This paper discusses the research of face recognition based on fusion detection and pose estimation. The auxiliary network is added in face detection, and the SSD based on face pose prediction method is used in pose estimation to improve the accuracy and speed of face recognition. The generated lightweight model is deployed to the embedded system. The experimental results show that it is feasible.
Based on the previous research, this paper introduces the theory of wavelet, collects the situation through the video system, and calculates the key information needed in the fire protection system. That is, through the algorithm to collect the information, according to the flame color characteristics and smoke characteristics were extracted, and as the characteristic information corresponding processing. Alarm system set the corresponding alarm threshold, when more than this alarm threshold, the system will alarm. This combination of flame color characteristics and smoke characteristics of the fire method not only improve the accuracy of judgment, but also improve the efficiency of judgments. Experiments show that the scheme is feasible.
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