Due to the threat of Covid-19, compliance is an must. Development of the Covid Compliance System(CCS) will ensure vital Covid-19 restrictions are adhered to. To construct this system various equipment would be needed, namely a raspberry pi 4 with 8GB RAM to be used as the primary embedded device,an sd card to load the raspberry pi operating system onto ,a usb camera module to take a live feed as input data, a infrared raspberry pi camera module to check users temperature and lastly a display to inform users if they have passed the CCS test or which portion(s) they failed. All of these secondary devices will be connected to the raspberry pi 4 to form the Covid Compliance System. The first restriction to be verified would be that an user is wearing a face mask, this would be checked with a live feed (by using the usb camera module) and be compared to a trained neural network and machine learning model for verification . The second restriction to be adhered will be social distancing , the method applied to verify that this is being adhered to would take a live feed (by using the usb camera module) as input data and with the aid of OpenCV determine distances bewteen people to verify that they are social distancing. These two algorthimns run simulatneoulsy to perform real time analysis. Red bounding box means non-adherence and green conversely means adherence.