Restaurant Menu with Gesture Recognition

Abstract

The COVID-19 pandemic has brought back concerns of microorganism contamination into the public consciousness. Efforts have been made to ensure minimal chances of virus transmission by using movement control orders, encouraging social distancing, obligation to wear masks, and encouraging washing of hands so that it will reduce the chance of transmission. Indirect transmissions through surface contact are more difficult to prevent. There are many places in which people touch potentially infectious surfaces in the public, for example, ATM or touchscreen menu ordering at restaurants. Businesses and the general public are still looking for ways to minimize surface contact transmission. There have been efforts to minimize the chances of transmission through surface contact using an antiviral coating but it may be inadequate. The antiviral coating requires time to be effective. Repeatedly coating surfaces with sanitizer has high operational costs. These concerns are unlikely to disappear after the pandemic either, other viruses can be transmitted through this method. There needs to be a permanent solution. One such solution is using touchless technology such as hand gesture recognition. However, developing a hand gesture recognition algorithm can be a difficult task. The goal of the hand gesture recognition library is to facilitate the implementation of future applications. Gesture recognition is an example of a message window, icons, menus, pointer (WIMP) user interface that has poor functionality in the real world, especially when used in digital food restaurants. In this article, we will look at colorful hand gesture detection styles and finish evaluating the hand camouflage of our system. We describe a contactless digital restaurant menu system and find that the system passes stoner acceptance tests.