Streamlining Defective Product Removal with AI and Retrieval Robots

Do you have any similar issues or concerns?

I want to achieve night operations, but…?

I cannot respond immediately when defective products occur, and preventing the mass production of defective products is difficult. Therefore, I cannot take the plunge into night operations.

I want to achieve inspection-free operation, but...

Automating the detection of visual and structural defects is challenging, and achieving inspection-free operation has not been realized.

成AI for Automatic Molding Condition Adjustment will provide the solution!

What can be achieved with AI for Automatic Molding Condition Adjustment

POINT01

Automated Quality Assessment

MAZIN's AI monitors real-time mold cavity pressure during the molding process. It accurately detects shape defects such as burrs, sink marks, and short shots. This capability not only contributes to production automation but is also valuable for recording molding data to ensure product quality.

POINT02

Automated Molding Condition Adjustment

Our AI enables automated adjustment of molding conditions based not only on machine data but also on the degree of change in the mold's internal state. AI learns to adjust deviations from the reference waveform obtained during the production of good quality products, ensuring injection molding quality equivalent to that achieved by skilled professionals.

POINT03

Consistent Molding Quality Anywhere

By training AI to replicate the internal mold conditions of good quality products, stable molding becomes possible even in the presence of environmental changes such as temperature and humidity. This leads to reduced workload when using molds set in domestic conditions in overseas factories and minimizes wasted shots during the morning condition setup.

Use Cases of AI for Automatic Molding Condition AdjustmentÄb0

While visual defects can be detected through image inspection, manual judgment is typically required for shape defects. This can pose a challenge for inspection-free production and overnight operation. By harnessing MAZIN AI, it becomes possible to detect shape defects in real-time, allowing for the construction of a production line where AI cooperates with retrieval robots to remove flawed products promptly. With the ability to detect visual defects like contamination through image analysis, the goal of inspection-free production and stable overnight operation can be achieved.

Collaboration with Retrieval Robots Enabled by AI

AI-Identified Good Product (Right) and Defective Product (Left

Advantages of AI for Automatic Molding Condition AdjustmentÄb0

Achieving Precision Adjustment Equivalent to Skilled Operators

The comparison below illustrates the number of shots required to achieve quality products through adjustments in three conditions: injection speed, VP switching position, and holding pressure. AI has demonstrated adjustment capabilities equivalent to those of skilled operators.

High-Precision Detection of Shape Defects

MAZIN's AI continuously monitors real-time mold cavity pressure during the molding process. It detects shape defects with high precision, including burrs, warpage, and short shots. This capability not only automates production but also facilitates the recording of molding data for quality assurance purposes.

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