Smart Temperature and Mask detection System using Raspberry Pi and Temperature Sensor with Camera and Barrier Enabled

Smart Temperature and Mask detection System using Raspberry Pi and Temperature Sensor with Camera and Barrier Enabled

¹Pranshu Pachouri, ²Dr. Manish Kumar, ³Hemraj Lakhara, ⁴Teekam Kumar, ⁵Rehan Khan, ⁶Lokesh Saini

^1,3,4,5,6 Student, ²Associate Professor

Department of Information Technology, Arya Institute of Engineering & Technology, Jaipur (Rajasthan)

Abstract

The COVID-19 pandemic, which is caused by a new corona virus, is still spreading. More than sixteen million individuals have been infected across India so far, and the figure is continually rising. The health-care system is in critical condition. Wearing a mask is one of the many preventive steps adopted to decrease the spread of the disease. It's tough to physically check if someone is wearing their facial mask appropriately and to assess their temperature. Early symptom detection and good hygiene standards are therefore critical, particularly in situations where individuals come into random touch.

In this research, we propose a Raspberry Pi-based system for limiting COVID-19 development by detecting and monitoring persons who are not wearing a face mask. Unlike handheld thermometers, which require a person to take a person's body temperature, our system uses the IR Thermal temperature sensor to provide a contactless and efficient temperature check, and an OpenCV subsystem based on a Raspberry Pi single board computer equipped with a camera module to allow or deny a person's entry into buildings and event venues for facial mask detection.

Keywords: OpenCV, Python, Tensor Flow, Raspberry pi, Keras, Deep learning, COVID-19.