Computer vision, predictive analytics, segment anything models and machine learning algorithms are highly effective.

These AI models and techniques can significantly enhance construction site safety by providing real-time hazard detection, enabling prompt corrective action, and reducing the risk of accidents

The most efficient AI models for real-time hazard detection in construction sites often include convolutional neural networks (CNNs) for image and video analysis, which can identify safety violations or hazards from surveillance footage. Additionally, techniques such as reinforcement learning and anomaly detection algorithms can be employed to monitor worker behavior and environmental conditions, enabling proactive risk assessment and timely intervention to enhance overall safety on site.