Precise Detection of People Using Pre-Trained Machine Learning Models With Assisting Heat Sensor Camera
The thesis examines the possibility of developing a system that can be used to detect the number of people in a given area with high accuracy. By using a variety of hardware components, publicly available object detection models and a cloud platform a highly modern approach is examined. The aim is to develop a cost-effective and scalable system which should be able to adapt to a given area. Differ