This repository contains a computer vision project aimed at detecting whether individuals are wearing construction helmets or not. The primary objective of this project is to enhance safety in construction work environments and prevent unwanted incidents.
- Objective: To improve workplace safety by ensuring that workers are wearing helmets. 🛡️
- Technology Used: The project leverages OpenCV and a pre-trained SSD MobileNetV2 model for object detection. 🖥️🤖
- Methodology: The machine learning model is trained to identify and differentiate between individuals wearing helmets and those who are not. 👷♂️👷♀️
- Real-time Detection: Capable of detecting helmet usage in real-time video feeds. 📹⏱️
- High Accuracy: Utilizes a robust pre-trained model to ensure high detection accuracy. 🎯
- Scalability: Can be extended and adapted for various safety gear detection. 📈
This project serves as a practical tool for enhancing safety protocols in construction sites by ensuring compliance with helmet-wearing regulations. By leveraging advanced computer vision techniques, it provides a reliable solution to monitor and enforce safety measures. 🏗️🔍
This repository was created as part of the final project for the Hacktiv8 Data Science Bootcamp in 2021. 📅 As such, there may be limitations or outdated methods used in this project. Your understanding and patience are appreciated. 🙏