Autonomous Image Object Recognition System
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Solution Overview
Problem
Existing methods for obtaining information from images, such as manually reviewing videos or photographs, are labor-intensive, time-consuming, and inaccurate, lacking the ability to autonomously identify objects without human intervention.
Innovation Solution
A method and apparatus that autonomously recognizes objects in images using an image analyzer, capable of identifying information like actions, movements, and locations without regard to the object's appearance, location, or orientation, employing image capturing elements, processing devices, and databases to analyze and output information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of images is used to obtain information about objects, then accuracy of information extraction can be maintained through human judgment, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces the mechanical system of manual human review with an automated image analysis system that uses processing devices and algorithms to extract information about objects, their actions, movements, and locations from images and video frames, thereby eliminating labor-intensive manual processes while maintaining accuracy through systematic computational analysis
Solution Approach 2:
The system enables self-service by allowing the image analysis apparatus to autonomously extract and process information without requiring human intervention or input, automatically identifying objects and their attributes directly from the image data through the processing device and database operations
2Adaptability or versatility
If manual review of images is used to obtain information about objects, then flexibility in handling various object types can be maintained through human adaptability, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent implements a universal image analysis system that can handle multiple types of objects and extract various information attributes (actions, movements, locations) through a single automated apparatus, eliminating the need for separate manual review processes for different object types and significantly reducing the time required while maintaining versatility through the processing device's ability to analyze diverse image content
3Productivity
If automated image analysis is implemented to extract information autonomously, then productivity and speed of information extraction are improved, but the system complexity increases
Solution Approach 1:
The patent segments the image analysis function into distinct modular components: an image analyzer module that processes images, a processing device that executes analysis algorithms, and a database that stores reference information and results. This segmentation enables high-speed automated information extraction while managing system complexity through modular architecture, where each component performs a specific function and can be independently optimized or replaced
Data Source
AI summary
A method and apparatus for autonomously recognizing at least one object in an image is provided. The method includes obtaining an image and providing an image analyzer for autonomously analyzing the image and autonomously identifying at least one item of information regarding at least one object in the image. The at least one item of information regarding the at least one object may be identified without regard to the at least one object's appearance, location, or orientation in the image and without requiring any outside intervention or human input, so that information regarding the at least one object, such as the at least one object's actions, movements, and locations may be obtained from the image.