• Harshitha H S
• Mrs. Swetha B
• Nikhitha P

The COVID-19 pandemic underscored the necessity for intelligent monitoring systems capable of ensuring public safety through automated screening. This work presents a contactless, integrated approach for face mask detection and body temperature monitoring using a Raspberry Pi-based embedded platform. A deep learning model implemented through a Convolutional Neural Network (CNN) combined with OpenCV facilitates accurate mask recognition, while a temperature sensor records real-time body temperature. The system provides an efficient, cost-effective, and scalable solution suitable for deployment in public environments such as hospitals, institutions, and transportation hubs.

Key words: Face Mask Detection, CNN, Raspberry Pi, Temperature Monitoring, IoT

"Facemask and Body Temperature Detection Simulation by using Proteus Software.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.f380-f386, November-2025, Available :http://www.jetir.org/papers/JETIR2511565.pdf

"Facemask and Body Temperature Detection Simulation by using Proteus Software.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppf380-f386, November-2025, Available at : http://www.jetir.org/papers/JETIR2511565.pdf