AI Painting Robot GT PAINTER

This application case features the Magenta Robotics GT PAINTER–I performing painting processes. Dry powder coating typically takes place in harsh environments with high levels of fine dust. Due to repetitive tasks and the need to work on ceilings or high-altitude sections, it has long been a job avoided by human workers.

The GT PAINTER–I automatically analyzes objects within these painting processes and selects the optimal motion for execution. This has enabled the improvement of workplace safety, increased productivity, and the achievement of uniform coating quality.

Components

Robot	Robot: GT PAINTER–I Stationary painting robot. Capable of multi-item recognition and inspection. Features rapid motion learning and real-time remote control. Robot Integrated Control Framework: MAVIZ (S/W) Proprietary robot control and simulation software developed over many years. Controls and simulates robot actions by assessing the environment and situation. GUI-based programming allows for robot teaching and application over 4x faster than traditional methods. Multi-Item High-Speed Image Processor: MAVIX Powered by NVIDIA Jetson TX2 board. Applies image processing technology integrated with parallel processing. Feature-point-based object recognition module with a rule-processing engine. Recognizes over 300 types of parts using deep learning technology. Automated quality inspection via vision recognition.

Robot

Robot: GT PAINTER–I
- Stationary painting robot.
- Capable of multi-item recognition and inspection.
- Features rapid motion learning and real-time remote control.
Robot Integrated Control Framework: MAVIZ (S/W)
- Proprietary robot control and simulation software developed over many years.
- Controls and simulates robot actions by assessing the environment and situation.
- GUI-based programming allows for robot teaching and application over 4x faster than traditional methods.
Multi-Item High-Speed Image Processor: MAVIX
- Powered by NVIDIA Jetson TX2 board.
- Applies image processing technology integrated with parallel processing.
- Feature-point-based object recognition module with a rule-processing engine.
- Recognizes over 300 types of parts using deep learning technology.
- Automated quality inspection via vision recognition.

Workflow

STEP 1.	Loading of workpieces.
STEP 2.	Workpieces move along the conveyor.
STEP 3.	The robot recognizes the workpiece.
STEP 4.	The robot selects the optimal painting motion and performs the coating task.
STEP 5.	Inspection of the finished coating.

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Key Features

Improvement of Harsh Working Environments

Safety Accident Prevention: Eliminates the risk of accidents associated with manual painting.
Environment Restoration: Enhances workplace conditions by replacing humans in areas with heavy fine dust.
Quality Consistency: Eliminates low-quality issues caused by fatigue from repetitive manual motions.
High-Altitude Capability: Enables safe painting operations on ceilings and high-level structures.

Efficient Multi-Item Recognition and Low-Cost Operations

Multi-Item Support: Capable of recognizing and painting diverse products on a single production line.
Real-Time Inspection: Prevents omissions through real-time video-based product inspection.
Automated Quality Control: Uses AI-driven vision recognition for autonomous quality checks.

Rapid Learning and Operation

Time Efficiency: Reduces learning and application time from 2 days to just 4 hours.
Intuitive Programming: Fast learning via a user-friendly GUI-based programming interface.
Remote Control: Supports real-time remote monitoring and control.

Implementation Results

ROI Period	12 Months
Key Metrics	Multi-item painting supported on a single production line. Easy and rapid robot teaching and deployment. Achievement of uniform and consistent work quality.
Client Feedback	We can now perform uniform painting tailored to the shape of diverse products, which has significantly improved quality and operational efficiency. The easy installation and teaching allow for flexible and rapid responses to changing task requirements.

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Please log in to view

The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

※ The content provided by Marosol is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.

Components

Workflow

Key Features

Implementation Results

AI Painting Robot GT PAINTER–I

Recommended Use Cases