AI Expression Delivery via Pre-captured Image Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies face challenges in delivering AI-based images effectively to human targets in various environments, such as wearables and motor vehicles, due to limitations in real-time data processing, image distortion, and target recognition.
Innovation Solution
The system employs transistor-based circuitry to invoke AI-based expressions on portable units, which interact with networks to deliver optimized AI-based images. This involves capturing human responses using cameras and sensors, and using machine learning protocols to adapt image delivery based on physical features and target characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI-based images are delivered in real-time to moving targets, then user engagement is improved, but image distortion increases due to target motion
Solution Approach 1:
The system performs preliminary actions by capturing images at multiple predetermined angles and positions before the actual messaging event. These pre-captured images are stored and later selected based on the target's actual position, allowing the system to deliver accurate images in real-time without suffering from motion-induced distortion.
Solution Approach 2:
The system dynamically adjusts the image selection and delivery based on real-time detection of target characteristics and environmental conditions. By continuously monitoring target position and selecting the most appropriate pre-captured image, the system adapts to changing conditions while maintaining image accuracy.
2Manufacturing precision
If multiple images are captured and stored for different angles, then image delivery accuracy is improved, but device memory requirements increase
Solution Approach 1:
Instead of uniformly capturing images at all possible angles, the system selectively captures images at specific predetermined angles and positions that are most relevant to the particular target and environment. This localized approach ensures high delivery accuracy for expected scenarios while minimizing unnecessary storage requirements.
3Manufacturing precision
If target position is precisely detected, then image selection accuracy is improved, but detection complexity increases
Solution Approach 1:
The system uses intermediary components such as sensors and processors that simplify the detection process. These intermediaries translate complex environmental data into simplified target position information that can be directly used for image selection, reducing the overall system complexity while maintaining detection accuracy.
Data Source
AI summary
Systems, methods, and computer program products are disclosed in regard to causing a first artificial-intelligence-based expression to be presented via a portable unit based on a user-provided component or a current presentation context (or both). In some variants the presentation is tailored to a delivery zone of the expression or to behavior or other attributes of an intended target.