Autonomous Camera Platform for Image Scoring and Preselection
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Solution Overview
Problem
Users face challenges in capturing and selecting images that evoke strong emotional responses, as existing technologies limit the ability to take and review a large number of images, especially in varying locations and orientations, making it difficult to share high-quality images on social media.
Innovation Solution
A system utilizing a movable platform equipped with a camera that autonomously captures images while moving, calculates image scores based on features like aesthetics and saliency, and adjusts its movement path to optimize image quality, allowing for automatic selection and preselection of images for sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a user manually captures and reviews images to select high-quality photos for social media, then the user can personally curate images, but the user is limited in the number of images that can be reviewed and the time required increases
Solution Approach 1:
The system enables automatic image capture and selection without requiring continuous user intervention. The movable platform autonomously navigates to optimal positions, captures images, and the computing device automatically evaluates images using aesthetic criteria, thereby eliminating the need for manual review of every captured image.
Solution Approach 2:
The patent replaces the manual mechanical process of image review with an automated computational system. The computing device uses image processing algorithms and aesthetic evaluation models to automatically assess image quality, substituting human visual inspection with machine-based automated evaluation.
2Quantity of substance
If a movable platform autonomously captures images while moving, then the number of images captured increases, but the complexity of the system increases
Solution Approach 1:
The system is divided into distinct functional modules: a movable platform for autonomous navigation and image capture, a computing device for aesthetic evaluation, and an output interface for presenting selected images. This segmentation allows each component to perform its specific function independently, managing overall system complexity.
Solution Approach 2:
The movable platform serves multiple functions: it autonomously navigates to optimal positions, captures images from various angles and positions, and can be controlled to move to specific locations. This multi-functionality increases image capture quantity without proportionally increasing system complexity.
3Measurement precision
If image scores are calculated based on multiple features like aesthetics and saliency, then the quality of image selection improves, but the computational processing time increases
Solution Approach 1:
The system pre-calculates aesthetic scores for images as they are captured or shortly thereafter, rather than waiting until all images are collected. This preliminary evaluation allows the system to identify high-quality images early in the process, reducing the total computational time required for subsequent selection and presentation.
Solution Approach 2:
The computing device evaluates multiple image parameters simultaneously (aesthetic quality, saliency, composition rules) and combines them into a single composite score. This parameter aggregation approach maintains measurement precision while optimizing processing efficiency by evaluating multiple features in parallel rather than sequentially.
4Manufacturing precision
If the movable platform moves to optimize image scores, then the quality of captured images improves, but the time required to capture images increases
Solution Approach 1:
The system employs periodic evaluation of image scores during the capture process. Instead of continuously moving to optimize every possible angle, the platform captures images at regular intervals or at predetermined positions, evaluating scores periodically to determine if further movement is warranted. This approach maintains image quality while reducing total capture time.
Solution Approach 2:
The system uses real-time feedback from image score calculations to guide the movable platform's movement. The computing device evaluates captured images and provides feedback on aesthetic quality, which the platform uses to determine whether to move to a new position or continue capturing at the current location. This feedback-driven approach optimizes image quality without unnecessary movement.
Data Source
AI summary
The invention regards a method and respective system for assisting a user in producing and selecting images. When moving a moveable platform on which a camera is mounted, a plurality of images is captured with the camera. At least one image score for at least one region of the image is calculated in a processor, and those images, for which the at least one image score fulfils a selection condition, or identifiers of such images, are stored in a list in a memory. The stored images or the identifiers that allow retrieval of the stored images are output via an interface.