Construction Helmet Recognition with Neural Networks

Construction Helmet Recognition with Neural Networks builds on the foundation of safety in construction by recognizing and categorizing different types of helmets worn by workers. Leveraging neural networks, the system analyzes images to identify helmet variations, ensuring that the correct safety headgear is used for specific tasks. This application contributes to maintaining strict safety standards in construction environments, preventing accidents and protecting the well-being of workers.

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