The automotive industry’s relentless pursuit of precision extends to every component, and dampers for gear shafts are no exception. These seemingly simple parts play a vital role in vibration control, safeguarding against premature wear and tear. Ensuring the accuracy of serial codes etched onto these dampers becomes paramount for various reasons.

Serial codes function as a unique identifier for each damper, providing crucial information on:

  • Origin and Material Composition: These details are essential for tracing parts back to specific production batches and identifying the materials used in their construction.
  • Performance Specifications: Serial codes can link to performance data, allowing manufacturers to predict a damper’s behavior and ensure it meets specific vibration control requirements.
  • Counterfeit Prevention:Unique codes make it significantly harder for counterfeit parts to infiltrate the supply chain, safeguarding vehicle safety and performance.

Traditionally, visual inspection by human workers was the norm for verifying serial codes on dampers. However, this approach comes with inherent limitations:

  • Subjectivity and Fatigue: Inspectors are susceptible to fatigue and errors in judgment, potentially overlooking inconsistencies or mistakes.
  • Speed Constraints: Manual inspection slows down production, impacting overall line efficiency.
  • Lighting Dependence: Variations in lighting conditions can hinder accurate code reading, leading to inconsistencies.
  • Machine Learning Magic: AI algorithms trained on vast datasets of code formats and variations can identify characters with exceptional accuracy, surpassing human capabilities.
  • Unwavering Attention: Unlike humans, AI systems are immune to fatigue and maintain consistent performance throughout production cycles.
  • Speed Demon: AI-powered systems can process codes at lightning speed, significantly accelerating inspection times and allowing for faster production runs.

Here’s how AI visual inspection would work on automotive manufacturer producing thousands of dampers daily.

  • Image Capture: A high-resolution camera captures a clear image of the damper’s serial code
  • AI Analysis: The AI system instantly analyzes the image, recognizing the code and comparing it against a database of authorized formats.
  • Defect Detection: If any discrepancies are found (e.g., missing characters, blurry text), the system flags the damper for further inspection.
  • Data Collection: All inspection data is logged, enabling continuous improvement and proactive maintenance.

This automated system ensures consistent and reliable verification, freeing up human inspectors for more complex tasks. It also helps maintain production speed, minimizes errors, and ultimately, contributes to safer and more reliable vehicles.

AI Visual Inspection Solutions

  • Enhanced Quality Control: AI’s precision minimizes the of errors to 52%, leading to a higher quality output and a safer driving experience for consumers.
  • Increased Efficiency: Faster inspection times translate to greater production throughput and cost savings.
  • Improved Traceability: Accurate code verification facilitates better tracking and faster response times in case of product recalls.

Building a Wall of Safety: How Visual Inspection with Scanflow Protects Your Cement Industry Workforce

The cement industry is the backbone of infrastructure development. But behind the strength of concre...

2 Mins read

Jun 6, 2024

Read More

Transforming Quality Control: How AI-Powered Scanflow Elevates Conveyor Belt Inspections

In the fast-paced world of manufacturing, the conveyor belt is the production line's heartbeat, carr...

2 Mins read

Jun 4, 2024

Read More

Enhancing Quality Control in Manufacturing with Custom Object Detection Model

Introduction - What is a Object Detection Model? An "object detection model" is an advanced artif...

3 Mins read

May 28, 2024

Read More
QR Floating