SQIN Face Scanner

We have developed a face scanner that can recognize features of the user’s face. To do that we have written a plugin for Unity that uses Tensorflow lite to extract the 3d information of the user’s face. The technology is based on the work from Mediapipe from Google. This solution works in the editor and on mobile devices as well which do not natively support ARKit or ARCore.

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Visualization of the regional COVID-19 Development in Germany

The situation report from the RKI contains a figure which shows the development of the pandemic in Germany over the last 7 days. I wanted to know how this progresses over time and whether the outbreak clusters remain regional.

I used Pandas and Folium to recreate the figure and created this animation. See the code on Github to reproduce the result with current data.

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BeQu Product Scanner

We have developed a Product Scanner which can detect cosmetic products with the help of Machine Learning. This means the user does not have to search for a barcode. And often cosmetic products no longer have a barcode on the product itself.

By scanning the products, the user collects stars which can be exchanged for vouchers or cosmetic products.

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BeQu at Glow 2019

We showcased our new app BeQu at Glow 2019. For two days users could try out exclusive content and win products from our partner brands!

In our app, we link the right users with the products that interest them in the form of mobile games, user surveys and state-of-the-art augmented reality. BeQu turns simple shopping into an emotional, shareable experience that takes the pulse of the hard-to-reach millennials up to the Alpha generation.

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BeautyGAN

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Explored Make-Up Style Transfer with BeautyGAN.

The network is trained with make-up and non-make-up pictures. It’s possible to apply different make-up styles (eg. from Influencers from Instagram) to your image. See the picture for examples.