Automatic Image Capture Device for Motion Detection
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Solution Overview
Problem
Users face difficulties in capturing images of interesting motion as manual operation of camera controls can distract from experiencing the motion itself, making it challenging to capture high-quality images of dynamic events.
Innovation Solution
An image capture device equipped with an image sensor, optical element, and processor that automatically identifies motions of interest within a wide field of view, determining relevant time durations, and generating multiple high-resolution images or composite images based on these motions, allowing for automatic capture without the need for manual operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual camera controls are used to capture images of interesting motion, then image capture capability is improved, but ease of operation deteriorates
Solution Approach 1:
The image capture device automatically detects motion of interest and captures images without requiring manual operation. The device serves itself by using its own sensors and processors to identify interesting motion and trigger capture, eliminating the need for user intervention while maintaining reliable image capture capability
Solution Approach 2:
The patent replaces manual mechanical operation of camera controls with an automated detection and capture system. Motion sensors and image sensors detect interesting motion, and the processor automatically triggers the capture mechanism, substituting the manual mechanical control system with an automated sensor-processor-actuator system
2Ease of operation
If automatic image capture based on motion is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The image capture device performs multiple functions: it captures images for normal viewing, detects motion of interest, determines time durations, and generates multiple images or composite images automatically. This multi-functionality is integrated into a single device, managing complexity through consolidation rather than adding separate systems
Solution Approach 2:
The patent implements nested processing where motion detection is nested within the image capture system, time duration determination is nested within motion detection, and image generation is nested within time duration processing. This hierarchical nesting organizes complexity in layers, with each subsystem building upon the previous one
3Loss of information
If multiple images are generated from visual content, then information completeness is improved, but loss of substance increases
Solution Approach 1:
The device generates multiple images with different qualities for different purposes: full-resolution images are created only for moments of interest, while other portions use lower resolution or are discarded. This local quality approach ensures information completeness for important moments while reducing overall storage requirements
Solution Approach 2:
The system discards redundant visual information by selectively capturing only moments of interest rather than continuously recording all visual content. By identifying and retaining only the valuable portions (moments of interest), the system recovers essential information while eliminating unnecessary data that would consume storage space
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to capture high-quality images of dynamic events without manual intervention, ensuring that moments of interest are recorded effectively, allowing for more immersive experience and efficient storage of relevant visual content.
Implementation Method 1
The optical element may be configured to guide light within a field of view to the image sensor
Implementation Method 2
The image sensor may be configured to generate an output signal conveying visual information based on light that becomes incident on the image sensor
Data Source
AI summary
An image capture device may automatically capture images. An image sensor may generate visual content based on light that becomes incident thereon. A motion of interest within the visual content may be identified, and multiple images may be generated to include portions of the visual content that span a time duration of interest.