Injection Molding System with Camera-Based Insert Identification
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Solution Overview
Problem
Existing injection molding systems face issues with incorrect molding conditions being set for auxiliary members, leading to potential mold failures and defective products when inserts are frequently changed, as they lack effective identification and data management systems.
Innovation Solution
An injection molding system equipped with a shooting unit, data storage for auxiliary member characteristics, and an identification unit that analyzes and verifies the inserted auxiliary members using image data, ensuring accurate molding conditions are applied by comparing stored data with real-time captures, and providing a warning for mismatched conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of inserts are frequently changed for molding, then the versatility of the injection molding machine is improved, but the risk of setting incorrect molding conditions increases
Solution Approach 1:
The system uses a camera to capture images of inserts and automatically identifies them through image processing. This feedback mechanism provides automatic identification of the inserted insert type, allowing the control unit to retrieve corresponding molding conditions and verify their correctness, thereby preventing human error while maintaining high versatility
Solution Approach 2:
The system enables self-identification of inserts through automated image capture and processing. The insert itself is identified by its visual characteristics without requiring manual intervention or separate identification tags, allowing the system to automatically manage its own state and retrieve appropriate molding conditions
2Ease of operation
If separate molding condition files are maintained for each insert type, then the manageability of different molding conditions is improved, but the complexity of data management increases
Solution Approach 1:
Instead of maintaining separate physical files for each insert type, the system creates a digital database that stores molding conditions associated with insert images. This copying approach allows unlimited insert types to be managed through a single unified system, eliminating the need for separate file management while reducing overall system complexity
Solution Approach 2:
The database system serves multiple functions simultaneously: it stores molding conditions, identifies inserts through image matching, and retrieves appropriate conditions automatically. This multi-functionality consolidates what would otherwise require separate manual processes into a single unified system, reducing data management complexity
3Reliability
If manual verification of insert and molding condition matching is performed, then the reliability of molding operations is improved, but the productivity of the molding process decreases
Solution Approach 1:
The system automatically captures images of inserts, processes them to identify insert types, and retrieves corresponding molding conditions without manual intervention. This automated feedback loop eliminates the need for manual verification while maintaining high reliability, thereby increasing productivity without sacrificing accuracy
Solution Approach 2:
The system replaces manual visual inspection and verification processes with automated image processing and computer-based identification. This substitution of mechanical/manual operations with automated digital processing maintains reliability while significantly improving productivity by eliminating time-consuming manual checks
Data Source
AI summary
In an injection molding system, an insert formed with a cavity or an insert member for molding an insert-molded article is shot by a camera, and the insert or the insert member to be inserted into a mold is identified based on a characteristic of the insert or the insert member shot by the camera and previously stored data on the insert or the insert member.


