In study of Electric Impedance Scanning Imaging (EISI), some scholars believe that low electrical impedance of skin layer will reduce detection sensitivity of imaging system. However, in the previous numerical model analysis, there is little work to analyze the influence of skin layer. Based on actual size, electrical parameters of Chinese female breasts and detection probe structure, static electric field equation was solved by finite element method. Results show that skin layer not only reduces current detected by probe, but also significantly reduces sensitivity of probe. The smaller the conductivity of skin layer, the more obvious decrease in sensitivity. In practice, if conductivity of skin layer can be improved by some means, sensitivity of probe can be increased. Furthermore, if thickness and conductivity parameters of skin layer can be accurately obtained, and then influence of skin layer in overall EISI image can be eliminated, imaging quality and detection sensitivity of system should be significantly improved.

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Facing the normalization of epidemic situation in COVID-19 at present, how to effectively prevent and control the epidemic situation is very important. The traditional face recognition method is short in recognition distance and can’t recognize whether to wear a mask, so it is not suitable for today’s environment of epidemic prevention. In this paper, MLX90614 high precision infrared probe is used. According to the principle that the infrared energy is focused on the photodetector and converted into corresponding electrical signals, using gradient calibration and linear data acquisition method to program, the function of high-precision long-distance contactless body temperature measurement is realized. The face recognition function uses the camera to scan a number of key attributes in the face, uses advanced mathematics to carry out three-dimensional modeling, establishes the curvature, gradient, curl, angle and distance data corresponding to the feature points, and iteratively compares them with the feature values to realize the recognition of the face and whether to wear a mask or not. Finally, K210 intelligent chip is used as the main controller to connect with each part to realize its function, and the actual verification test is carried out, and good results are achieved.

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