The Electronics and Telecommunications Research Institute (ETRI) unveiled core AIoT technologies, demonstrating its leadership as an organization leading AI innovation in future society through convergence ICT technologies such as big data, AI, and wireless IoT.

ETRI will unveil nine core technologies in the AIoT field, a convergence of artificial intelligence (AI) and the Internet of Things (IoT), at the "2025 AIoT International Exhibition," held at COEX in Seoul for three days starting on the 26th. The technologies showcased this time include six in the industrial and living sectors, including carbon and energy, agriculture and livestock, healthcare, and transportation, and three in future infrastructure, including IoT networks, edge AIoT platforms, and embedded behavioral intelligence.

In the energy sector, we will unveil a data-driven factory energy management system (FEMS) that optimizes production processes and facility operations, as well as customized utility process AIoT technology. Additionally, we plan to introduce digital twin-based process diagnosis, analysis, and visualization technology, as well as AI learning-based complex sensor technology.

In the livestock and livestock sector, we will showcase intelligent smart livestock technology that prevents electrical fires in livestock sheds. This method enhances facility safety by detecting arc faults in real time using a multi-sensing system.

In the medical field, a technology will be showcased to assist in the diagnosis of cerebrovascular disease in emergency settings, enabling noninvasive diagnosis of cerebrovascular disease even in high-traffic environments such as ambulances. Its key feature is its ability to enhance the accuracy and speed of emergency patient response through biosignal-based AI analysis.

In the transportation sector, we are unveiling AI-spatial information fusion technology that estimates location based on imagery even in environments with limited GPS signals. This is a key technology supporting the stable operation of future air mobility (AAM).

In addition, in the IoT infrastructure field, we plan to showcase industrial IoT network technology that supports large-scale simultaneous device communication, embedded behavioral intelligence generalization technology that implements autonomous connection and control, and a smart city edge AIoT platform based on federated learning that enhances personal information protection.

ETRI Digital Convergence Research Center Director Kim Seung-hwan said, "IoT is a key foundation for implementing AI technology in the real world. We will lead AI innovation in future societies through convergent ICT technologies such as big data, AI, and wireless IoT."