Vehicle Identification via Image Classification
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Solution Overview
Problem
Existing mobile computing technologies lack efficient systems and methods for accurate object recognition, particularly in identifying and classifying vehicles based on image data.
Innovation Solution
A vehicle identification system that uses computer vision and object recognition techniques to identify vehicles within image data received from a client device, generate bounding boxes, crop images, classify vehicles, and present notifications with classification information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If object recognition technology is implemented in mobile computing, then vehicle identification capability is improved, but system complexity increases
Solution Approach 1:
The system segments the vehicle identification process into distinct modules: image capture, preprocessing, feature extraction, classification, and result presentation. Each module handles a specific aspect of the recognition pipeline, making the overall complex system manageable and maintainable while achieving high identification accuracy
Solution Approach 2:
The patent introduces intermediary components such as preprocessing filters and feature extraction layers that mediate between raw image data and the final classification decision. These intermediaries simplify the core recognition task by transforming complex input data into more manageable representations
2Loss of information
If detailed vehicle classification is provided, then information completeness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing images and extracting key features before the actual classification step. This preliminary processing organizes the data in advance, enabling faster and more accurate classification without requiring exhaustive analysis of the entire image during the critical decision-making phase
Solution Approach 2:
The patent applies partial action by focusing classification efforts on the most discriminative features and regions of the image rather than analyzing every pixel uniformly. This selective approach provides sufficient classification detail while significantly reducing overall processing time
Data Source
AI summary
A system to navigate a browser based on image data may perform operations that include: receiving a scan request from a client device, the scan request including an image that comprises image data; identifying an object depicted within the image based on the image data; determining a classification of the object; and navigating a browser associated with the client device to a resource based on the classification.