landscape.
Key Words:( Artificial Intelligence (AI),Construction safety,
Predictive Analytics, Safety Management, Data Analytics,
Hazard Detection, Worker safety.)