Nikam Amit Paresh

CM4050

PCM22030

 In the dynamic landscape of construction safety, visual planning emerges as a beacon of proactive, behavior-based risk mitigation. Anchored in cutting-edge technologies like YOLO SV7, R-CNN, and GADA, this initiative signifies a pivotal shift towards preemptive safety measures. By harnessing the power of computer vision and deep learning algorithms, construction sites are poised to anticipate and address potential hazards before they escalate. This transformative approach not only enhances on-site safety protocols but also fosters a culture of vigilance and accountability among stakeholders. Through real-time analysis and predictive modeling, visual planning empowers construction teams to proactively identify risks, optimize workflows, and ultimately, ensure the well-being of workers. Embracing these innovative tools heralds a new era of construction safety, one characterized by foresight, efficiency, and unwavering commitment to protecting lives.


Report Content

Introduction

Literature Review

Research Methodology

Research Methodology

Data Collection

Data Analysis

Data Analysis

Results

Results

Conclusion

Project Video