In this paper, a system for automatic face temperature measurement and face mask detection is implemented. Also, there are simplified theoretical explanation on computer vision, why is it extremely important today and the extent of its use. In addition to the practical part of work, various face detection algorithms such as the support vector machines (SVM), the Viola-Jones algorithm and the histogram of oriented gradients (HOG) are presented and explained through theory. Furthermore, the process of image processing and training of object detection systems is explained. In addition, the topic of machine and deep learning, the most commonly used architectures and the basic differences between them is covered. To measure the temperature of the face, the sensor that was used in the practical part, the method of connecting it to the Raspberry Pi computer and the principle of operation of the temperature measurement system is discussed. In the practical part, a system for measuring the temperature of the face and face detection is implemented using ResNet model and classification if faces wear mask using MobileNetV2 architecture with all the steps shown with the necessary explanation