Perception Transfer Velocity Matching for Accurate Object Routing
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Solution Overview
Problem
Current object processing systems face inefficiencies in handling objects of varying sizes and weights, relying heavily on human labor and struggling with incorrect labeling, leading to challenges in automated processing and rejection of objects with inconsistent data.
Innovation Solution
A dynamic movement analytics system utilizing a programmable motion device with an end-effector and perception transfer system that includes perception units for data collection on weight, shape, pose authority, and identity, enabling efficient routing of objects to destination containers through a combination of rotational and linear movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated processing systems are implemented to handle objects of varying sizes and weights, then productivity is improved, but the system becomes less reliable when encountering objects with incorrect labeling or inconsistent data
Solution Approach 1:
The system performs multiple perception scans of the same object at different locations and times, comparing the results to detect inconsistencies. This feedback mechanism allows the system to identify and handle objects with incorrect labeling, improving reliability while maintaining automated high-speed processing
Solution Approach 2:
The system conducts preliminary perception scans and data validation before final routing decisions are made. By performing advance checks on object characteristics and manifest data, the system can identify potential issues early in the processing stream, preventing errors from propagating through the automated system
2Reliability
If human labor is used for sortation and inspection, then reliability is improved through manual verification, but productivity decreases due to slower processing speeds
Solution Approach 1:
The system performs self-verification by automatically scanning objects multiple times and comparing perception data against manifest information without requiring human intervention. This automated self-checking mechanism maintains high reliability while preserving fast processing speeds, eliminating the need for manual verification steps
3Measurement precision
If multiple perception scans are performed on each object, then measurement precision is improved for detecting inconsistencies, but loss of time increases due to additional scanning operations
Solution Approach 1:
The system performs perception scans at periodic intervals as objects move through different zones of the processing system, rather than requiring all scans to complete before processing begins. This allows overlapping scan operations to proceed in parallel with object movement, improving measurement precision without proportionally increasing total processing time
Data Source
AI summary
A dynamic movement analytics system is disclosed that includes a programmable motion device including an end-effector, and a perception transfer system for receiving an object from the end-effector and for moving the object toward a distribution conveyance system moving in a first direction at a first speed. The perception transfer system includes at least one perception system for providing perception data regarding any of weight, shape, pose authority, position authority or identity information regarding the object and for moving the object along the first direction at the first speed for transferring the object to the distribution conveyance system.