(Please insert an screenshot of the Tool)
Type of tool: Web application
Required skills:
- Elementary User: No programming
- Advanced User: Python, Basic Deep Learning (PyTorch)
Short description of the tool:
- Detailed description: Data Extractor/MatrixDataExtractor_UserGuide.pdf
Disclaimer:
(Disclaimer Text)
How to use/download/access it:
e.g. Get the GitHub https://github.com/cslab-hub/MatrixDataExtractor
, copy
the code into your computer and start using
_Use case/problem:
Selecting material (recyclate) for specific product requirements
Description of the problem the tools solves:
[General] + [Tool-specific]
Contact person of the tool: A
Related tools:
- Analyse and Visualize your process data with data analytics -> Data Analytics
- Get guidance to set up a working data infrastucture -> Data Infrastructure Wiki
- Find the right sensor to survey your process -> Sensor Tool
- Improve internal information and material flow -> VSM
- Match material requirements with material properties -> Matrix
Tool Description#
Matrix Data Extractor (MDE) is a web-based application that identifies document table regions on PDF documents using Computer Vision based Deep Learning algorithm and extracts data to text files by applying Optical Character Recognition (OCR). It supports to transfer extracted data to MongoDB database tables. A search functionality is also provided to retrieve data on user interface based on Keyword matching (e.g. Manufacturer Name, Technical Datasheet Name, Keyword for Table Data).Guidelines#
Before getting started, please take a look at Data Extractor/MatrixDataExtractor_UserGuide.pdf and make yourself familiar with how to use the tool.
Getting Started#
The code for the tool is available at https://github.com/cslab-hub/MatrixDataExtractor
