Construction Helmet Detection with Neural Networks

Construction Helmet Detection with Neural Networks enhances workplace safety in construction sites by automating the monitoring of proper safety gear usage. Using neural networks, the system analyzes images or video feeds to identify workers wearing or not wearing helmets. This real-time detection ensures compliance with safety regulations, reducing the risk of head injuries and promoting a safer working environment in the construction industry.

Software Requirements :-

1. Operating System: Win 7 or more

2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3

2. Hard disk-5GB 3. Memory-2GB RAM