[ADD]: Helmet Detection

[Killer2OP]

Is your feature request related to a problem? Please describe.

In Industry, specially manufacturing industry, Personal Protective Equipment (PPE) like helmet (hard-hat), safety-harness, goggles etc play a very important role in ensuring the safety of workers. However, many accidents still occur, due to the negligence of the workers as well as their supervisors. Supervisors can make mistakes due to the fact that such tasks are monotonous and they may not be able to monitor consistently.

Describe the solution you'd like

Utilize existing CCTV camera infrastructure to assist supervisors to monitor workers effectively by providing them with real time alerts.

• Input is taken from CCTV cameras
• YOLO is used for detecting persons with proper PPE and those without PPE.
• Deep SORT allocates unique ids to detected persons and tracks them through consecutive frames of the video.
• An alert is raised if a person is found to be without proper PPE for more than some set duration, say 5 seconds.

Describe alternatives you've considered

No response

Additional context

No response

Code of Conduct

• [X] I agree to follow this project's Code of Conduct

[Killer2OP]

@khusheekapoor Can you assign me this issue :)

[khusheekapoor]

@Killer2OP - you can go ahead! We are assigning you 21 days for this project, after which it will be assigned to someone else if not completed. All the best! Name the file as: algorithm_dataset.ipynb and link it in the readme of the labeled directory as algorithm - dataset.