{"title":"A Smart IOT and AI Based Cooking System for Kitchen","authors":"Garima Shukla, Aradhna Saini, Shashank Rawat, Aditya Upadhyay, Garima Gupta, Manav Pal","doi":"10.1109/ICDT57929.2023.10150658","DOIUrl":null,"url":null,"abstract":"We contend that robotic manipulation is not necessary for human-machine collaboration. We outline a cutting-edge system architecture that uses computer vision to guide intelligent cooking interventions. This human-centered strategy encourages fluid, organic collaboration without the use of actuators. We demonstrate how automation that supports user-led operations can provide the picture databases required for future completely autonomous robotic systems and provide useful cooking assistance. We invite the research community to expand on our work by offering an open-source implementation of it. The emergence of intelligent appliances with multimedia capabilities has become a part of daily life as a result of the development of computer technology and the widespread use of the Internet. An intelligent smart kitchen appliance can help people live joyful lives because modern lifestyles are making people spend less time in the kitchen. The project's primary goal is to reduce human labor in the kitchen by automating as much as is practical. The goal of the smart kitchen project is to provide dependable performance at an affordable price for the users. The goal of this project is to create a smart kitchen that will make it easier for regular consumers to shop for groceries and other kitchen necessities. The smart kitchen also alerts the user to the items they'll need to buy and helps ensure their safety. This paper offers a novel solution to the challenge of group cooking. We recommend that, in order for the system to be viable in a dynamic environment, it should take a more passive role, supporting user-led actions as opposed to performing the chef's duties. With present technology, manipulation problems can be avoided by removing the robot arm. Instead, we make use of computer vision methods to create contextual instructions that the user can follow. We provide a system that promotes organic and dynamic interactions by balancing manual control with automatic temperature regulation.","PeriodicalId":266681,"journal":{"name":"2023 International Conference on Disruptive Technologies (ICDT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Disruptive Technologies (ICDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDT57929.2023.10150658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We contend that robotic manipulation is not necessary for human-machine collaboration. We outline a cutting-edge system architecture that uses computer vision to guide intelligent cooking interventions. This human-centered strategy encourages fluid, organic collaboration without the use of actuators. We demonstrate how automation that supports user-led operations can provide the picture databases required for future completely autonomous robotic systems and provide useful cooking assistance. We invite the research community to expand on our work by offering an open-source implementation of it. The emergence of intelligent appliances with multimedia capabilities has become a part of daily life as a result of the development of computer technology and the widespread use of the Internet. An intelligent smart kitchen appliance can help people live joyful lives because modern lifestyles are making people spend less time in the kitchen. The project's primary goal is to reduce human labor in the kitchen by automating as much as is practical. The goal of the smart kitchen project is to provide dependable performance at an affordable price for the users. The goal of this project is to create a smart kitchen that will make it easier for regular consumers to shop for groceries and other kitchen necessities. The smart kitchen also alerts the user to the items they'll need to buy and helps ensure their safety. This paper offers a novel solution to the challenge of group cooking. We recommend that, in order for the system to be viable in a dynamic environment, it should take a more passive role, supporting user-led actions as opposed to performing the chef's duties. With present technology, manipulation problems can be avoided by removing the robot arm. Instead, we make use of computer vision methods to create contextual instructions that the user can follow. We provide a system that promotes organic and dynamic interactions by balancing manual control with automatic temperature regulation.