Innovative Method for Accident Prevention in Construction Sites with Virtual Reality Analysis

Construction sites are prone to accidents, resulting in loss of life, injury and property damage. To tackle this issue, a sensor-based warning system has been developed to alert construction workers of potential hazards in real-time. The system employs GPS and proximity sensors integrated with the Internet of Things (IoT) concept to detect the presence of workers under load lifting areas by cranes. Additionally, a virtual reality environment has been created to analyse various strategies for avoiding accidents on construction sites. The proposed system offers several advantages over traditional accident prevention methods. First, the real-time warning system provided by the sensors ensures that workers are alerted of potential hazards in a timely manner, reducing the risk of accidents. Second, the virtual reality environment allows for a detailed analysis of various scenarios, providing insights into the best ways to avoid accidents. This information can then be used to develop standard operating procedures and training programs for workers. Moreover, the IoT integration enables remote monitoring of the construction site, allowing supervisors to keep track of worker safety and respond quickly in case of an emergency. The use of GPS and proximity sensors also eliminates the need for manual checks, making the system more efficient and reducing the risk of human error. In conclusion, the proposed system provides a comprehensive solution to prevent accidents in construction sites by combining real-time warnings, virtual reality analysis, and IoT technology. The system offers a range of benefits, including improved worker safety, increased efficiency, and reduced risk of human error.