A wide-angle view of a large stack of raw metal sheets on a pallet, symbolizing the raw materials and inventory used in the metal processing and manufacturing industry.

SolVisionCase Study

Electronics | Metal Processing

Metal Casing Quality Inspection Using AI

Case

Hardware Casing Quality Control

To maintain consistent quality, consumer electronics like PCs and other devices require a meticulous inspection of their hardware casings before final assembly.

A screenshot of the SolVision AI vision system software interface showing a metallic hardware casing. The system has automatically detected and highlighted subtle defects on the surface  during metal casing inspection for quality control.

Challenge

Difficulties Inspecting Reflective Surfaces

Detecting subtle defects and scratches on reflective metal surfaces is a major challenge for quality control. Because these flaws are often barely visible to the human eye, manual inspection is difficult and prone to high error rates. This poses a significant risk to production efficiency and product quality.

Solution

SolVision AI Vision System for Automated Inspection

With its advanced segmentation tools and powerful deep learning capabilities, the SolVision AI vision system can be trained to identify and categorize a wide range of defects based on their unique features. It creates a customizable database that classifies defects into distinct groups, such as obvious defects, minor defects, and micro defects. This system enhances the accuracy and efficiency of metal casing quality inspections, ultimately ensuring that defective products are stopped before they can disrupt the assembly process.

Metal Casing Defect Classification

A close-up image of a metallic hardware casing showing several tiny nicks and micro-defects highlighted by yellow circles, demonstrating the ability of AI to detect even the smallest flaws during quality control.

Micro Defects

An image of a metal casing with minor scratches and surface blemishes circled in yellow, showcasing the AI vision system's ability to classify defects.

Minor Defects

A high-resolution image of a metallic casing with several obvious, deep scratches highlighted by large yellow ovals, illustrating a successful AI inspection for clear-cut defects.

Obvious Defects

Outcome

Achieved greater quality inspection speed and accuracy
Defective products were eliminated from the final assembly process
Customizable classification allowed for tailored quality standards