A smart sensor or Intelligent IoT system is a system that attaches various sensors to Things, generates valuable data, and transmits the collected data to the Cloud. It requires a sophisticated solution that combines hardware and software technologies such as sensor materials, semiconductors, signal processing circuits, intelligent algorithms, and AI. Our team has built several IoT systems, including particulate matter sensors, semiconductor-based gas sensors, biosensors, vibration and sound sensors, and image sensors 

In recent times, interest in AI has surged alongside the increasing computing capabilities of computers. We are focusing on machine learning and AI applications running on small systems based on microprocessors or microcomputers. The initial application involves measuring and classifying the types of ambient noises present in apartment buildings. Another application entails diagnosing faults in industrial robot systems by measuring ambient sound and vibration. Furthermore, we are actively seeking additional applications to implement our lightweight AI. 

An embedded system is a microprocessor-based computer hardware system with software that is designed to perform a dedicated function, either as an independent system or as a part of a large system. At the core is an integrated circuit designed to carry out computation for real-time operations. We already built an commercial air purifier for the school, air quality monitoring system, real-time locating system, etc.

As human lifespans increase, there is a growing demand for uHealth (ubiquitous health) solutions and interest in in vitro diagnostic systems. We are exploring applications that dominate the majority of the medical market and researching valuable novel diagnostics. Our achievements include the development of an electrochemical blood glucose meter based on the GOD (glucose oxidase) enzyme and a device for measuring Hemoglobin and Hematocrit levels to detect anemia. Additionally, we are collaborating with various medical researchers. 

We are also conducting research on depth extraction using various technologies such as stereo vision, photogrammetry, LiDAR, mmWave, IR-based structured light, and dual aperture, as well as integrating them all. Proficiency in basic image processing techniques and computer vision knowledge is necessary for depth extraction. Specifically, we are focusing on depth extraction for transparent objects such as PET bottles, glass bottles, films, trays, glass windows, etc 

Wearable devices equipped with various sensors generate information on users' physical activities, which is utilized for various applications in emergency detection, entertainment, and healthcare services. We are currently developing a wrist-worn device to estimate walking mode and walking speed, as well as smart insoles to analyze human gait. To achieve our objectives, we have developed a dedicated system and employed a novel machine learning algorithm. We aim to further expand the scope of this application. 

We focus on low-rate communication technologies such as LoRa, NB-IoT, ZigBee, and Bluetooth LE for real IoT applications. We have experience in Real-Time Locating Systems, Routing & Efficient Data Collection, Precision Time Synchronization, and efficient data collection.