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Optical Recognition

Our optical recognition software is designed for users to be able to automatically upload videos for analysis, extract key games data, store the data in a database, and utilize a dashboard so that they can use the system.

Installation

We have registered our software to a domain name using domain registrar NameCheap so no installation and cloning repository is required. Below is the link to our optical recognition software:

https://opticalrec.co.uk/main/

Usage

  1. Navigate to the link shown above
  2. If an account has been made, sign in by clicking "Login" in the profile tab. Else, sign up by clicking "Register" in the profile tab.
  3. Go to the "Upload" tab and select a name and the video file to be uploaded to the dashboard.
  4. Crop the frame that you want to be analyzed by using the cropper tool. Multiple croppings of different frames are also possible.
  5. Once you have decided all the frames that you want to be analyzed, click "Finished"
  6. You will be directed to the "Video List" tab. Here, all of your videos are stored. Available options are to crop another frame again, delete the video, or extract the data to the dashboard.
  7. If data is extracted, you will be redirected to the "Dashboard" tab and the data can be seen in a table format.
  8. Click "Export All to CSV" if you want the data to be downloaded to your computer in a CSV format.

Authors and acknowledgment

This project is the combined work of Zach Larsen, Howard Kang, Imran Lawal, Robbie Hill and Ikenna Nnaji. Special thanks to our supervisor John Drake for his guidance and support and to Jeremy Levesley for being our client for this project.

About

Group project for year 2. Using tensorflow to recognize numerical data.

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