Infrared image recognition technology has a wide range of applications in the field of gas detection. Unlike visible light images, gas detection in infrared images is relatively difficult due to the lack of clear contrast and the relative blurriness of gas targets. This paper proposes a weakly supervised distillation network to address the issue of low detection accuracy of gas regions in infrared images in complex scenes. This method mainly generates accurate heatmaps as pseudo labels by utilizing complex class activation mappings; Using pseudo labels to train the specialized model proposed in this article, more accurate heat map results are generated, and finally the heat map results are fused with the foreground obtained based on background difference method to reduce false positives in combustible gas detection results. The experimental results show that the proposed method has high accuracy in various scenarios, and the model can efficiently run in embedded systems, effectively solving the problem of infrared gas recognition in complex scenarios.
Detecting the driver's vital signs can prevent safety hazards caused by sudden illness or drowsiness, which is essential for safe driving. In the traditional vital signs detection system for drivers, the fixed detection sensitivity will not adapt better to the complex and variable vehicle environment. Moreover, the complex vehicle environment will lead to the problem of the low SNR ratio of the detection signal, and the amplification will cause a distortion problem. The low SNR of the detection signal in complex environments and the signal distortion generated by the amplification. In this paper, the phase discrimination coefficient of the phase comparator is adjusted to make the system match different application scenes. It provides the flexibility to change the sensitivity and improve the dynamic detection capability. In addition, a digital controlled bias amplifier is used in the data processing part to adjust the bias and amplification of the signal. The impact of DC offset on the extraction of the effective signal is suppressed.
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