Documentation of the Software Campus Project INDIGO
Until the submission of the project idea, a project outline must be developed and specified.
Development of a proposal for the first project idea
Creation of the technical concept including the picture to server connection, so the image data can be read and analysed.
To substantiate the benefit of the idea, an application scenario was created. This scenario is also utilized to improve comprehensibility.
Combines the application scenario with the individual aspects of the technical concept
This phase results in an initial proposal for a project outline.
Merging the contents of the previous phase.
Revision of the project description
The feedback of the supervisors is collected and merged so that I simplify the processing.
Not everything can be included 1:1 in the sketch Some things still have to be adjusted or deleted manually
With the help of the feedback the project outline can now be revised
Implementation using OpenCV
Implementation using Deep Learning techniques
The emergence of new technologies, in particular deep learning, should drive the prototype in this direction.
Based on the good results achieved so far with Deep Learning, the INDIGO prototype is also to be improved through the use of Deep Learning.
Convolutional Neural Networks are used which are trained with the existing data.
The Deep Learning based prototype has achieved good results, but will need further developed to refine it.
The project idea results from a master thesis where the topic was captured.
Feedback from the Software AG and the DFKI
Submission to DLR.
Final feedback and release of the project outline from the Software AG and the DFKI.