Consumer Product Source Origin Identification System
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Solution Overview
Problem
Current systems lack the ability to automatically identify the source origin of consumer products and provide users with relevant processing and alternative product suggestions based on user preferences and location, especially in scenarios with intermittent network availability.
Innovation Solution
A system comprising electronic devices with image sensors, image processing controllers, and identification controllers that retrieve meta data to identify product types, determine source origins, and suggest alternatives using relational data, while also utilizing short-range communications and beacons for location-based filtering and availability updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system stores consumer product data locally in electronic devices, then network dependency is reduced and functionality is maintained during intermittent network availability, but device storage requirements and data synchronization complexity increase
Solution Approach 1:
The system divides product data into multiple segments distributed across different electronic devices. Each device stores a portion of the consumer product database locally, allowing independent operation while maintaining collective completeness. This segmentation enables devices to function autonomously during network outages while distributing the storage burden across the network.
Solution Approach 2:
The system introduces a synchronization mechanism that acts as an intermediary between local device storage and remote server storage. This mediator coordinates data updates and resolves conflicts between locally cached data and server data, enabling reliable offline operation while maintaining data consistency when network connectivity is restored.
2Measurement precision
If the system uses image sensors and image processing to identify product types, then product identification accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of image data by extracting key features and characteristics before full product identification. The image processing controller pre-processes captured images to identify distinctive product features, packaging characteristics, and visual patterns, reducing the computational burden of subsequent identification steps and enabling faster query responses.
Solution Approach 2:
The system uses partial image analysis by focusing on specific regions of interest within product images rather than processing entire images at full resolution. The image processing controller identifies and analyzes only the critical portions of product packaging and labeling that contain identification information, reducing processing time while maintaining identification accuracy.
3Adaptability or versatility
If the system provides comprehensive alternative product suggestions with location filtering, then user relevance and personalization are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system dynamically adjusts alternative product suggestions based on real-time user preferences, location data, and purchase history. The identification controller continuously updates suggestion algorithms as user profiles evolve and new products are added to the database, enabling adaptive personalization without requiring complete system redesign. Location-based filtering dynamically incorporates GPS data to suggest nearby product availability.
4Measurement precision
If the system uses short-range beacons and GPS receivers for location-based product availability, then product location accuracy and availability information are improved, but energy consumption and device complexity increase
Solution Approach 1:
The system uses periodic beacon transmissions rather than continuous monitoring to determine product location and availability. Bluetooth Low Energy beacons transmit location information at intervals, allowing devices to update their position awareness efficiently without continuous energy expenditure. GPS location updates are similarly triggered periodically or upon significant position changes rather than continuously.
Data Source
AI summary
There is provided a system comprising a plurality of electronic devices, each electronic device comprising an image sensor and an image processing controller operably coupled thereto which obtains image data from a consumer product and which processes the image data to identify a type of the consumer product, an identification controller which retrieves meta data including source origin data according to the type of the consumer product; and a user interface controller which controls a user interface displayed by digital display to update the user interface according to the meta data.