A Smart Menu Using Video Processing for Restaurants

Authors

  • Baswaraj Baswaraj Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Bhaskar Tigadi Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Jayanth M S Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Kallesh B S Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Bhagya Bhagya Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • Anand M Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India

Keywords:

Touchscreen, Cost-effective, Video Processing

Abstract

Restaurants worldwide are trying different techniques to gain customers. It could be with creative advertising or by providing high-tech interactions with the customers. Several restaurants have adopted table that include touchscreen (table - sized) with which one can place order and use the same as table. By keeping this in mind a tabletop based eco- friendly touch sensing system is proposed in this project. This screen is simply a paper placed on the glass table. The touch sensing based advanced menu ordering is the method by which anyone will select any items by their choice which are in menu. Here video processing is performed using MATLAB and Simulink to get the finger blob, help of camera placed under the table. The list of selected items and total amount is spoken to the user for their confirmation, after confirmation the same order will be sent to chef. With the proposed technique, we propose an e - wasteless, cost -  effective eco - friendly touch sensing system.

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Published

2022-06-13

How to Cite

[1]
B. Baswaraj, B. . Tigadi, J. M S, K. B S, B. Bhagya, and A. M, “A Smart Menu Using Video Processing for Restaurants”, pices, pp. 32-35, Jun. 2022.

Issue

2022: PiCES - Special Issue

Section

Articles

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Copyright (c) 2022 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES

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