Pan-tilt Image Capture System with Automatic Angle Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The preparation procedures for capturing high-resolution images through mosaicking two low-resolution images from cameras are complicated and time-consuming, requiring repeated adjustments of camera angles and image processing steps.
Innovation Solution
An image capture system with a pan-tilt head and driving mechanism, including at least two image capture devices with prime lenses of identical focal length, a distance obtaining module, and a processor to calculate and adjust the relative rotation angle of the devices based on the object's distance and visual angle, allowing automatic positioning for accurate image capture without the need for test images or extensive processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual test image capture and repeated angle adjustment is used, then image mosaicking quality can be improved, but preparation time and procedural complexity increase significantly
Solution Approach 1:
The system performs preliminary calculations of the relative rotation angle based on object distance and visual angle parameters before actual image capture. The processor calculates the optimal angle configuration in advance using the formula β = f(L, α), where L is object distance and α is visual angle, eliminating the need for repeated manual test captures and adjustments.
Solution Approach 2:
The system automatically determines the optimal camera angles and positions through self-calibration using the measured object distance and visual angle. The controller autonomously adjusts the relative rotation angle β without requiring manual intervention or repeated test image capture, making the system self-configuring.
2Manufacturing precision
If manual angle adjustment and repeated testing is performed, then accurate image alignment can be achieved, but operational complexity increases
Solution Approach 1:
The system replaces manual mechanical angle adjustment with an automated calculation and control system. The processor computes the optimal relative rotation angle β based on object distance L and visual angle α, and the controller automatically positions the cameras, substituting manual mechanical operations with intelligent automated control.
Solution Approach 2:
The system uses feedback from the measured object distance L and visual angle α to automatically determine the optimal relative rotation angle β. The controller continuously monitors and adjusts the camera positions based on calculated parameters, ensuring accurate image alignment without manual intervention.
3Manufacturing precision
If multiple test images are captured and processed, then optimal mosaicking parameters can be determined, but processing time and computational resources increase
Solution Approach 1:
The system introduces an intermediate calculation step where the processor computes the optimal relative rotation angle β using the measured object distance L and visual angle α. This mathematical intermediary eliminates the need for capturing and processing multiple test images, directly providing the optimal mosaicking parameters through calculation rather than iterative testing.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The present disclosure provides an image capture system and an image capture method. The image capture system includes: a pan-tilt-head with a driving-and-supporting mechanism; an image capture module configured to capture images to be mosaicked, where the image capture module includes at least two image capture devices fixed on the driving-and-supporting mechanism and arranged side by side in a horizontal direction or a vertical direction, and lenses of the at least two image capture devices are prime lenses of an identical focus length; a distance obtaining module configured to obtain a distance between a to-be-captured object and the image capture module; a processor configured to calculate a width P of the to-be-captured object which is capable of being currently captured by one of the image capture devices based on the distance L and a visual angle of the image capture device in the horizontal direction or the vertical direction, and calculate a relative rotation angle of the at least two image capture devices in the horizontal direction or the vertical direction based on the width; and a controller configured to control the image capture device to rotate based on the relative rotation angle.