Mendes, FilipeFernades, Armando M.Fernandes, LuisPiedade, FernandoChaves, Paulo2025-09-162025-09-162022F. Mendes, A. M. Fernandes, L. Fernandes, F. Piedade and P. Chaves, "Study on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillance," 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 2022, pp. 1-6http://hdl.handle.net/10400.26/58686The monitoring of certain areas can be a tedious and non-interactive task that usually leads to some missed occurrences. With the development of object-detection models, this problem can be mitigated and reduced. In this paper, a rare application of EfficientDet model to the analysis of footage from an infrared camera in real-time is studied. The model will be used to detect deers, people and cars in images captured at the surroundings of a classified facility from where we do not yet have images available. Consequently, we show the process of creating the model and discuss the problems raised by the real-time performance limitations as well as by the available data limitations. The results obtained suggest that this kind of implementation has the potential to improve existing surveillance systems.engObject-DetectionAIEfficientDetInfraredThermalDeersconference proceedings10.1109/ICECET55527.2022.9872921