SolVisionCase Study
Inspecting Rubber Injection Molded Parts Using AI
Case
Factors and Defects in Rubber Injection Molding
The rubber injection molding process is influenced by various factors including the quality of raw materials, machine specifications, mold parts, and injection parameters. Defects can occur, spanning from minor aesthetic issues like stains and scratches to significant structural damage resulting from inadequate material or mishandling during ejection.
![Inspecting rubber injection molded parts using SolVision Interface of SolVision AI Vision system software Inspecting rubber injection molded parts](https://www.solomon-3d.com/wp-content/uploads/image-81-1024x576.jpg)
Challenge
Limitations of Conventional Vision Systems
Conventional rule-based vision systems, reliant on extensive data for training, have struggled with the dynamic nature and varying locations of defects in injection molded parts, leading to low accuracy rates. Manual inspection, hampered by the lack of standardized defects, has proven too slow and inconsistent for effective quality control.
Solution
Precise Injection Molded Parts Inspection Using AI
SolVision employs AI deep learning to inspect injection molded parts by analyzing sample images to learn the distinct characteristics of various defects, enabling precise detection and identification. As the database is enriched with additional images, the AI model strengthens, enhancing the system’s accuracy in defect recognition.
Defect Detection
Uneven Incisions
Missing Material
Mold Crush
Stain