As a startup in computer vision, danaXa is set out to develop AI-based software by implementing the latest Computer Vision and Machine Learning methods for detection and tracking purposes. Various businesses and organisations such as fast-food chains, retails, gyms, hospitals, parking lots, etc. can benefit from our services to enhance their performance, reduce costs, improve customer relations and so on. To satisfy such a market by considering the flexibility of the software, danaXa has so far developed a core tech, consisting of three modules for training procedure as well as a tool for annotating data:* dTrack (for human detection and tracking)* dObject (for object detection and tracking)* dAction (for analyzing the interaction between humans and objects)* dLabel (a tool for labeling raw data)

I helped and supported the growth of the usage of Unibap's products which are about vision systems in robotics, and used technical knowledge to promote, build, and maintain business relationships.

I was working at CSIRO within the computer vision group lead by Dr Lars Petersson. My main research was about the distributed systems for data collection for autonomous driving.

With distributed smart cameras, we detect road asset objects for road authorities. The main research is about collaboration between many cameras to construct a 3D map of the detected objects. I developed a mobile app using Android to collect information needed from road scenes as we move toward more of distributed mobile applications from the traditional models. I also developed a server for our app with PostgreSQL and Python to analyse the data from the app.

Developing Mobile Applications with C#.NET and SQL