Masters of Science Business Informatics - Module Digital Construction Industry - Group project to create a safety equipment detection software solution for detecting safety helmets and vests worn by construction workers. Build upon the object detection model of YoloV8 and custom trained model. with data set of 25000 indexed pictures.
modules to install in virtual python enviroment (venv): -> In PyCharm - Settings - Project - Python Interpreter - Add Interpreter
- opencv-python (v4.5.5.62)
- numpy (v1.24.3)
- ultralytics (v8.0.26)
Screenshotting of safety helmet wearing violation can be enabled by creating a folder named "safety_violations" in the root folder of this project.