Description:

  • “Face Mask Detection On Raspberry Pi Hardware” is a research project focused on developing an efficient and reliable system for real-time face mask detection using Raspberry Pi, a low-cost single-board computer. The project aims to address the growing need for monitoring and enforcing face mask usage in public spaces during the COVID-19 pandemic. By leveraging computer vision techniques and machine learning algorithms, the system can analyze video streams from Raspberry Pi’s camera module to accurately detect and classify faces with or without masks. The implementation on Raspberry Pi hardware allows for a portable and cost-effective solution that can be deployed in various settings, such as schools, hospitals, and retail environments. The proposed system offers a practical approach to enhance public safety measures and promote compliance with face mask regulations.

You can purchase components require for this project from below link:

Pre-Requirement:

  • For this project I have used Raspberry pi Noobs Os
  • If you want to know how to install Noobs os then please click Me

Project Code:

  • Download project code from below button.
  • If you want to understand code explanations then please watch YouTube video.

YouTube Video:

  • If you want to understand how to connect hardware with raspberry pi,
  • And Program explanation for this project,
  • And how to do this project by yourself then please watch our YouTube video.

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  • We do not encourage any student to purchase a readymade project from us. Our mission is to give complete knowledge free of cost.
  • So from our end we already provide code and detailed steps to create this project by yourself in our YouTube video.
  • So if you want to save your money then watch our video and follow the steps that are mentioned in the video.
  • Once you purchase a project then it will take at least 1 month to design your project.
  • You have to pay the complete project cost while placing the purchase order.
  • no refund no exchange policy

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