Open AccessSurvey Paper on Touchify: Smart Solution to Convert Any Surface into Touchscreen.
Author(s) -
Pushpa Chutel,
Nandlal Khawle,
Shubham Wase,
Nayan Thakare,
Stuti Sahu,
Mohammad Ali Abbas
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-2500
Subject(s) - touchscreen , pointer (user interface) , cursor (databases) , computer science , artificial neural network , human–computer interaction , sonification , artificial intelligence , computer vision , computer graphics (images)
The project is to create affordable and easy to set up touch interface on any flat surface. The project mostly uses commonly available items that most people should have access to. Main part of this project is "runtime" application that uses two neural networks: vision based and sound based. Vision based neural network is used to track pointer on the screen. Sound network is used to detect events such as knocking on screen that will be recognized as mouse click and scratching that will be recognized as moving cursor with left mouse button pressed. Considering that the overall cost of this project is abysmal compared to commercially available touch boards, I think that it can be used for educational purposes in poorer or developing countries. We have used Open CV, Qtcreator, TensorFlow. It also can be used to digitize content of traditional "analog" blackboard.