Intelligent sensor technology that connects sensor hardware, Edge AI diagnostics and PHM system integration in the field
NeuroSense collects temperature, vibration, shock, current and location data at the sensor across industrial and defense sites and detects anomalies with low-power Edge AI. The results link to PLCs and upper-level systems for app and web monitoring, and operators can check equipment status instantly through LLM natural-language queries.
Through national R&D and field projects with MOTIE, MSS, KOGAS, MOLIT and others, NeuroSense is advancing smart sensors, predictive maintenance, vehicle diagnostics and defense CBM+ technologies.
The system shifts from raw-data transfer to field analysis, reducing processing load and security risk while improving diagnostic speed and operating efficiency.
Built on vehicle-component design experience, NeuroSense designs robust mechanics, redundant circuits and low-power communication architectures for long-term field data collection.
Signals are preprocessed and converted into diagnostic features on the device, allowing the system to send meaningful condition data instead of raw streams.
Diagnostic results are connected to maintenance, inventory, control and command systems so condition monitoring leads to preventive action.
NeuroSense links to equipment PLCs to collect operating data in real time and visualizes field status on app and web dashboards. Operators can query equipment status in natural language through an LLM and instantly review likely causes and recommended actions.
Analyzes vibration, temperature and current data from conveyors, rolling equipment and pumps to predict anomalies and maintenance timing.