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.
The Things Conference 2021: Compact Multi-Featured IoT Devices for Industrial and Environmental Applications
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, even interactions like data exchange, machine learning and upgrades? How much added value per miliwatt hour of battery consumption do you create with yout IoT device?
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.
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 integration, this time with Nordic Semiconductor’s new Power Profiler Kit II (PPK2).
LoRa Alliance® and Wireless Broadband Alliance Demonstrate Increase in Market Opportunity and ROI for IoT Deployments that Combine LoRaWAN® and Wi-Fi