Researchers are exploring the use of vision transformers and spatiotemporal learning for real-time fire and smoke detection. Various approaches are being developed, including deep-learning-based methods and the use of vision sensors in smart cities, with some focusing on specific applications such as forest fire detection or indoor fire detection. The development of these technologies aims to improve early detection of fires and smoke.