NEUROSENSE
ABOUT US
Neurosense specializes in developing AI embedded smart sensor technology, with a focus on measuring and analyzing environment (noise, temperature, humidity, pressure, etc..) and vibration data to detect potential failures in manufacturing industry.
We have a proven track record of successful collaborative products with major companies in Korea
Smart IoT Sensor
We design and provide a smart IIoT(Industrial-IoT) sensor that combines IoT Sensor which accurately measure the necessary data and the artificial algorithm technology which can analyze it on real time basis.
Data Analysis
We offer advanced data analysis services utilizing AI-based algorithms for tasks such as classification, anomaly detection, and unsupervised learning. Our real-time data-driven algorithms are designed to diagnose time series data from our IoT sensors, measuring vibration, noise, temperature, humidity, and pressure.
Embedded AI
By using the established Neurosense algorithm library, we can develop signal processing/machine learning (Edge AI) algorithms in a form that can be embedded in sensor hardware
Tech Roadmap
The Industrial IoT sensor will be continuously upgraded from simple data collection sensor to smart IoT sensor with self-diagnosis and embedded edge AI function. Edge AI algorithms will be continuously upgraded and advanced with our engineer’s best efforts to ensure the best-in-class performance in the market.
MAIN PRODUCTS
Portable Vibration Sensor
with Monitoring System
brand Name : LiveNS 350
Weight : 24g(Sensor), 332g(Tablet)
Height : 37.0 mm (Sensor+Magnet), 211.0 mm(Tablet)
Width : 25.0mm (Sensor+Magnet), 124.7 mm(Tablet)
Origin : Korea
Key features:
1. Vibration sensor paired with a data analysis Android application,
designed for researching abnormal vibration patterns in various devices.
2. The system includes an accelerometer for measuring vibrations and
connects to a tablet via a USB cable, providing advantages in capturing
high-frequency data (over 10kHz) with precise data collection.
Advantage:
1. It is compatible with Andr,oid tablets, making it easy to use.
2. OEM
3. Honest pricing facilitated by direct manufacturing and distribution.
This part could be in dynamic design (Dots or illustrated with icons)
How to use:
1. Connect the sensor to the tablet.
2. Attach the sensor to the surface of the device to measure three-axis (X, Y, Z) accelerations.
3. The tablet receives and displays the collected data. The measured data undergoes frequency
transformation on an Android tablet to highlight peak components within specific frequency bands.
Additionally, visualization using Short-time Fourier Transform (STFT) is available and can be utilized
for AI diagnosis model training.
4.Users can download the sensor-generated data files (CVS) by connecting the tablet to a PC.
Company Introduction
In the era of the Internet of Everything (IOE) coming along with the 4th Industrial Revolution which faces a great turning point of the paradigm shift of all industries, NeuroSense keeps pursuing the market leader position of edge computing technology which is essential for converting ordinary IoT sensors into intelligent IoT sensor.The edge computing technology developed by NeuroSense is an end-point smart IoT solution that implements artificial intelligence by embedding AI algorithms into the edge sensor, and is expected to rapidly grow in the various applications. The 4th industrial revolution will bring a huge change in most of industries by fusing artificial intelligence, big data, and IoT sensors and thus, continue to create a multiple new products in various fields. In particular, the smart IoT sensor with embedded edge intelligence shall become a mega-trend in AI market.In this market situation, we are confident that Neurosense’s unique edge computing AI technology, and the system semiconductor (SiP:System-in-Package) which is optimally designed for edge computing AI will serve as a future technology that will offer new value propositions to our IoT sensor customers.Neurosense shall strive to continuously advance our technical competence and keep providing new solutions to the customers so that they can develop the new smart IoT sensors in an inexpensive, rapid and convenient way together with the Best-in-Class performance.Thank you very much!IoT Smart Sensor Developments.•High reliability Hardware•Wireless, Battery Powered•Real-time data feature Analysis•Easy and Quick MonitoringMajor PoC History (Illustrated with icons)•Company Introduction•Vehicle fault diagnosis based on vibration/sound•Factory line equipment monitoring using smart IoT sensor
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