Process layout
This application is a solution that performs injection molding gate cutting and vision inspection using an extraction robot.
In plastic injection automation, extraction robots do more than just retrieve parts; they handle post-processing tasks such as gate cutting and finishing. This solution goes beyond simple cutting by integrating vision inspection into the workflow.
Components
| Robot | Extraction Robot; Injection Molding Machine; Finishing Nipper; Rotating Jig; Vision System |
|---|
Workflow
| STEP 1. | Extraction robot retrieves the part from inside the injection molding machine. |
|---|---|
| STEP 2. | Gate cutting is performed using a nipper. |
| STEP 3. | Part is rotated using the rotating jig. |
| STEP 4. | Gate cutting is performed on the opposite side. |
| STEP 5. | Vision inspection device checks for product defects and short shots. |
| STEP 6. | Repeat the previous process |
Features
Injection automation system integrated with vision
Performs gate cutting immediately after plastic injection using an extraction robot
Checks for defective products and short shots through vision inspection
Highly efficient production line construction
Maintains consistent product quality while increasing production efficiency
Seamlessly connects extraction robots with various automation facilities
Results
| Key Benefits | Consistent quality of injection-molded parts
Consistent quality of finished products after cutting
Prevention of industrial accidents
|
|---|---|
| Client Feedback | By performing gate cutting and vision inspection all at once, we can handle the post-processing of injection-molded parts much more accurately. |

Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
PICKSYS Pick-and-Place Solution using 3D Vision and Doosan Collaborative Robots (Cobots)
Process Overview This deployment is a pick-and-place automation solution for handling steel plates on a press line, using PICKSYS 3D vision and Doosan collaborative robots(Cobots). By combining 3D vision with cobots, the system can handle unstandardized (non-uniform) steel plates safely and efficiently. It automates tasks that operators typically avoid, improving overall operating efficiency and helping increase job satisfaction on the floor. Warranty Period : 1 year Project Year : 2023 Project Duration : 8 weeks Solution design & fabrication: 4 weeks On-site installation: 2 weeks Stabilization: 2 weeks Project Background and Objectives Automate undesirable tasks to help prevent operator turnover. Replace high-payload, repetitive work with robots to help prevent musculoskeletal injuries and workplace incidents. Maximize efficiency in repetitive loading/unloading work using a vision system.
AI Inspection Solution: Yaskawa Robots Integrated with DAVA for Precision Defect Detection
Project Overview DAVA (Detecting Application by Vision A.I), an AI-powered pass/fail inspection software developed by TNSAI, is a program that can be integrated into the Easy Checker series. It surpasses the limitations of traditional rule-based machine vision, allowing for flexible and easy changes to inspection targets. By utilizing image detection technology that leverages diffused reflection, it provides a solution for fast and accurate detection of even microscopic defect types. Project Background & Objectives Defect Classification: Utilizing AI to classify defect types and detect defective products.
Sack Palletizing with Hyundai HS220: High-Payload Logistics Automation
Project Overview This implementation case features a sack palletizing solution that integrates a custom-developed OP system with the Hyundai Robotics HS220. The proprietary OP system can be flexibly configured according to pallet sizes and packaging material characteristics for maximum efficiency. Drawing on years of experience in delivering sack production equipment, we have implemented a highly reliable palletizing system that operates stably in industrial environments. Warranty Period: 1 Year Execution Year: 2023 Project Duration: Subject to negotiation Project Background & Objectives Need for efficient palletizing of products coming off high-speed automation lines. Requirement for flexible task configuration changes in response to varying product sizes.










