Dual Camera Object Tracking via Segmented Monitoring and Capture
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Solution Overview
Problem
Conventional electronic devices struggle to automatically capture images of moving objects without manual intervention, often failing to maintain focus or adjust composition effectively.
Innovation Solution
An electronic device equipped with a first camera for wide-angle viewing and a second camera with a narrower viewing angle, along with a processor that monitors objects and adjusts the capturing composition to ensure rapid and natural image capture, even when objects move out of the initial camera's range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single camera is used for image capture, then the device structure is simple, but the device cannot effectively track and capture moving objects
Solution Approach 1:
The camera system is segmented into two distinct cameras: a first camera with a wide viewing angle for monitoring and detecting moving objects, and a second camera with a narrow viewing angle for capturing detailed images. This segmentation allows each camera to specialize in its function, improving overall moving object capture capability while maintaining a relatively simple dual-camera structure.
2Area of stationary object
If the camera viewing angle is widened to capture more area, then the coverage area increases, but the image detail and quality of specific objects decrease
Solution Approach 1:
The viewing angle requirement is segmented between two cameras: the first camera uses a wide viewing angle to cover a large area and detect moving objects, while the second camera uses a narrow viewing angle to capture high-quality detailed images of specific objects. This segmentation resolves the contradiction by assigning different area-quality requirements to different camera components.
Solution Approach 2:
Different parts of the camera system are assigned different quality characteristics: the first camera prioritizes wide coverage area for detection purposes, while the second camera prioritizes high image quality and detail for capture purposes. This local quality differentiation allows the system to optimize both area coverage and image quality simultaneously.
3Measurement precision
If the camera continuously tracks moving objects, then the object capture accuracy improves, but the response time and capturing speed decrease
Solution Approach 1:
The first camera continuously monitors and detects moving objects in advance, identifying their positions and movements before the second camera captures detailed images. This preliminary detection action allows the system to maintain high capturing speed while ensuring accurate object tracking, as the second camera only needs to capture when triggered by the first camera's detection.
Data Source
AI summary
An electronic device, according to various embodiments, may comprise: a first camera having a first viewing angle; a second camera having a second viewing angle; and a processor for causing the first camera to monitor each of one or more subjects, and causing the second camera to photograph a subject that has moved from among the one or more subjects. Other embodiments are possible.