Case study Parkeerwekker

Parkeerwekker recognizes the scancar of the municipality and sends users a message when the scancar drives by their parked cars.
This concept received much media attention in the Netherlands, all major news outlets and TV stations covered the story. You can see a list of coverage here: Parkeerwekker media. In a matter of weeks the product gained thousands of interested users.

Real Time Video Analytics

For this system it is crucial to alert people on the exact time the scancar drives by or else they will get a fine. This is why build the system from the ground up to analyse the video feed in real time.

To prevent unnecessary fines for citizens we helped Vector Wise B.V. (the company behind Parkeerwekker) with the development of the algorithm.

“The scancar is a good example of a dishonest algorithm, it facilitates unnecessary fines and violates users privacy.”

- Parkeerwekker

MadeByHumans.ai assisted Parkeerwekker with the whole Deep Learning production pipeline. From data extraction and labeling of tens of thousands of images, to model training, validation and deployment. For the analyses of the videofeeds in real time we used Redis the ultra-fast in-memory database.

Tags: Deep Learning Real Time Computer Vision AI

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Krattenteller is a handy system that counts all crates in an image. This saves time and increases workers satisfaction on the workplace.

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#Computer Vision#Robotic Process Automation (RPA)