AI Object Recognition for Remote Physical Characteristic Detection
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Solution Overview
Problem
Existing AI systems fail to effectively determine the physical characteristics of objects in images, limiting users' ability to obtain rich information about objects' conditions remotely, such as dust, cleaning, wet, or dry status, without physical interaction.
Innovation Solution
A method and system using AI and machine learning models to recognize objects in images, extract candidate parameters, compare them with reference parameters, and generate visual indications or control instructions for physical characteristics, leveraging advanced generative adversarial networks (GANs) for accurate and enhanced physical characteristics generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional image viewing methods are used, then users can view objects in images, but users cannot obtain physical characteristics of objects remotely
Solution Approach 1:
The patent introduces an intermediary system consisting of AI models and machine learning algorithms that act as a mediator between the user and the object. This intermediary analyzes the image data and extracts physical characteristics (such as dust level, wet/dry status, cleaning status) that are not directly visible to the user, thereby enabling remote users to obtain detailed physical information about objects without physical contact
Solution Approach 2:
The patent replaces the mechanical approach of physically touching or being close to an object to assess its condition with an automated computational system. The AI-based analysis system processes image data to determine physical characteristics, substituting the need for physical interaction with an automated digital analysis mechanism
2Loss of information
If AI models and machine learning are used to determine physical characteristics, then rich object information is obtained, but system complexity increases
Solution Approach 1:
The patent segments the complex AI system into distinct functional modules: object recognition module, parameter extraction module, physical characteristic determination module, and analysis module. Each module performs a specific function in the processing pipeline, making the overall complex system more manageable and easier to implement by dividing it into smaller, specialized components
Solution Approach 2:
The patent creates a universal AI-based analysis system that can determine multiple types of physical characteristics (dust level, wet/dry status, cleaning status, smoothness, roughness) across different types of objects using the same core technology platform. This multi-functional approach reduces complexity compared to having separate specialized systems for each characteristic type
Data Source
AI summary
A method for determining a physical characteristic of an object is provided. The method includes recognizing, by an electronic device, an object in a candidate image. Further, the method includes extracting, by the electronic device, a plurality of candidate parameters of the recognized object in the candidate image. Further, the method includes determining, by the electronic device, physical characteristics of at least one portion of the recognized object in the candidate image by comparing the plurality of candidate parameters with a plurality of reference parameters of a reference object in a reference image. Further, the method includes storing, by the electronic device, the physical characteristics of the at least one portion of the recognized object.