On the Design of an AI Enabled Edge Workplace Environment Monitoring Station

This paper reports on the design of an AI enabled edge workplace monitoring system. The system measures fluctuations in temperature, humidity, CO2 levels and human traffic. The project integrates a Raspberry Pi 4 unit with sensors for measuring variables. A camera and an Intel Neural Compute Stick 2 are incorporated for image processing for future investigation of how human traffic impacts environmental variables and likewise how these variables affect human behavior. Notably, the system is self-powered by a solar panel to enhance sustainability and portability.