Construction site safety with AI Cameras 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.
Real-Time Helmet Detection as well as Browse Input image. So user have to gave input image and based on it model will detect Worker Helmet on Construction Site, as well it works for real-time; laptop camera will open and it will recognize and detect helmet. 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.
Helmet Detection for Workers on Construction Site using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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