Alerting Spoilage of Food in Refrigerator
C.Kalpana1, Atchaya.G2, Suprapraba.S3, Suruthi.N4, Sindhuja.S5
1C.Kalpana(Asst.prof)*, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry.
2Atchaya.G, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry.
3Suprapraba.S, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry.
4Suruthi.N, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry.
5Sindhuja.S, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 1720-1725 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4615049620/2020©BEIESP | DOI: 10.35940/ijitee.F4615.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The era of smart homes wouldn’t be complete without intelligent refrigerators. Thus we have proposed an idea for detecting the food kept in the refrigerator and alerting the user on their spoilage which involves all the processes of ML and IoT. In places where large stocks of food are stored, manual maintenance is very hard and also when they are transported to long distant places from the cultivated lands to the end-users, they get spoiled due to lack of governance. The existing systems have provided a solution forthis and we decided to give thisfacility forthe working women who have very little time to do their household. This system helps in preventing other items in the refrigerator from the fungal attack caused by the affected ones. The solutions provided by the existing systems recommend sensors to detect the food items. Each food item might need a different sensor and hence this might lead to a lot of hardware components to be added to the refrigerator. Thus our system uses ML prediction methods like image processing. Finally, the notification of the spoiled food is intimated to the user by displaying the message in the refrigerator door.
Keywords: Raspberry Pi, Raspberry Pi Camera Module, R-CNN.
Scope of the Article: Camera Module