The Industrial Challenge:In high-throughput logistics, inconsistent packaging orientation and data tracking errors (QR/Barcodes) cause jam-ups and shipping mistakes. The goal was to automate a mixed-SKU palletizing line where parts arrive randomly and need real-time verification.
My Solution:I engineered a Self-Correcting Palletizer. By integrating Fanuc iRVision for both Data Capture (QR) and Orientation Checks, the system validates every single unit before it touches the pallet.
Key Results:
The Problem: Bad codes or wrong parts destroy inventory accuracy.
The Fix: I didn't just "read codes". I built a Validation Gate. The robot scans the QR code dynamically. If the code is invalid, the system automatically quarantines the product without stopping the line. Zero Risk of Shipping Errors.
Business Value: Prevents shipping errors at the source, saving return costs.
The Innovation: Standard palletizers crash if a box is rotated 180°.
My Logic: I implemented a Chaos-Proof Handling. The vision system identifies the box orientation. Instead of complex re-calculations at the drop point (which risks unstable stacks), I adjust the Pick Vector instantly.
The Result: The robot absorbs the chaos of the conveyor, delivering a perfect, stable pallet stack every time.
The Bottleneck: Waiting for the conveyor is wasted money.
The Optimization: I developed a Look-Ahead Algorithm. While the robot is stacking Part A, the conveyor is already positioning Part B.
Data Proof: This parallel processing reduced idle time by ~18% per layer, maximizing the ROI of the robotic cell.
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