Project
# | Title | Team Members | TA | Documents | Sponsor |
---|---|---|---|---|---|
36 | Digitizing the Restaurant Experience: Reservations and POS |
Aman Kishore Jun Woo Seo Patrick Moore |
Sophie Liu | design_document1.pdf final_paper1.pdf other1.pdf presentation1.pptx proposal1.pdf |
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# Students Patrick Moore - ptmoore2 Aman Kishore - amank2 Junwoo Seo - jseo35 # Problem: Restaurants commonly struggle with expensive POS and reservation systems. Now, more than ever, restaurants are looking to cut costs and manage space in order to keep their doors open. Also, there is a growing concern for health and safety which hinders the efficiency of the restaurant and intimidates potential customers. # Solution Overview: Our solution to this ongoing problem is to create a comprehensive system to manage reservations and POS. By utilizing Computer Vision and historical data, we can provide customers with accurate and adaptive predictions for their wait time. The customer can reserve their table through a mobile application and, once seated, may order and pay through the application as well. The client [restaurant] will receive these orders from a client-facing side of the application. # Solution Components: [Application] - Building a POS for the restaurant by building a mobile/web application that will allow users to view the menu, order from the menu, and pay using their phones. Additionally, this application will display which tables are occupied, which tables are about to be available and which tables are available. [RFID Scanner] - Using an RFID scanner, the servers/bussers can scan an RFID tag on each table once the table has been cleaned and is available for another customer. This will be an accurate way to indicate when a table is free. [Computer Vision] - We will use computer vision to determine if a table is occupied or if it is empty. We will train a model on a dataset that we receive from restaurants and will be able to be used in conjunction with the RFID and the POS application to determine if the status of a table. Additionally, historical data will assist in determining accurate waiting times. [Thermal Sensor] - We will use a thermal sensor in combination with a camera to determine whether or not a particular table is occupied. This should provide more than enough assurance that the table is, in fact, occupied. Furthermore, this component will allow for some more complex processing to be performed on our PCB. # Criterion for Success: On a high level the goal of this project is to aid restaurants through this pandemic by reducing the amount of interaction between servers and customers. We hope to achieve an efficient and effective solution that increases a restaurant's revenue and improves the customers experience. |