中圖分類號(hào)：TN215；P315.69
文獻(xiàn)標(biāo)志碼：A
DOI: 10.16157/j.issn.0258-7998.222979
中文引用格式： 焦翔，趙文策，蒯亮，等. 基于卷積神經(jīng)網(wǎng)絡(luò)的紅外監(jiān)測系統(tǒng)設(shè)計(jì)[J]. 電子技術(shù)應(yīng)用，2023，49(4)：83-87.
英文引用格式： Jiao Xiang，Zhao Wence，Kuai Liang，et al. Design of infrared monitoring system based on convolutional neural network[J]. Application of Electronic Technique，2023，49(4)：83-87.

Design of infrared monitoring system based on convolutional neural network

Abstract： For the effective, convenient and unified management of materials about military logistics, this paper studies and designs a monitoring system for monitoring the presence of items. The system uses the motherboard of Raspberry Pi to collect the level signal of the infrared sensor about the presence of the items and the images taken by camera of the items. Then it converts the data into the general data frame, and sends the frame to the data processing module through the source-specific multicast. Finally, the image recognition based on the convolutional neural network is used to judge the correctness of the item, and display its status in real time through the monitoring interface. It has been verified that the system can ensure the real time of data acquisition and the accuracy of identifying items. It has strong practicability.

Key words : Raspberry Pi；infrared detection；condition monitoring；image recognition；convolutional neural network