Electric Street Cart with Protocols for Airborne Diseases

An Electric Street Cart with Protocols for Airborne Diseases has been developed using Raspberry Pi, artificial intelligence, deep learning, image processing, webcam-based face detection, IR sensing, and audio-warning techniques. The implemented system automatically identifies individuals with and without face masks and generates an alert when mask requirements are violated. The sensor-based distance-monitoring subsystem additionally provides an audio warning when the required distance is not maintained. The integration of these functions provides a practical prototype for assisting street vendors in maintaining basic airborne-disease safety protocols. The proposed approach can be further extended to surveillance systems and other public environments where automatic mask and social-distance monitoring is required.

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