Voice Programmable AIDC System with Virtual Tags
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Solution Overview
Problem
Automatic Identification and Data Capture (AIDC) systems are hindered in consumer and small business settings due to high costs and inconvenience of programming and maintaining AIDC systems, particularly in home settings, where manual data entry for AIDC tags is time-consuming and requires technical expertise, making them unfeasible without economies of scale.
Innovation Solution
A voice-programmable AIDC system that uses virtual ID tags and artificial intelligence to simplify the identification and tracking of items, reducing the need for physical tags by generating unique digital signatures based on item characteristics and using assistive markings when necessary, allowing users to interact with the system via voice commands for data association, modification, and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data entry is used to program and maintain AIDC tags, then data can be associated with items, but the process becomes time-consuming and requires technical expertise
Solution Approach 1:
The patent replaces manual data entry (mechanical typing process) with voice-based natural language processing. Users speak commands in everyday language, and the system automatically parses and executes them, eliminating the need for technical knowledge of data entry formats or AIDC system configuration syntax.
Solution Approach 2:
The system automatically processes voice commands, identifies intended operations, and executes data association tasks without requiring user intervention for formatting or technical configuration. The AI interprets intent and performs the complete data entry workflow autonomously based on spoken instructions.
2Reliability
If physical AIDC tags are used for item identification, then items can be tracked, but the cost of tags and labor for attaching them increases
Solution Approach 1:
The patent creates virtual digital replicas of physical tags within the system's database. Each item receives a unique digital identifier stored in the AIDC system, which functions equivalently to a physical tag but eliminates the need for manufacturing and physically attaching material tags to every item.
Solution Approach 2:
The invention extracts the essential identification function from physical tags and relocates it to a digital domain. The physical tag material and attachment hardware are removed from the system, retaining only the core functionality of unique item identification through virtual digital identifiers.
Data Source
AI summary
The proposed invention significantly reduces, simplifies, or removes the need for physical tags by generating virtual identification tags for full or partial identification of the individual storage item that can be tracked and managed in voice-enabled Automatic Identification and Data Capture (AIDC) systems. Specifically, it utilizes multiple sensors to observe different characteristics of storage items and intelligently guides the user to selectively modify or add characteristics to the storage item for improving identification without the need for AIDC tags on every item.