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应用树莓派设计了一种可以自动识别顾客是否佩戴口罩的仿真装置.首先，超声波传感器检测到有人经过时，调用树莓派摄像头进行拍照；照片从客户端传输到服务端计算机，树莓派LED闪烁1s作为提示.运用SSD目标检测算法进行人脸是否佩戴口罩的检测；最后，服务端将检测结果反馈给客户端，如检测到人脸佩戴口罩，舵机会按正反顺序各旋转90°,模拟控制门的开和关，检测到未佩戴口罩舵机不转动表示装置始终呈关闭状态.经测试，SSD模型mAP值达到97.21%,装置可以实现较好的检测效果.
Abstract：Raspberry Pi is used to design an automatic door simulation device that can automatically identify whether customers wear masks. When the ultrasonic sensor detects someone passing by, it calls the Raspberry Pi camera to take a picture, the picture is transmitted from the client to the server computer, and the Raspberry Pi LED flashes for 1 second as a reminder. The SSD target detection algorithm is use to detect whether the face is wearing a mask. Finally, the server will feedback the detection result to the client. If someone is detected without wearing a mask, the servo does not rotate, indicating that the automatic door is always closed. After testing, the mAP value of the SSD model reaches 97.21%, and the device can achieve a better detection effect.
[1]NADAFA R A,HATTUREA S M,BONALA V M,et al.Home security against human intrusion using raspberry Pi[J].Procedia Computer ence,2020,167:1811-1820．
[2]JOZEF HRBCEK,EMíLIA BUBENíKOVá．Embedded image processing on raspberry Pi connected to the industrial control system[J].Multidisciplinary Aspects of Production Engineering,2019,2(1):62-71．
[3]JAEPUNG AN,SANGHUN PARK,INSUNG IHM.Construction of a flexible and scalable 4D light field camera array using raspberry Pi clusters[J].Springer Berlin Heidelberg,2019,35(10):1475-1488．
[4]BHARTIYA C,ASHISH P.Image processing based rose harvesting system using raspberry Pi[J].International Journal of Engineering&Technical Research,2015 (4):1049-1052．
[5]SHEN MINGQI,WANG YUYING,JIANG YANDAN,et al.A new positioning method based on multiple ultrasonic sensors for autonomous mobile robot[J].Sensors,2019,20(1):17．
[6]邓文涛，田昌，赵娟．基于AT89C52的智能避障小车设计[J]．科技创新导报，2019,16(30):50,52．
[7]罗莎莎．基于MobileNet-SSD模型的道路目标识别研究及其安卓应用开发[D]．广州:华南理工大学，2019．
[8]WANG Y Y,WANG C,ZHANG H.Combining a single shot multibox detector with transfer learning for ship detection using sentinel-1 SAR images[J].Remote Sensing Letters,2018,9(8):780-788．
[9]HOWARD A G,ZHU M,CHEN B,et al.Mobile Nets:Efficient convolutional neural networks for mobile vision applications[J].Computer Science,2017(2):1-9．
[10]HU XUN,LI HONG,LI XINRONG,et al.MobileNetSSD microscope using adaptive error correction algorithm:real-time detection of license plates on mobile devices[J].IET Intelligent Transport Systems,2020(2):1-9．
[11]任锴，陈俊，叶宇煌，等．基于SSD-MobileNet的火情检测预警系统[J]．电气开关，2020(1):34-38.
基本信息:
DOI：10.13291/j.cnki.djdxac.2022.01.021
中图分类号:TP391.41
引用信息:
[1]张丽艳,赵艺璇,李林.一种基于树莓派的口罩自动检测装置[J].大连交通大学学报,2022,43(01):111-114.DOI:10.13291/j.cnki.djdxac.2022.01.021.
基金信息:
辽宁省教育厅高等学校科学研究计划资助项目(JDL2020029)
2020-06-13
2020
2020-07-16
2020
1
2022-01-11
2022-01-11