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Defect Detection System by Sound

Features

Sound recording

Capture high-fidelity acoustic data from machinery using precision microphones integrated with robotic arms

Sound analysis and error detection

Employ advanced AI algorithms to analyze recorded sounds, instantly identifying abnormal patterns and potential defects

Robotic arms controlling

Facilitate automated responses and precise intervention by robotic arms, directly controlled by the system's error detection outputs

Benefits

Enhanced quality control

Elevates product quality through proactive, non-intrusive sound-based defect identification

Increased production efficiency

Optimizes operational flow and minimizes downtime by quickly addressing emerging mechanical issues

Real case study: AI Sound-Based Fault

About client

A prominent Vietnamese manufacturer specializing in construction materials

Client challenges

  • Manual quality check led to inconsistencies
  • High pressure on the workforce amidst production scaling

Solutions

  • Leverag AI to detect sound anomalies and analyze equipment faults
  • Sound sensors captures data during valve tightening
  • AI model processes and classifies normal/faulty valves
  • Notification system triggers a robotic arm for automated removal of defective products

Benefits

  • High-quality output with 99% faultless
  • Enhanced production efficiency through full automation
  • Facilitates business expansion by handling increased production