Revolutionizing High-Mix/Low-Volume Production with Machine Learning-Based Robotic Innovations
Introduction
Traditional robotics and machine tools often struggle with the high-mix/low-volume (HMLV) production needs due to the rigidity of pre-programmed tool paths, dedicated part fixtures, and fixed production flows. PAR Systems has developed a cutting-edge machine learning (ML) based vision mapping and planning system that delivers high-accuracy automation for enhanced flexibility, efficiency, and cost reduction.
How It Works
The system uses a 2D camera to capture images from multiple positions across the work area. These images are processed by the ML algorithm, which calculates the 6D pose (position and orientation) of each target and generates an efficient tool path based on the different processes required by each target type. For higher-accuracy tasks, the initial camera-based calculations are refined using a 3D structured light scanner.
Key Components
- Tool Changer: Automatically switches between tools to perform a range of operations
- 2D Camera: Captures images from multiple angles for target detection and pose estimation
- 3D Structured Light Scanner: Provides high-resolution scanning for accurate target location and post-process inspection
- Machine Learning Algorithm: Detects, identifies, and locates each target’s 6D pose, autonomously generating tool paths
Benefits of Machine Learning Vision Mapping
Our machine learning-based system offers several advantages over traditional, rigid pre-programmed setups:
- Increased Flexibility
- Improved Efficiency
- Enhanced Accuracy
- Cost Reduction
- Scalability
- Mobility
To learn more details about PAR’s machine learning based vision mapping and planning system, download the full case study.
Contact Us
If you’re interested in implementing this transformative technology in your operations, contact us today!
