Object Recognition for Software Benefit Verification
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Solution Overview
Problem
Existing methods for providing software benefits to consumers, such as unlocking virtual rewards, are cumbersome and error-prone, especially for young consumers who struggle with entering lengthy alphanumeric codes.
Innovation Solution
A system that uses computer vision and object recognition to detect consumer objects via a camera, automatically determining and providing associated software benefits without the need for manual code entry, allowing for local or remote verification and benefit delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a unique alphanumeric registration code is provided on the consumer product to verify purchase, then the software benefit can be provided to the consumer, but the process becomes awkward and confusing for consumers, especially young consumers
Solution Approach 1:
The patent replaces the manual mechanical process of reading and typing alphanumeric codes with an automated optical recognition system. The camera captures an image of the consumer object, and image recognition technology automatically identifies and verifies the product, eliminating the need for manual code entry while maintaining verification accuracy.
Solution Approach 2:
The system enables the consumer object itself to provide the verification information through its visual characteristics. The object's appearance, packaging, or embedded features serve as the verification mechanism, allowing the system to self-verify the product without requiring the consumer to manually input codes.
2Reliability
If a lengthy registration code is required for verification, then the purchase can be verified, but it becomes difficult to accurately enter the code and increases the likelihood of consumer error
Solution Approach 1:
The patent replaces the error-prone manual code entry process with automated image capture and recognition. The camera system captures the product image, and software algorithms automatically extract and verify the registration information, eliminating typing errors and improving verification accuracy.
Solution Approach 2:
Instead of requiring consumers to manually transcribe the registration code from the product packaging, the system creates a digital copy of the product image and automatically extracts the verification information from this copy, eliminating the need for manual transcription and reducing errors.
3Reliability
If manual code entry is required, then the verification process can be completed, but the process is time-consuming and frustrating for consumers
Solution Approach 1:
The patent replaces the time-consuming manual process of reading, remembering, and typing registration codes with instant automated image recognition. The camera captures the product image and the system immediately processes and verifies it, dramatically reducing the time required for verification while ensuring accurate completion.
Solution Approach 2:
The system performs preliminary recognition and verification actions automatically in the background. The image recognition technology pre-processes the captured image, extracts verification information, and validates it before presenting the final result to the consumer, streamlining the overall verification process.
Data Source
AI summary
According to some embodiments, it may be recognized that a consumer has placed a consumer object, such as a toy or action figure, into a field of view of a camera (e.g., a video camera incorporated into a portable computer). A software benefit associated with the consumer object may then be automatically determined, and, responsive to the recognition and determination, it may be arranged for the consumer to receive that software benefit (e.g., in a virtual world).