CUSTOM AI FOR IOT AND EDGE

DDE's in-house IoT algorithms, data engineering and AI models are custom-designed for IoT and edge computing projects targeting high-accuracy, low-latency and robustness

IoT data is intrinsically time-based that comes in various forms. Data analysis under the strict requirements in terms of high speed and accuracy is a challenging task for even the most experienced experts. We at DDE take a human centric approach. By looking at domain experts and their ways of thinking, we clone expert human behaviours to develop predictive models to achieve utmost accuracy and speed.

USE CASES

Known for its high accuracy, DDE's IoT and Edge technologies are widely used across various industries

CUSTOM AI FOR IOT AND EDGE

DDE's in-house IoT algorithms, data engineering and AI models are custom-designed for IoT and edge computing projects targeting high-accuracy, low-latency and robustness

IoT data is intrinsically time-based that comes in various forms. Data analysis under the strict requirements in terms of high speed and accuracy is a challenging task for even the most experienced experts. We at DDE take a human centric approach. By looking at domain experts and their ways of thinking, we clone expert human behaviours to develop predictive models to achieve utmost accuracy and speed.

USE CASES

Known for its high accuracy, DDE's IoT and Edge technologies are widely used across various industries

AI Prediction for Damping Force and Valve Combination (MAI-T)

DDE’s automatic tuning system, based on artificial intelligence (Neural Expert cloning) developed from accumulated data, reduces time spent on tuning, reducing frequent business trips and resolving customer conflict at the same time.

Parts Damage Force Analysis

Our analysis algorithm evaluates the precise amount of force & damage different road conditions have on vehicle parts through deep learning of raw data from ECUs in vehicles to suggest optimal part requirements per road condition for improved part efficiency and reduced material costs.

PID Tuning System for Auto-parking

Our predictive analysis algorithm, calculates each and all patterns and influences of not only the PID (proportional, integral, differential) values in PID Control but also all possible appropriate variable values, such as Maxin, Maxout, Mdin, and Midout, to precisely tune in support of the automatic parking system.

Sensor Calibration, Fusion & Convergence

Centralised sensor management AI automatically adjusts calibration of each and every sensor by deep learning each sensor’s variable pattern as the external environment changes for easy management. Our sensor convergence technology enables calibration and management of even the smallest changes in error variation.

Data Design Engineering

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Addr. 2F, 12, Digital-ro 31-gil, Guro-gu, Seoul, South Korea

Tel. 070-8830-1621 | Email. info@datadesign.engineering


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