Dipl.Ing. Gert Mathyssen

Neural network for object recognition

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A Belgium robotics company hired me to solve a problem: Crates filled with toys are coming by on a conveyor belt, because the crates will go into an automated storage unit they need to get a label of what is inside.
This is where my solution comes in. I've built a deep convolutional neural network (DCN) with Tensorflow and trained it with different pictures from the items.
On the factory flow a simpel PC takes a picture from the content of the crate. By running the DCN with this picture (inference) we can determine what items are in that crate.

You can find below a demo video I have made for the customer, as a prove of concept. The demo only works with 5 different items, the final neural network in production can distinguish between 25 different items.

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Market Magnify

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This is one of my bigger projects. I did everything myself, this includes writing the:

• search algorithm to find the events in the big dataset
• python back end with PortgresSQL database
• front end in HTML and javascript with Django
• Bokeh visualisation and the bokeh server behind it

I've built this personal project as a potential cash cow project, but unfortunately I had to shut it down because there was not enough traction. The connection with the stock exchange is cancelled, so there is no new realtime data anymore.
You can visit the website here.

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Survey data analysis

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The Flying Health Incubator hired me to do analytics on survey data they collected earlier. After cleaning and prepping the data I made a pandas dataframe and a correlation matrix. The correlation matrix gave a very nice overview, and it made several trends visible. After choosing the most interesting correlations with the Management of the Flying Health Incubator, I made dynamic graphs for the most interesting correlations. (Note: the data in the graphs is random)

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Sport data visualisation

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This was a small project. A customer had a dataset of a number of sport games, and needed some data visualisation. I’ve used a Jupiter Notebook to do the data wrangling and prepping for the visualisations below. The library used to do the visualisations was Seaborn.

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Air sensor calculations

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On Upwork a private person asked me the question if I could automate the data processing of an air sensor. I was happy to do this job and it ended up to be a very fun one, this because I could combine my engineering and programming skills. 
Because the costumer needed the option to still tweak and change my formulas in production we decided to work with a Jupiter Notebook. The graphs below were the results after the calculations.

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Project Title

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Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!

• Client: Start Bootstrap
• Date: April 2014
• Service: Web Development

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Project Title

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Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!

• Client: Start Bootstrap
• Date: April 2014
• Service: Web Development

Close

Project Title

---

Use this area of the page to describe your project. The icon above is part of a free icon set by Flat Icons. On their website, you can download their free set with 16 icons, or you can purchase the entire set with 146 icons for only $12!

• Client: Start Bootstrap
• Date: April 2014
• Service: Web Development

Close