Helmet Detection on Construction Site using Python
In this video, we will show you how to detect safety helmet on construction site. User have to just upload input image or video of any construction site and model will detect helmet from inputs. If worker not wear safety helmet then it will show no-helmet and it will give output with accuracy.
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.
Automatic Detection of Helmet Uses for Construction Safety
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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