Case Study:
How Photoneo's 3D Vision Powers Rebl Industries' AI Robot
Download the full case study to find out how Rebl Industries AB developed the Rebl Palletizer, an AI-powered robotic solution, that solved a significant ergonomic challenge by relying on the Photoneo MotionCam-3D to handle a constant flow of nearly two million uniquely sized parcels annually without stopping the line.
High-Fidelity Vision for Rebl’s AI-Powered Robotics
The "wrap" station - where co-workers manually lift and stack up to 20 kg parcels - was a major physical obstacle. The primary technical challenge was the high variability of made-to-order box sizes. Learn how the solution overcame this by using the MotionCam-3D as the system's "eyes" and "spatial intelligence" to enable Vision Guided Robotics (VGR) in a continuous flow.
- High-Throughput Automation (450 Pieces/Hour): See the blueprint for achieving high-speed automation by leveraging the MotionCam-3D's unique ability to capture real-time 3D data of objects moving at high speed, successfully meeting the throughput target.
- Mastering Random Boxes in Motion: How Photoneo’s patented technology provides high-resolution, high-accuracy 3D point clouds of uniquely sized parcels, a critical capability that made the "impossible" automation of random box palletizing possible.
- The AI-Driven Stacking Strategy: The crucial role of Rebl's generative stacking AI, which utilizes the precise 3D dimensions and position from the Photoneo scan to determine the ideal placement on the pallet for maximum stability and density.
- Ergonomic and Operational Success: The implementation of the Rebl Palletizer achieved over 99% uptime and stability, successfully automating a physically taxing and repetitive job and improving the well-being of the client's co-workers.
- The Seamless Integrated Workflow: The end-to-end process, from parcel identification via a Zebra FS40 barcode scanner to the final perfect pick-and-place operation guided by Photoneo’s vision and Rebl’s AI.