AI Acoustic Inspection Engine
Embedding Future Technology
AI Square, LOAS's proprietary acoustic inspection algorithm, is an acoustic
detection, tracking, and analysis system and solution, using multi-channel microphone sensors.
It is applied including defect detection, industrial facility inspection, and UAV detection.
AI Acoustic Inspection Engine
Embedding Future Technology
AI Square, LOAS's proprietary acoustic inspection algorithm, is an acoustic
detection, tracking, and analysis system and solution, using multi-channel microphone sensors.
It is applied including defect detection, industrial facility inspection, and UAV detection.
AI-Based Acoustic Data Learning and Definition,
Advanced Detection through Deep Learning
Our system uses machine learning to define and classify normal and abnormal acoustic data. This accumulated data then powers advanced detection capabilities through deep learning.
AI Square instantly provides real-time visualization, pinpointing the precise location of any abnormal noise source.
Advanced Detection Algorithm
Capable of Complex Judgments
Acoustic data collected via multi-channel microphone sensors is classified using a Decision Tree. This process generates complex nodes for abnormal noise, environmental noise, and irregular noise based on normal acoustic data, and then determines a verdict by consolidating the resulting classes.
This is an advanced detection algorithm that leverages machine vision to assess the operational status of products and the physical characteristics of inspection targets. By combining this with acoustic data, it enables complex judgments.
Enhanced Detection
with Auto Gain
AI Square precisely visualizes abnormal noise sources in 3D using video and standardized colors. Its discrimination algorithm eliminates environmental noise, while Auto Gain targeting enhances detection of even subtle abnormal noises.
AI-Based Acoustic Data Learning and Definition,
Advanced Detection through Deep Learning
머신러닝을 기반으로 정상 음향 데이터와 비정상 음향
데이터를 각각 학습 및 정의하며, 축적된 Data는
딥러닝을 통해 검출력 고도화가 가능합니다.
이상 데이터 검출 즉시 실시간 시각화 알고리즘을 통해
이상 소음원의 위치를 사용자에게 제공합니다.
Advanced Detection Algorithm
Capable of Complex Judgments
머신러닝을 기반으로 정상 음향 데이터와 비정상 음향
데이터를 각각 학습 및 정의하며, 축적된 Data는
딥러닝을 통해 검출력 고도화가 가능합니다.
이상 데이터 검출 즉시 실시간 시각화 알고리즘을 통해
이상 소음원의 위치를 사용자에게 제공합니다.
Enhanced Detection
with Auto Gain
머신러닝을 기반으로 정상 음향 데이터와 비정상 음향
데이터를 각각 학습 및 정의하며, 축적된 Data는
딥러닝을 통해 검출력 고도화가 가능합니다.
이상 데이터 검출 즉시 실시간 시각화 알고리즘을 통해
이상 소음원의 위치를 사용자에게 제공합니다.