⚡️ Case Study:
High-Precision
Visual Inspection
Using AI Technology
1. Challenges in Conventional Inspection
Power choke coils play a critical role in virtually all electronic devices—
including smartphones, PCs, and automobiles—by regulating current flow and protecting circuits.
The quality of this component directly affects the overall performance and reliability of the device.
However, traditional visual inspection methods in manufacturing often face several challenges,
especially when detecting serious defects such as cracks or structural damage.
I. Miniaturization of Defects
As components become smaller, defects also become more microscopic,
making them extremely difficult to detect with the human eye.
II. Variability in Human Judgment
Inspector fatigue, differences in skill level, and subjective interpretation lead to
inconsistency in defect evaluation, making it difficult to maintain uniform product quality.
III. Limitations in Inspection Speed
High-precision inspection requires time.
As a result, manual inspection cannot keep pace with mass production speeds.
To overcome these challenges, we implemented cutting-edge AI-based inspection technology,
significantly increasing the reliability and consistency of defect detection.
2. AI-Driven “Absolute Quality Assurance”
By integrating AI technology, the inspection of choke coils evolves from
a process dependent on experience and intuition to one grounded in data, science, and automation.
This ensures a robust and highly reliable quality assurance system.
How Our AI Inspection System Works
1. High-Quality Training Data
The AI model is trained using extensive datasets containing images of:
(1)Normal, defect-free coils
(2)A wide variety of defects, including cracks, fractures, and foreign-matter contamination
This training allows the AI to acquire an accurate understanding of the
“ideal coil profile” and subtle deviations from it.
2. Rigorous Defect Detection
When a choke coil passes beneath the inspection camera on the production line,
the AI captures the image instantaneously and analyzes key areas such as
the surface, edges, and junctions.
The system applies strict and consistent criteria to detect serious defects—
including cracks and structural damage—that could compromise electronic device performance.
3. Real-Time Sorting and Classification
Once a defect is identified, the AI system immediately classifies the coil as non-conforming,
automatically removing it from the production line.
This prevents defective components from proceeding to subsequent manufacturing stages
and contributes to overall production efficiency.
The introduction of AI technology has transformed choke-coil inspection into a system of
highly reliable, scientifically grounded quality assurance—free from human error.
Through this advanced technology, we continue to support the high performance and reliability
of electronic devices, providing products our customers can use with confidence.
If you have specific technical requirements or would like to discuss
the implementation of this AI inspection system for your products,
please feel free to contact us.