머신러닝 프로젝트 – CNN과 아두이노를 이용하여 글자 이미지를 인식하고 국가별로 분류하기

You are free to use PPT, but please make sure to use copyright.The capacity is too big to upload ppt files.I will send you the PPT file if you leave your email address in the comments.

Using CNN and Aduino, we did a project to categorize text images by country.

Project Table of Contents

Project Objectives – The video on ppt was posted at the bottom.

Project Objectives – The video on ppt was posted at the bottom.

Project Objectives – The video on ppt was posted at the bottom.We proceeded with the project for image data processing method, CNN, and Aduino practice.Description of the language image data used for learning.(I couldn’t find the file I wanted on the Internet, so I made my own data.) Use images with 5 fonts for 26 characters as study data for each country (130 image data for each language)Description of the language image data used for learning.(I couldn’t find the file I wanted on the Internet, so I made my own data.) Use images with 5 fonts for 26 characters as study data for each country (130 image data for each language)Python code, a code that converts images into arrays, processes them, and stores them (description of each code is annotated).Python code, a code that converts images into arrays, processes them, and stores them.Python code, a code that converts images into arrays, processes them, and stores them.Python code. CNN class part. Imported data for learning, created model, and initialized learning rate to 0.001.Python code. CNN class part.CNN neural network structure.Python code, the code that performs learning and prediction.Python code.Main part, the part that creates the model, performs learning, and evaluates.Python code.Aduino serial communication settings. The part where you read the camera.Python code, the part where actual data is received, processed, and predicted.The setting part of the aduino code serial communication and servo motor.Function for aduinocode servo motor operation.Function for aduinocode servo motor operation.The aduino code loop().A part of the servo motor that initializes the position of the servo motor and operates the servo motor by receiving a language classification value by serial communication.Aduino code loop(). The part of the servo motor that returns to its original position.the mechanical structure of an aduino. It’s made of hardboard paper and tape… It’s crude… low cost.aduino mechanical structureADUINO MACHINE STRUCTURE ADUINO WIRINGPython code.Data.py code. Code before rotating the image.Python code.Data.py code. Code after rotating the image.Reason for adding rotated image data.Python code.Data.py code. The code before and after image data binaryization.Results before and after binaryizing image data.perspective on the binary evolution of image dataa conclusionWhat I learned and felt.Thank you for reading. You can see the data and code you used in the github below.https://github.com/MLlounge/ML-Project/tree/master/Basic%20Project/CNN%20-%20Distinguish%20language%20according%20to%20charactersCreate an account at ML-ProjectGitHub.github.com to help develop MLOUNGE/ML-ProjectCreate an account at ML-ProjectGitHub.github.com to help develop MLOUNGE/ML-ProjectCreate an account at ML-ProjectGitHub.github.com to help develop MLOUNGE/ML-Project