Edge Impulse
16 Case Studies
A Edge Impulse Case Study
IRNAS, an IoT and embedded devices company, needed a way to unlock more value from the large amounts of sensor data their low-power devices already collect. In partnership with **Edge Impulse**, IRNAS looked to add on-device machine learning to applications ranging from industrial monitoring to animal tracking, where cloud transmission is constrained by power, bandwidth, and harsh operating conditions.
Using **Edge Impulse’s** streamlined on-device ML toolset, IRNAS developed smarter solutions that can classify events locally and send alerts only when intervention is needed. This approach helped improve battery life and efficiency while enabling faster time to market, including long-life surge arrestor monitoring, real-time elephant behavior detection, and environmental process tracking for semiconductor yield optimization.