Designing the future of industrial sites
from sensing to intelligence
From sensors to artificial intelligence, we solve complex industrial challenges
with end-to-end solutions
STM32WLE-based low-power embedded systems precisely collect various sensor data from industrial sites and perform real-time control. Optimized firmware and FreeRTOS-based stable multitasking ensure high reliability.
LoRaWAN protocol and proprietary gateway enable stable long-range wireless communication up to 15km. Master/Slave architecture efficiently manages hundreds of devices, and Raspberry Pi 5-based edge gateway performs local data processing.
TinyML and Edge AI perform real-time data processing and anomaly detection, while cloud analytics realize predictive maintenance and optimization. Machine learning models learn patterns and support proactive decision-making to minimize downtime.
Efficient power management and sleep mode optimization enabling battery operation for years
LoRaWAN-based stable data transmission guaranteed at distances up to 15km
Scalable architecture managing thousands of nodes simultaneously with Master/Slave structure
High reliability operating stably in extreme temperature, humidity, and vibration environments
TinyML-based real-time AI inference on edge devices ensuring fast response and data privacy
Machine learning algorithms predict equipment failures in advance and suggest optimal maintenance timing to minimize downtime
Discover AINIX Labs' IoT innovation cases that have proven real results
in manufacturing, buildings, agriculture, healthcare, safety, and public sectors
Manufacturing innovation project that improved production efficiency and product quality simultaneously with real-time process monitoring and AI quality prediction system
Building automation solution that maximized energy efficiency and reduced operating costs by integrating HVAC, lighting, and power systems
Livestock ICT system that significantly improved livestock health and productivity by real-time monitoring and automatic control of barn environment (temp/humidity, CO₂, NH₃)
Continuously monitors patient vital signs (ECG, blood pressure, oxygen saturation) and detects abnormal signs early through AI analysis for immediate emergency response
IoT fire detection sensors and real-time monitoring system detect fires early and minimize casualties and property damage through rapid response
Smart city solution that improves operational efficiency and enhances citizen convenience by integrating public infrastructure such as water supply, street lights, and parks with IoT
