Smart Post Conveyor System with Semantic Item Detection
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Solution Overview
Problem
Conveyor systems face challenges in being coupled and enhanced to effectively manage and control items through advanced manipulation and augmentation capabilities, particularly in environments requiring flexible and intelligent management.
Innovation Solution
A semantic cloud system comprising multiple computers with processors, memory, and communication interfaces, programmed to apply semantic drift and entropy analysis from connected sensing devices to infer and implement measures for non-affirmative circumstances, enabling smart post systems with modular components for sensing, communication, and semantic augmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conveyor systems are coupled and enhanced with modular components, then manipulation and augmentation capabilities are improved, but device complexity increases
Solution Approach 1:
The conveyor system is divided into modular components including smart posts, conveyor segments, and sensor modules that can be independently configured and assembled. Each module performs specific functions (sensing, communication, mechanical conveyance) and can be coupled with other modules to create customized conveyor configurations for different applications.
Solution Approach 2:
The smart post modules serve multiple functions including structural support, sensor hosting, communication relay, and mechanical coupling points. This multi-functionality reduces the need for separate specialized components, thereby managing complexity while enhancing versatility.
2Measurement precision
If sensors and barriers are added to detect item weight, size, location, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensing functions (weight detection, size measurement, location tracking) are integrated into the smart post modules that are already part of the conveyor structure. This consolidation approach allows precise item detection without adding separate complex sensor systems, as the same modular units perform both structural and sensing roles.
3Adaptability or versatility
If semantic analysis and cloud systems are implemented, then adaptability and intelligence are improved, but loss of information and processing time increase
Solution Approach 1:
The system pre-processes and filters sensor data at the edge devices (smart posts and local controllers) before transmitting to the cloud. This preliminary action includes data validation, anomaly detection, and feature extraction, which reduces the volume of information requiring cloud processing and minimizes information loss during transmission.
Solution Approach 2:
The semantic cloud system implements continuous feedback loops where processed information is used to dynamically adjust conveyor operations in real-time. This feedback mechanism ensures that the system adapts to changing conditions while maintaining efficient processing by only transmitting relevant updated information rather than complete datasets.
Data Source
AI summary
A conveyor system includes a plurality of posts having one or more rollers and a conveying surface for conveying a conveyable item. A memory in communication with one or more processors stores conveyable item data including one or more images, size, and weight for conveyable items. One or more sensors is in communication with the one or more processors to provide optical or weight information of an item on the conveying surface, used by the one or more processors to determine that an item is on the conveying surface and to semantically match the conveyable item identified on the conveying surface with stored conveyable item data.