What will the smart restaurant look like in the future?

Updated on Restaurant 2024-07-13
5 answers
  1. Anonymous users2024-01-24

    Not long ago, when Ma Yun, the founder of Alibaba, accompanied Yuan Jiajun, the governor of Zhejiang Province, to explore the 2017 Hangzhou Yunqi Conference in advance, he felt a "meal order" and "leave after eating" in the "Future Smart Restaurant".

    According to the on-site staff, the restaurant does not have an orderer or cashier, but uses an oversized touchscreen table to achieve all the functions described by Atif Rafiq, including self-service ordering, personalized recommendations, and pre-dinner games.

    Once the guest is seated, the system will automatically identify them. Customers can tap the desktop or gesture to open the smart ordering interface to order, and the system will make personalized recommendations based on your historical consumption records. You can also see gorgeous AR interactive effects when serving.

    After the meal, you can leave the store directly, and with the help of Alipay's face recognition and real-name authentication capabilities, Alipay's account will automatically complete the discount verification and deduction.

  2. Anonymous users2024-01-23

    Now there are smart restaurants, try the upper seat bus to order.

  3. Anonymous users2024-01-22

    Didn't you just come out with the news of a smart restaurant two days ago, flip it up yourself.

  4. Anonymous users2024-01-21

    Unmanned Settlement Desk Please refer to the following information

    Gezi visual settlement system mainly relies on image processing technology to achieve a series of functions such as rapid settlement. The core technology of this system is the combination of self-developed image processing algorithm and the current mainstream convolutional neural network algorithm.

    Gezi image processing algorithm is an algorithm that uses a machine to replace the human eye for measurement and judgment. The captured target is converted into an image signal through the camera, transmitted to the image processing algorithm, the morphological information of the photographed target is obtained, and the morphological information is converted into a digital signal according to the morphological information; Image algorithms and deep neural networks perform various operations on these signals to extract target features, and then control the on-site equipment actions according to the discriminant results. The main function of the algorithm is to extract the quantity and type of tableware in the tableware, and then calculate the meal fee and output it to the display and IC payment.

    The specific process is as follows:

    In addition, the combination of dish identification can also be combined with health data and catering data for analysis.

  5. Anonymous users2024-01-20

    Artificial intelligence bar.

    It's basically automated.

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