Mobile Device Accessory Identification via Image Recognition
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Solution Overview
Problem
The complexity of identifying and training vehicle accessories, particularly trainable control systems, is hindered by variations in appearance and training instructions across different models, manufacturers, and geographic regions, leading to confusion for users and limited utilization.
Innovation Solution
A method and system using a mobile device with image capture capabilities to identify vehicle accessories by comparing captured features with a database, providing access to training information and instructions, facilitating easy setup and utilization of trainable control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional identification methods are used for vehicle accessories, then users can identify accessories, but the process becomes complex and time-consuming due to variations in appearance and training instructions across different models and manufacturers
Solution Approach 1:
The patent replaces manual identification methods (reading manuals, comparing physical features) with an optical/image-based identification system. The mobile device captures an image of the vehicle accessory and uses image processing to automatically identify the accessory type, replacing the mechanical/manual process with an optical-digital system that simplifies user interaction while handling complexity in the background.
Solution Approach 2:
The system enables self-service identification where the mobile device automatically captures images, processes them through image recognition algorithms, and retrieves appropriate training instructions without requiring user intervention for manual lookup or comparison. The accessory identifies itself through its visual features captured in the image.
2Loss of information
If comprehensive training instructions are provided for all accessory variations, then all users can find their specific instructions, but the information storage and retrieval becomes complex
Solution Approach 1:
The patent creates a digital copy of the physical accessory's visual features through image capture and processing. Instead of managing physical manuals for every accessory variation, the system creates and stores digital representations (image data) that can be automatically processed and matched, simplifying information management while ensuring comprehensive coverage of all accessory types.
Solution Approach 2:
The system transforms the identification process from manual parameter comparison (reading model numbers, comparing physical characteristics) to automated image parameter analysis. By changing the identification parameters from text-based to image-based, the system can handle variations in appearance and instructions more efficiently through pattern recognition and image matching algorithms.
3Loss of time
If manual identification processes are used, then users can identify accessories, but the time required for identification and setup increases
Solution Approach 1:
The system performs preliminary action by pre-processing and storing image data of various vehicle accessories in a database before actual identification is needed. When a user points the mobile device at an accessory, the system compares the captured image against pre-processed reference images, enabling rapid identification without requiring real-time complex analysis or manual searching.
Data Source
AI summary
A method for identifying a vehicle accessory with a mobile device is disclosed. The method comprises receiving an input in the mobile device and activating an identification function in a control circuit of the mobile device in response to the input. An image viewfinder is initiated in response to the activation of the identification function. The viewfinder is used to capture an image of the vehicle accessory including at least one feature. The at least one feature in the image is compared to a plurality of corresponding features of a plurality of compatible vehicle accessories. Based on the comparison, an identity of the vehicle accessory is identified. Training information for the vehicle accessory is then accessed and displayed on the mobile device to facilitate at least one setup task of the vehicle accessory in response to identifying the vehicle accessory.