Voice-Programmable AIDC System for Consumer Inventory
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automatic Identification and Data Capture (AIDC) systems are hindered in consumer and small business markets due to high costs and inconvenience of programming and maintaining AIDC systems, particularly in home settings, where manual data entry for item association, modification, and configuration is time-consuming and requires technical expertise, limiting their adoption.
Innovation Solution
A voice-programmable AIDC system that uses artificial intelligence to associate, modify, and manage data on AIDC tags within storage containers, allowing users to interact via voice commands for data entry and management, integrating AIDC sensors, auxiliary sensors, and a processor unit connected to a network server for automated inventory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual data entry is used to associate and maintain data on AIDC tags, then data can be entered and modified, but the process becomes time-consuming and requires technical expertise
Solution Approach 1:
The patent replaces manual data entry operations with voice-based natural language processing. Users speak commands to associate, modify, or retrieve data linked to AIDC tags, eliminating the need for manual typing or navigation through technical interfaces. This substitution of mechanical data entry with speech-based interaction directly reduces time consumption and technical skill requirements.
Solution Approach 2:
The system introduces an AI-based natural language processing intermediary that translates spoken commands into structured data operations. This intermediary layer handles the complexity of data association and modification, allowing users to interact through simple speech while the system manages the underlying data structure and AIDC tag associations.
2Adaptability or versatility
If AIDC systems are implemented in consumer and small business markets, then inventory tracking capability is provided, but the cost and complexity of programming and maintenance increase
Solution Approach 1:
The patent replaces complex programming interfaces with voice-based natural language commands. Instead of requiring users to write code or navigate complex configuration menus, they simply speak their intentions, and the AI system translates these into appropriate data structures and AIDC tag associations. This dramatically reduces the technical expertise needed for system setup and maintenance.
Solution Approach 2:
The system enables users to independently perform data association, modification, and retrieval operations through voice commands without requiring technical support or programming knowledge. Users can autonomously manage their own AIDC systems, adding items, modifying data, and querying information as needed, which reduces maintenance complexity and empowers end-users.
3Ease of operation
If voice interaction is implemented for data management, then ease of use improves and costs reduce, but system complexity increases
Solution Approach 1:
The patent introduces an AI-based natural language processing intermediary that handles the complexity of voice recognition and interpretation. This intermediary translates diverse speech inputs into standardized data operations, shielding users from system complexity while enabling sophisticated data management capabilities through simple voice commands.
Solution Approach 2:
The system replaces traditional mechanical interfaces (keyboards, mice, dropdown menus) with voice-based interaction. This substitution simplifies user operations significantly, as speaking is more natural and requires less precision than manual input methods, while the underlying system complexity is managed through AI processing of speech patterns and intent recognition.
Data Source
AI summary
The proposed invention significantly lowers the burden of electronics data entry, as well as maintenance and configuration of an Automatic identification and data capture (AIDC) system, by making it programmable by voice and using artificial intelligence. Specifically, it proposes an AIDC sensor equipped storage container and AIDC system which can track items equipped with one or more AIDC tags, and any data can be associated, augmented, modified, removed or rewritten by using voice interaction by a user.