Dual-Bin AGV Sorting for Accurate ASRS Asset Handling

The system enables assets to be automatically identified and sorted through self-service mechanisms. The image sensor and AI module automatically capture and analyze asset images, extract identification codes, and determine storage locations without human intervention. The AGV autonomously navigates to retrieve and deposit assets, creating a self-organizing system that eliminates manual errors while maintaining high throughput.

The patent replaces manual mechanical sorting operations with an automated vision-based identification system. Instead of workers visually inspecting and manually sorting assets, an image sensor captures images, an AI module processes them to extract identification codes, and this information automatically directs the AGV to the correct storage bin, substituting human cognitive and manual labor with automated optical and computational systems.

The AGV system performs self-navigation and self-sorting operations without requiring operator intervention. The navigation module autonomously guides the AGV to storage racks and bins, while the image sensor and AI module automatically identify assets and determine their destinations. The system serves itself by making all decisions and executing all actions independently, eliminating the need for operators to walk or manually sort assets.

The AGV acts as an intermediary between the storage racks and the control system, autonomously performing the complex tasks of navigation, asset identification, and physical transport. This intermediary device handles the complexity of coordinated movements and decision-making, freeing operators from involvement while managing the intricate system requirements centrally through the controller.