A method of restaurant allocation based on image recognition
An image recognition and restaurant technology, applied in the field of image recognition, can solve problems such as lack of order adjustment of dishes and uncertain threshold of waiting time
Active Publication Date: 2018-04-24
嘉兴乌镇汉佳科技有限公司
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Problems solved by technology
[0009] However, due to the different psychological states of customers and the different expectations of their orders, the waiting time threshold for customers to feel dissatisfied is uncertain. Some customers may not be able to wait for 10 minutes, while some customers can tolerate more than half an hour.
The prior art lacks a relevant mechanism for adjusting the order of dishes according to the emotions of customers in the restaurant
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[0035] The implementation of the image recognition-based restaurant allocation system of the present invention will be described in detail below with reference to the accompanying drawings.
[0036] A restaurant, also called a restaurant, restaurant or restaurant, is a place where customers buy and enjoy cooked food and drinks. The term restaurant covers eating establishments that are located in different locations and serve different styles of cuisine.
[0037] The restaurant mainly provides dishes and services for tourists and local residents, and sometimes provides customers with additional services for accommodation. Restaurants can be divided into different types of restaurants according to their main business items (including Chinese food, Western food, Japanese food, Korean food, etc.), including hot pot restaurants, barbecue restaurants, etc.
[0038] At present, the cooking order of restaurants generally adopts the following mode: put all the ordered items on all din...
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The invention relates to a method of restaurant deployment based on image recognition. The method includes using the restaurant deployment system based on image recognition to automatically advance the order of dishes in the menu ordered by the customer at the dining table when the customer is in a restless state. The system includes high-definition images Capture equipment, feature storage equipment, customer identification equipment, dining table data collection equipment and kitchen control equipment, high-definition image capture equipment is used to capture images of scenes in restaurants to obtain high-definition restaurant images, and feature storage equipment is used to store customer shapes in advance Features, the customer recognition device is used to determine the customer target of the high-definition restaurant image based on the customer's appearance characteristics, and also determine the dining table number to which the customer target belongs based on the position of the customer target in the high-definition restaurant image, and the dining table data collection device is used to collect the points of each dining table in the restaurant The menu, the back kitchen control device is used to determine the serving order of each dish in the menu ordered by the dining table to which the customer target belongs based on the menu ordered by each dining table.
Description
technical field [0001] The invention relates to the field of image recognition, in particular to a method for allocating restaurants based on image recognition. Background technique [0002] Restaurants range from budget eateries for lunch for nearby commuters to fine-dining restaurants for fine dining and wine. According to the style of the restaurant, the clothing of customers also varies from light clothing to formal clothing. [0003] According to the size of the hotel, it can be divided into the following types: [0004] 1. Extra-large restaurants: refers to restaurants with a business area of more than 3,000 square meters (excluding 3,000 square meters), or a restaurant with more than 1,000 dining seats (excluding 1,000 seats). [0005] 2. Large restaurants: refers to restaurants with a business area of 500 to 3,000 square meters (excluding 500 square meters, including 3,000 square meters), or a restaurant with 250 to 1,000 dining seats (excluding 250 seats, incl...
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IPC IPC(8): G06K9/00G06K9/32G06Q10/06G06Q50/12
CPCG06Q10/0631G06Q50/12G06V40/10G06V40/20G06V20/62G06V30/10
Inventor 尤云兴
Owner 嘉兴乌镇汉佳科技有限公司