S. Aparna Devi, P. Hemamalini, S. Veena, Swagata B. Sarkar
{"title":"食品中异物的无损检测方法","authors":"S. Aparna Devi, P. Hemamalini, S. Veena, Swagata B. Sarkar","doi":"10.1109/IC3IOT.2018.8668118","DOIUrl":null,"url":null,"abstract":"Millions of tons of food are processed and packaged by individuals and machines. As such, the possibility exists that food manufacturers and the suppliers will not catch every object that does not belong in the product. When a person consumes a food that has a foreign object in it, he or she may suffer a physical or emotional injury. This paper describes a working prototype that non-destructively identifies the presence of foreign object in food products. The infrared sensor module consists of a source and detector which will detect the presence of foreign object and thereby sends the signal to the PIC16F877A microcontroller which thereby indicates the defective edible and non-defective and edible food products using LED indications.","PeriodicalId":155587,"journal":{"name":"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Destructive Method of Foreign Object Detection in Food Products\",\"authors\":\"S. Aparna Devi, P. Hemamalini, S. Veena, Swagata B. Sarkar\",\"doi\":\"10.1109/IC3IOT.2018.8668118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Millions of tons of food are processed and packaged by individuals and machines. As such, the possibility exists that food manufacturers and the suppliers will not catch every object that does not belong in the product. When a person consumes a food that has a foreign object in it, he or she may suffer a physical or emotional injury. This paper describes a working prototype that non-destructively identifies the presence of foreign object in food products. The infrared sensor module consists of a source and detector which will detect the presence of foreign object and thereby sends the signal to the PIC16F877A microcontroller which thereby indicates the defective edible and non-defective and edible food products using LED indications.\",\"PeriodicalId\":155587,\"journal\":{\"name\":\"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3IOT.2018.8668118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Communication, Computing and Internet of Things (IC3IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3IOT.2018.8668118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Destructive Method of Foreign Object Detection in Food Products
Millions of tons of food are processed and packaged by individuals and machines. As such, the possibility exists that food manufacturers and the suppliers will not catch every object that does not belong in the product. When a person consumes a food that has a foreign object in it, he or she may suffer a physical or emotional injury. This paper describes a working prototype that non-destructively identifies the presence of foreign object in food products. The infrared sensor module consists of a source and detector which will detect the presence of foreign object and thereby sends the signal to the PIC16F877A microcontroller which thereby indicates the defective edible and non-defective and edible food products using LED indications.