Build Self Checkout Machine & Virtual Keyboard with OpenCV
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- At udemy.com you can purchase Build Self Checkout Machine & Virtual Keyboard with OpenCV for only $449.00
- The lowest price of Build Self Checkout Machine & Virtual Keyboard with OpenCV was obtained on October 3, 2026 11:37 am.
Original price was: $49.99.$10.00Current price is: $10.00.
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Build Self Checkout Machine & Virtual Keyboard with OpenCV
Original price was: $49.99.$10.00Current price is: $10.00.
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Build Self Checkout Machine & Virtual Keyboard with OpenCV
★★★★★
$449.00 in stock
Udemy.com
as of October 3, 2026 11:37 am
Learn how to build self checkout machine and virtual keyboard using OpenCV, CNN, Keras, Tkinter, and MediaPipe
Created by:
Christ Raharja
Ex Technology Risk Consultant, and E-commerce enthusiast
Ex Technology Risk Consultant, and E-commerce enthusiast
Rating:4 (2reviews)
2149students enrolled
What Will I 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
Requirements
- No previous experience in computer vision is required
- Basic knowledge in Python and object detection
Target audience
- People who are interested in building self checkout machine and virtual keyboard using OpenCV and MediaPipe
- People who are interested in leveraging computer vision and object detection for retail automation
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