Due to the different operating principle of thermal imaging, the image provided is not in the form provided by the day cameras, but only the thermal profile of the objects within the field of view is depicted. This fact increases the difficulty for the inexperienced user to identify and point suspicious events, especially over long observation distances. It should be noted that 50% of the timely detection of suspicious events depends on user experience. So far, user training takes place in real field conditions, during existing environmental conditions and with a cost-constrained scenario. The project intends to the development of an innovative thermal imaging simulation software for educational purposes in outdoor and indoor surveillance, taking into account environmental and lighting conditions, by immersing trainees in a Virtual Reality environment. For this purpose, 3D imaging of virtual objects will be created based on the thermal coefficients and properties of static and dynamic objects of interest, 3D volumetric performance of thermal models, multimodal surface/volume modeling, simulation and visualization data and motion performance in the virtual environment. The final system will allow the dynamic interaction of the trainee with the virtual objects and of the trainer with the content of the training scenarios in real time.