IoT-enabled facemask detector for Covid19-Zamar Khan Test phase, srs, design phase and source code final deliverable
Project Domain / Category
IoT
Introduction
A health Outbreak is caused by the COVID19 pandemic. The most powerful safety tool is wearing a face mask in public places and everywhere else. The COVID 19 outbreak forced governments around the world to implement lockdowns to prevent virus transmission. According to survey reports, wearing a face mask at public places reduces the risk of transmission significantly.
We are going to create a IoT-enabled smart facemask detector using machine learning which will help in lessening of this health outbreak. Our IoT-enabled smart facemask detector could be used at shopping malls, hotels, apartment entrance, etc. This device can help to organizations to improve the overall prominence for COVID19 protection by enabling the Internet of Things (IoT) technology.
Functional Requirements:
- Face Mask Detection
- Setting an alarm when intruder (a person without facemask) enters.
- Create an interface for monitoring and keeping stats of person entering with mask and without mask.
- Calculate Intruders peak time by monitoring daily stats and informing authorities of the intruder’s peak time.
Required Hardware:
- Raspberry Pi (Pi 4 is recommended)
- Pi camara module
- MicroSD card
- Power supply/Keyboard/Mouse/Monitor/HDMI Cable Tools and technologies:
Raspbian OS, Putty, VNC server and WinSCP etc. Tensorflow, Keras, Open CV etc.