Automotive Case Study

Revolutionizing Quality Control with AI Vision

How an automotive parts manufacturer achieved near-perfect defect detection and increased production speed with Adhunik's AI solutions.

Client Profile

A leading automotive parts manufacturer producing precision components for major automotive brands. The company operates multiple production facilities with high-volume output requirements and strict quality standards.

The Challenge

The manufacturer was facing several critical challenges in their quality control processes:

  • Manual visual inspection processes that were labor-intensive and prone to human error

  • Inconsistent quality control results across different shifts and inspectors

  • Production bottlenecks caused by the inspection process limiting line speed

  • Increasing customer quality requirements and zero-defect expectations

  • High costs associated with quality control staffing and defect-related warranty claims

Our Solution

Adhunik implemented a comprehensive AI-powered visual inspection system:

Computer Vision Inspection

Advanced AI vision system using high-resolution cameras and deep learning to detect even microscopic defects.

Real-time Quality Analytics

Dashboard providing instant insights into quality metrics, defect types, and production performance.

Automated Defect Classification

AI system that categorizes defects by type, severity, and root cause to facilitate targeted improvements.

Continuous Learning System

Self-improving AI models that continuously learn from new defect patterns to enhance detection accuracy.

Implementation Process

1

Process Analysis & Camera Placement

We conducted a comprehensive analysis of the production lines and determined optimal camera placement for complete part coverage.

2

AI Model Training

We trained the AI models using thousands of images of both defective and non-defective parts to achieve high accuracy.

3

Pilot Line Deployment

We implemented the system on one production line, running it in parallel with manual inspection to validate performance.

4

Full Facility Rollout

After successful validation, we expanded the implementation to all production lines across the facility.

5

Integration & Optimization

We integrated the system with the manufacturer's MES and continuously refined the AI models to improve detection accuracy.

Results at a Glance

99.8%

Defect Detection Rate

45%

Reduction in Quality Control Costs

30%

Faster Production Line Speed

85%

Reduction in Customer Complaints

4

Month ROI

"Adhunik's AI vision system has completely transformed our quality control process. We're now able to detect defects that would have been impossible to catch consistently with human inspection. The increased production speed and reduced quality control costs have given us a significant competitive advantage, while the near-perfect detection rate has strengthened our reputation with customers."

David Kim

Quality Director, Automotive Parts Manufacturer

Transform Your Manufacturing Quality

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