KORUZA is the first OSHWA certified open source hardware from Slovenia!
27.01.2022
KORUZA has become the first piece of OSHWA certified open source hardware from Slovenia in January 2022!
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KORUZA has become the first piece of OSHWA certified open source hardware from Slovenia in January 2022!
The two very close cousins of efficient engineering development are production and component supply. Rutronik, the most reliable component supplier in the region, and FTA, a small, yet elite PCB
IRNAS and Nordic continue the highly technical cooperation for the most advanced solutions among Nordic-based products.
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
IRNAS Location: New Office, Manufacturing Facility, and Testing Premises as of June 2021!
Po COVID-19 pavzi 2020 bo IRNAS spet med razstavljavci na dogodku 4YFN – MWC 2021 v Barceloni od 28. junija – 1. julija 2021! Poiščite nas na stojnici 2F12.6 v
After 2020 COVID-19 break, IRNAS will be among 2021 4YFN – MWC exhibitors in Barcelona again from June 28 – July 1 2021! Meet us at booth 2F12.6 in Hall
KORUZA, the open-source free-space optical FSO wireless optical data transmission technology by IRNAS, has been upgraded to KORUZA v2 Pro and KORUZA v2 Transparent, adding new features, improving the existing,
With KORUZA, our open-source wireless optical communication system for urban environments, we have attended the NGI TETRA Bootcamp and have been selected for the Business Acceleration Mentorship Programme!
With RAM-1, an electrical grid monitoring system with on-device machine learning, we can directly improve the environmental and public security of regions where it is deployed.
KORUZA Pro, the first affordable and open source free-space optical communications system, has been presented in a lecture on the 25th SOK seminar on optical communications in February 2021.
When building an IoT device, first we have to focus on the purpose of the device. Will it serve a single-purpose application or is it meant for more complex operating,
With RAM-1, a cellular IoT- and BLE- powered device, power grid operators will be able to monitor cases of faults in the power grid instantly, and thus take action immediately.
IRNAS has been granted funding from the European Union’s Horizon 2020 research and innovation programme within the framework of the NGI-POINTER, for KORUZA, our open-source wireless optical communication system for
Detecting elephants from thermal cameras, with the help of Machine Learning. Design, implementation and evaluation of Machine Learning models running on a general-purpose microcontroller under low-power conditions.
Power consumption optimization is at 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
LoRa Alliance® and Wireless Broadband Alliance Demonstrate Increase in Market Opportunity and ROI for IoT Deployments that Combine LoRaWAN® and Wi-Fi
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
We are proud to let you know that we’ve partnered with Edge Impulse and ARM to deliver efficient, power-optimized on-device machine learning solutions so we can increase the added value
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
In this blog post, we will show how to design mechanical parts to ensure repeatable and robust automated glue dispensing. This way we can save significant amounts of time on
There is a common problem with having many devices on the same I2C line. In case one of them fails, it can interrupt communication between the master and the other
Inovacijsko podjetje IRNAS, ponudnik pametnih IoT rešitev za industrijske aplikacije, in visokotehnološko podjetje Bourns, vodilno na področju proizvodnje prenapetostnih keramičnih zaščitnih komponent, sta v sklopu sodelovanja na projektu NexGenHVEC združila
Part 2 of article series about running machine learning algorithms on microcontrollers. In this part, we deploy the machine learning model to a microcontroller and compare it with results in
In this two-article series we will see how to train a machine learning model and deploy it to a microcontroller. For that, we will use TensorFlow Lite framework.
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