What is Machine Vision?

Machine Vision is a technology that utilizes cameras and image processing to automate manufacturing lines and quality control. In recent years, the combination of AI (Artificial Intelligence) and deep learning technology has enabled even more advanced inspection and analysis. Machine Vision contributes to improving productivity, reducing costs, and enhancing quality across various industries.

Major Applications of Machine Vision

1. Pharmaceutical Industry

Quality control is extremely important in pharmaceutical manufacturing. Machine Vision is used for the following purposes:

• Label Inspection: Detecting incorrect labels and printing errors.

• Tablet & Capsule Inspection: Checking for cracks, foreign substances, and shape abnormalities.

• Packaging Verification: Ensuring accurate enclosure in blister packs and boxes.

2. Food Industry

Machine Vision is indispensable for ensuring food safety and preventing foreign substance contamination.

• Foreign Object Detection: Detecting contaminants such as plastic, metal, and glass.

• Appearance Inspection: Analyzing shape and color to determine compliance with quality standards.

• Label & Barcode Verification: Automating the confirmation of expiration dates and ingredient labeling.

3. Semiconductor Industry

Semiconductor manufacturing requires extremely precise processes, making extensive use of Machine Vision.

• Wafer Inspection: Detecting minute scratches and foreign substances.

• Circuit Board Quality Control: Automatically identifying soldering or pattern formation anomalies.

• Chip Appearance Inspection: Checking the shape and marking of IC chips.

4. Electronics Industry

Quality control of electronic components directly impacts the reliability of the final product.

• Connector and PCB Inspection: Detecting bent pins and contact failures.

• Soldering Inspection: Automatically inspecting for excess, shortage, or bridging.

• Component Position & Orientation Detection: Supporting accurate assembly.

5. Automotive Manufacturing Industry

In the automotive industry, Machine Vision is used to improve quality and reduce manufacturing costs.

• Component Assembly Verification: Detecting missing bolts or misinstalled parts.

• Coating & Surface Inspection: Checking for scratches and uneven coatings.

• Seatbelt & Airbag Quality Inspection: Performing precise inspections to ensure safety.

Machine Vision is widely applied in the pharmaceutical, food, semiconductor, electronics, and automotive manufacturing industries, significantly contributing to quality control and productivity enhancement. With the ongoing advancements in AI and deep learning, even more sophisticated inspections and analyses will become possible, accelerating automation across the manufacturing sector.