Build a machine learning model for monitoring body temperature and face mask detection using these open-source libraries.
Due to the advent of Covid and other infections in the past couple of years, it has become customary to check the temperature and see all the people wearing masks in public places like schools, colleges, offices, etc. A person might contact the infection from an infected person even while checking the temperature using traditional methods.
Moreover, Covid-19 is an airborne disease and an infected person not wearing a mask can transmit the infection to others as well. So, to avoid these situations the best solution is to use automated temperature and mask scanner systems. And you can yourself develop such systems with the help of open-source libraries and frameworks.
Explore the topmost and trending open-source libraries to create a temperature and mask scan entry system for covid prevention:
Arduino library for the MLX90614 Infrared Thermometer.
C++ 30 Version:v1.1.3 License: Permissive (MIT)
Real-time plot of temperatures from NVIDIA Jetson on-module thermal sensors
Python 18 Version:v1.0 License: Permissive (MIT)
TouchFree v2: AI-based Mask Detection and Temperature Check
Python 18 Version:2.0.0 License: Permissive (MIT)
Contactless Temperature Monitoring over BLE using ESP32 and MLX90640
C++ 11 Version:Current License: Permissive (MIT)
An accurate and flexible four-channel temperature sensor designed for makers and engineers
Raspberry Pi Thermal Camera in Real Time with MLX90640 and Python
Python 8 Version:Current License: Strong Copyleft (GPL-3.0)
This is a project that aims to create an integrated system combined with mask recognition and infrared thermometer.
Python 6 Version:v1.0 License: Permissive (MIT)
To develop a “Face mask detection” software using Python Programming Language & DataScience, to facilitate easy mask detection from real time video stream as well as from image. About Module: The corona virus COVID-19 pandemic is causing a global health crisis so the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). The COVID-19 pandemic forced governments across the world to impose lockdowns to prevent virus transmissions. Reports indicate that wearing facemasks while at work clearly reduces the risk of transmission. An efficient and economic approach of using AI to create a safe environment in a manufacturing setup. A hybrid model using deep and classical machine learning for face mask detection will be presented. A face mask detection dataset consists of with mask and without mask images, we are going to use OpenCV to do real-time face detection from a live stream via our webcam. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Our goal is to identify whether the person on image/video stream is wearing a face mask or not with the help of computer vision, data science and deep learning.
Python 1 Version:Current License: Permissive (BSL-1.0)
A smart COVID-19 mask detection system built for use in public workspaces!
Python 1 Version:Current License: Permissive (MIT)
We developed Artificial intelligence based model in COVID-19 which detect face mask with accuracy 97.68% and sense the body temperature from distance 1.5meter. System embedded on raspberry pi 4. This system is IoT based. Technologies: Python, openCV, IR Thermal sensors, tensorflow/keras, numpy and pandas.
Python 1 Version:Current License: Permissive (Apache-2.0)