Python and C++ projects.
To realize my bottle recycling robot project, I had to find a way to recognize bottles. This article will show how I installed a camera on the robot and the solutions I found to do visual recognition using: ImageAI lib, OpenCV and a Haar Cascade. Finally, how to convert the position of the bottles in pixels of the image into a real 3D position to guide the robot towards its goals.
Continue reading “Bottle recognition”
C# project on Unity.
This article shows how to use the VR and Leap Motion technologies to build a game to learn sign language.
Continue reading “VR game: Oculus & Leap Motion”
Python project, Keras.
This article will show how to get better results if we have few data:
1- Increasing the dataset artificially,
2- Transfer Learning: training a neural network which has been already trained for a similar task.
3- Unsupervised pre-training (if we have enough data but few have a label)
Continue reading “Transfer Learning & Unsupervised pre-training”
JAVA project.
Thanks to some famous AI algorithms, we will maximize the delivery profit of a Switzerland company.
Continue reading “Maximizing delivery profit thanks to AI”
Matlab project.
KNN is a learning algorithm which can be used for classification. The output is classified by a majority vote of its neighbors.
Continue reading “K Nearest Neighbour (KNN) from scratch”
Python project.
Thanks to the library Folium, some topo-json and data, we are able to display data on a map. In this article, we are going to display percentage of voters for different parties in each canton of Switzerland.
Continue reading “Data on maps”
Matlab project.
K-means algorithm classes n observations into k clusters in which each observation belongs to the nearest cluster.
Continue reading “K-means clustering algorithm from scratch”
Python project.
Conway’s game of life, simple rules lead to incredible things.
Continue reading “Conway’s game of life”
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