A sophisticated system that uses the Internet of Things (IoT) to detect face masks and screen persons fast is the goal of the "IoT-based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control" project. By integrating a camera with a Raspberry Pi (RPI) for image processing and face mask detection, the system provides real-time feedback on whether an individual is wearing a face mask. This project offers an efficient and automated solution to enhance infection control measures, particularly in public spaces and healthcare settings. Make sure these devices can handle a lot of people quickly and accurately. Use the Internet of Things to track who needs to wear a face mask and enforce it in public areas. Use cameras and sensors to see if people are wearing masks and send out instant notifications if they aren't. Create a hub that can handle all the data from the screening devices and the systems that detect when people aren't wearing masks. Implement secure data transmission protocols to protect sensitive health information collected during screening and monitoring. Ensure compliance with data protection regulations to maintain the privacy and confidentiality of individuals. Strategically deploy the IoT-based system in high-traffic and high-risk areas such as airports, schools, and public transportation hubs.