Alexander Knips

I've been working on a project in the area of computer vision and warehousing. Using a Raspberry Pi with a camera, movements in front of the camera are registered. Above a specific threshold, videos are recorded for further analysis.

The videos are sent to a server where multiple micro-services will do: enhance the video, extract meaningful pictures, decide the direction of movement, and the category of the object using a trained neural network. A web application will display the results and whether the objects are taken out of the warehousing system or put in.

Technology Used: C#, Python, Cloud, OpenCV, GPUs, Machine Learning, Neural Network

This application calculates the preferential origin of export goods based on the free trade agreements between the involved countries.

Currently, the focus is on Switzerland and EU countries. Customers can encompass the application into their current ERP systems using our HTTP/JSON API. The underlying rule system is based on the legal documents and official spreadsheets of the involved free-trade agreements. For the parsing of these documents, natural language and EXCEL parsing are used. The results can be given as JSON and an additional PDF file.

Technology Used: Python, Django, Django REST Framework, PyParsing, PDF, Excel Parsing

Our client's software currently allows their clients to efficiently plan and track the maintenance of gravesites and their decorations.

Additional services are often required and the client's customers currently keep track of those changes by printing out lists and keeping notes. Our client wanted the feature to track the changes for each planting more interactively. By deploying the mobile app in conjunction with a desktop app, we enabled the customers to track the planting process more efficiently.

The mobile app for iOS and Android features offline capability, cloud synchronization, and a desktop user interface to check the input data.

Technology Used: C#, Xamarin, IOS, Android, WPF, Cloud, Azure

A small app to track our LEAN business model canvasses more effectively. Data is stored offline using a local NoSQL storage.

Technology Used: JavaScript, Aurelia, Electron, NoSQL

This was a hobby project.

An app to connect customer data and corresponding image data. If images are taken in a specific order, the process can also be automated. This was a desktop application.

Technology Used: C#, WPF, SQL, EF, MVVM

During my Ph.D. studies at the Technical University of Munich, I wrote my dissertation: Recognition of UV-induced DNA Damage—A Molecular Dynamics Analysis.

In 2008 to 2009, I earned a high distinction average while studying physics from the Australian National University based in Canberra, Australia.