Aiming at solving the problem of low license plate detection accuracy in the smog environment in the current license plate recognition field, a deep learning-based anti-smog license plate detection method is proposed in this paper. The method can detect civil license plates and ...
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In some complex circumstances, the detection of conflagration mostly depends on smog detectors, which have lots of limitations in precision, efficiency and safety. If we make full use of object detection algorithms to detect the flame in... ...
the red box highlights several crucial aspects of network enhancement: ①~② Upgrading the neck region to capture necessary feature maps for small object detection, ③ Enhancing the neck region to connect the feature maps, and ④~⑤ Increasing the backbone capacity to extract smog features more ef...
To enable forest fire smoke detection using UAV cameras and deep learning, we gathered a substantial number of images containing forest fire smoke and smog-like objects. This addressed the challenge of the limited availability of forest fire smoke-related datasets. Additionally, the proposed improved...
Previously, in addition to the usual weather, several datasets proposed weather circumstances such as snow, rain, night light, fog, haze, smog, sand storms, clouds, overcast, etc. The work plan recommends integrating datasets from several sources containing various meteorological variables to detect ...