AI Computer Assembly Solution

Inspection of hard drive metal base components

Detecting defects on hard drive metal bases

When assembling computers, production of metal bases for hard drives is one of the more demanding tasks of the process. This component is key to heat dissipation and operational efficiency, which directly affect overall computer performance.

Optimization dilemma: large number of defects

Hard drive metal bases are vulnerable to many defects during production, from damages to the metal surface to incorrect shape or size. The sheer variation and volume of these anomalies make it hard to recognize every one of them precisely during manual inspection. Subtle defects that are hard to catch may also lead to assembly issues, such as the component being unable to align with another part. 

Improved visual inspection with AI detection

SolVision’s Segmentation tool can train the AI model to recognize different types of defects based on the shape of the metal base. Regardless of the size, appearance, or variations of defects, the system can identify them quickly and accurately to maximize production throughput.

AI Inspection

Flawed Surface

AI Computer Assembly Solution

AI Computer Assembly Solution

Dent

AI Computer Assembly Solution

AI Computer Assembly Solution

Hole

AI Computer Assembly Solution

AI Computer Assembly Solution
More Case
  • AI Visual Identification and Classification of Cells

    Deploy SolVision’s advanced AI model to identify and classify cells where traditional AOI systems are insufficient in detecting and determining cell variations
  • presence/absence detection of PTP using SolVision AI inspection software

    Blister Pack Inspection Using AI

    SolVision transforms blister pack inspection, overcoming reflective material challenges to improve accuracy and efficiency in pharmaceutical production with AI.
  • Central Processor Of A Computer

    Inspecting Semiconductor Packaging Processes

    SolVision enables visual inspection through AI image analysis, strengthening the reliability of displacement and angle information to recognize defective products and errors in the die bonding process.
  • high quality Galvanized steel pipe or Aluminum and chrome stainless pipes in stack waiting for shipment in warehouse

    Parts Inventory Management Using AR + AI

    META-aivi uses artificial intelligence to accurately identify size variations of the pipes instantaneously. Using the fast counting feature, all the different parts are classified and counted within seconds.