Drop Perception Array for Multi-Angle Barcode Identification
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Solution Overview
Problem
Existing barcode scanning systems for robotic and sortation systems are limited in their ability to automatically identify objects in various orientations and positions, requiring manual adjustment and being ineffective in heterogeneous object streams.
Innovation Solution
A drop perception system with multiple perception units positioned to capture data from different angles as objects fall through, using cameras and lasers to identify barcodes and other visual markings on objects, allowing for automated sorting without mechanical conveyance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed barcode scanners are used in industrial applications, then the scanning position can be controlled, but the range of barcode placement is limited and requires tight control
Solution Approach 1:
The patent transitions from a single fixed scanning position to multiple scanning positions arranged in an array, adding spatial dimensionality to the scanning system. This allows barcodes to be detected from multiple angles and positions simultaneously, greatly expanding the acceptable range of barcode placements while maintaining detection accuracy.
Solution Approach 2:
The scanning system is divided into multiple independent scanning units arranged in an array, where each unit can detect barcodes within its specific field of view. This segmentation allows the system to cover a broader range of barcode positions by combining detections from multiple segments.
2Adaptability or versatility
If manual barcode scanning is used, then flexibility in handling various objects is possible, but productivity is reduced
Solution Approach 1:
The system enables automated identification of objects through multiple perception units that automatically detect and read barcodes without human intervention. Objects pass through the scanning array and are identified based on barcode readings from multiple angles, eliminating the need for manual scanning while maintaining flexibility in handling various object types.
Solution Approach 2:
The patent replaces manual mechanical scanning operations with an automated optical sensing system. Multiple perception units use cameras and lasers to automatically detect, capture, and decode barcodes, substituting human operators with an automated vision-based identification system that increases productivity while maintaining adaptability.
3Device complexity
If a single perception unit is used, then the system is simple, but reliable identification of objects in various orientations is not achieved
Solution Approach 1:
The patent combines multiple perception units into a single integrated scanning array system. Each perception unit contributes its detection capability to the overall system, and their combined data is processed to reliably identify objects regardless of orientation. This merging maintains relative simplicity while significantly improving identification reliability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable and efficient automated identification and sorting of objects in various orientations and positions, improving the accuracy and speed of the sorting process by minimizing the need for manual intervention and optimizing scanner placement.
Implementation Method 1
using cameras and lasers to identify barcodes and other visual markings on objects
Data Source
AI summary
A drop perception system is disclosed that includes an open housing structure having an internal volume, an open top and an open bottom, and a plurality of perception units positioned to capture perception data within the internal volume at a plurality of locations between the open top and the open bottom of the open housing.