Pallet Profiling With Turntable Imaging and Stationary Cameras
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Solution Overview
Problem
Current methods for profiling items in warehouse environments are inefficient due to reliance on human inspection, which can lead to errors and delays, and existing automated systems fail to capture accurate images of pallets from multiple angles, resulting in suboptimal storage decisions and potential damage.
Innovation Solution
A system comprising a rotating turntable and stationary cameras mounted on a vertical pole, with controlled lighting and image processing using machine learning models to capture and analyze images of pallets from multiple angles, providing accurate identification of labels, dimensions, and contents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human inspection is used to identify storage characteristics, then flexibility and adaptability are maintained, but errors increase and productivity decreases
Solution Approach 1:
The patent replaces manual human inspection with an automated imaging system consisting of cameras, turntables, and image processing algorithms. The system captures images of pallets from multiple angles, automatically identifies storage characteristics through computer vision, and eliminates human error while maintaining high processing speed and productivity.
Solution Approach 2:
The system enables self-inspection of pallets through automated image capture and analysis. The imaging system independently identifies storage characteristics without human intervention, allowing the warehouse to process items autonomously and significantly improve throughput while maintaining accurate profiling.
2Measurement precision
If multiple cameras are used to capture images from different angles, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent divides the imaging task into multiple segments by using several cameras positioned at different angles around the turntable. Each camera captures images of specific portions of the pallet from its designated viewpoint, and the system integrates these segmented images to create a complete profile of the pallet's storage characteristics.
Solution Approach 2:
The system transitions from single-angle 2D imaging to multi-angle 3D profiling by arranging cameras in a circular configuration around the rotating turntable. This spatial arrangement in three dimensions enables comprehensive capture of pallet characteristics that cannot be obtained from a single viewpoint.
3Productivity
If automated imaging system is implemented, then productivity increases, but initial investment and device complexity increase
Solution Approach 1:
The patent designs a multi-functional automated system that simultaneously performs multiple tasks: capturing images from multiple angles, rotating the pallet for complete coverage, processing images through algorithms, and identifying storage characteristics. This universal system handles the entire pallet profiling workflow in one integrated setup, improving productivity while consolidating infrastructure requirements.
Data Source
AI summary
Systems and methods for profiling a pallet in a warehouse can include a turntable that rotates the pallet, conveyor belts that move the pallet, and a vertical profiling structure, having cameras mounted at different locations, in a stationary position proximate to a side of the turntable. A photo booth can also be used to provide uniform lighting. A computing system can instruct a conveyor belt to automatically route the pallet onto the turntable, instruct the cameras to capture image data of the pallet as it rotates on the turntable, receive the image data, and retrieve image-based models of the pallet that were trained using images of pallets having unique identifiers. The computing system can determine, based on applying the image-based models to the image data, whether the pallet's unique identifier is identifiable, and transmit, to a warehouse management system, a notification indicating whether the unique identifier is identifiable.