基于物联网和人工智能的厨房烹饪系统

Garima Shukla, Aradhna Saini, Shashank Rawat, Aditya Upadhyay, Garima Gupta, Manav Pal
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摘要

我们认为机器人操作对于人机协作是不必要的。我们概述了一个尖端的系统架构,使用计算机视觉来指导智能烹饪干预。这种以人为本的策略鼓励流畅、有机的协作,而无需使用执行器。我们演示了支持用户主导操作的自动化如何为未来完全自主的机器人系统提供所需的图像数据库,并提供有用的烹饪协助。我们邀请研究社区通过提供开源实现来扩展我们的工作。随着计算机技术的发展和互联网的广泛使用,具有多媒体功能的智能家电的出现已经成为人们日常生活的一部分。现代生活方式使人们在厨房里花费的时间越来越少,智能的智能厨房电器可以帮助人们过上快乐的生活。该项目的主要目标是通过尽可能多的自动化来减少厨房中的人力劳动。智能厨房项目的目标是以合理的价格为用户提供可靠的性能。这个项目的目标是创造一个智能厨房,让普通消费者更容易购买杂货和其他厨房必需品。智能厨房还会提醒用户他们需要购买的物品,并帮助确保他们的安全。本文提出了一种解决集体烹饪挑战的新方法。我们建议,为了使系统在动态环境中可行,它应该扮演更被动的角色,支持用户主导的操作,而不是执行主厨的职责。在现有的技术条件下,移除机械臂可以避免操作问题。相反,我们使用计算机视觉方法来创建用户可以遵循的上下文指令。我们提供了一个系统,通过平衡手动控制和自动温度调节来促进有机和动态的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart IOT and AI Based Cooking System for Kitchen
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.
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