Accelerating vehicle inspections

Automated processing of vehicle registration documents using artificial intelligence.
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About the project
On behalf of the leading German testing organization in security and safety matters DEKRA, an offline machine learning application for Android devices has been developed to automatically capture vehicle registration data.
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Technology
By using the mobile phone’s camera, the application scans and identifies each field and text of a respective vehicle registration. The read data is then transferred to an existing server application for further processing and compared with already stored DEKRA master data and updated if necessary.
feedback

The true complexity of the task only became apparent during the course of the project. Together with arconsis, the project was brought to a very good result.

Carsten Bäumer
Project Lead, DEKRA
feedback

The true complexity of the task only became apparent during the course of the project. Together with arconsis, the project was brought to a very good result.

Carsten Bäumer
Project Lead, DEKRA
Overcoming data challenges
The biggest challenge was the complexity, quality and variance of the data. The recognition and processing is carried out by neural networks that learn from corrections and constantly improve the system’s accuracy. Immediate updates make sure that employees always use the latest version of the trained model and thus improve the process, time and cost efficiency.
Data transfer to existing apps
Data transfer to existing apps
Offline functionality
Data transfer to existing apps
Project keywords
Tensorflow
Deep Learning
Android
Convolutional Neural Network
Recurrent Neural Network
Supervised Learning

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