Announcement We are happy to announce, our wireless optical communication system for urban environments KORUZA has been granted funding from the European Union’s Horizon 2020 research and innovation programme within the framework of the NGI Pointer project. Thanks to NGI Pointer, who we have been recognized as Next Generation Internet (NGI)…

Author: Marko Sagadin, Embedded Machine Learning Engineer at IRNAS Introduction I recently wrote a Master’s thesis on detecting elephants from thermal cameras, with the help of Machine Learning. Thesis is publicly available on my GitHub repository. Classifying images has come a long way in the last decade; at this point, it…

Power consumption optimization is at the heart of IRNAS’ development of advanced applied IoT solutions. As such, we are always working actively to optimize our workflows and automate testing with continuous integration. …

For the past two months, IRNAS and Smart Parks, in partnerships with Hackster.io, have been working on building the next generation OpenCollar ElephantEdge tracker, closely looking at requirements and features that make this a success. Two key concepts are driving it, rock-solid field performance and an intuitive user experience. …

This decade started with a rapid growth of connectivity options such as BLE5, LoRaWAN, NB-IoT, satellite technologies and many other exciting options. …

IRNAS and Smart Parks have been working on designing the next generation of open-source tracking solutions for national park management and wildlife protection for the past two years and the deployment of these solutions in the field has proven very valuable. Webinar Event info First OpenCollar for Elephant successfully deployed in…

At IRNAS we have set up a unique combination of development and manufacturing capabilities, empowering our rapid innovation and taking customers from ideas to batches of devices in minimal time. Having our own infrastructure gives us a high level of control over our in-house manufacturing and assembly processes. …

Author: Vid Rajtmajer, student intern at IRNAS Introduction Fault-tolerant solutions result in happy users, which remain oblivious to certain system failures if they are recovered in time. At IRNAS we rapidly develop advanced applied solutions and often design complex systems with rapid innovation. In experimental phases of the projects, these get…

Author: Marko Sagadin, student intern at IRNAS — Welcome to the second article about running machine learning algorithms on microcontrollers. In the previous article, we have created and trained a simple Keras model that was able to classify 3 different classes from CIFAR-10 dataset. …