- 期刊
Development Status and Trend of Flame Detection based on Deep Learning
摘要
In daily life, fire is also the most frequent and common threat event. However, the fire is relatively easy to extinguish in the initial stage. Therefore, it is necessary to identify the fire and give an alarm by using the algorithm based on deep learning. Compared with the traditional point sensor, the accuracy of flame recognition based on a deep learning algorithm may decrease, but the speed and anti-interference ability can be greatly improved. This paper mainly analyzes the development status of flame detection algorithms based on deep learning, as well as the widely used methods at present, and finally, summarize the remaining problems. The future development trend is predicted.
參考文獻
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