An intelligent approach for early smoke/fire detection using vision sensors in smart cities
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Researchers are exploring the use of vision sensors and machine learning for early smoke and fire detection in smart cities. Various approaches are being developed, including the use of vision transformers and spatiotemporal learning, as well as hybrid models combining different technologies. The effectiveness of these innovations is being studied, with some results raising questions about their application in smart cities.
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