Build Self Checkout Machine & Virtual Keyboard with OpenCV
Learn how to build self checkout machine and virtual keyboard using OpenCV, CNN, Keras, Tkinter, and MediaPipe
4.00 (2 reviews)
2 150
students
4 hours
content
Aug 2024
last update
$19.99
regular price
What you will learn
Learn how to build self checkout machine using OpenCV and Tkinter
Learn how to build virtual keyboard using OpenCV, Tkinter and MediaPipe
Learn how to train self checkout model using Convolutional Neural Networks and Keras
Learn how to integrate virtual keyboard to self checkout machine
Learn how to create training data consisting of product images and products informations like product ID, product name, price, and discount
Learn how to create function to load product images from training data
Learn how to create function to detect object and recognize product
Learn how to create function for payment processing simulation
Learn how to design custom virtual keyboard layout
Learn how to integrate hand tracking and detection system to virtual keyboard
Learn how to design simple graphical user interface and create button using Tkinter
Learn about self checkout machine and retail automation, such as getting to know its use cases, technical limitations, and technologies that will be used
Learn how self checkout machines work. This section covers training data creation, preprocessing, model training, product scanning, extracting product details
Learn about virtual keyboard and how this technology enables users to type in using finger movement without physically touching the keyboard
Learn how to activate webcam using OpenCV
Learn how to conduct performance testing on self checkout machine and virtual keyboard
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6146019
udemy ID
25/08/2024
course created date
02/09/2024
course indexed date
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