Monitoring Camera Error Correction via Image Feedback
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Solution Overview
Problem
Monitoring cameras often fail to accurately zoom and pan to selected regions due to errors in control data, leading to distorted images, as they convert 2D user selections to 3D camera movements, which increases manufacturing costs and results in inaccurate image representation.
Innovation Solution
A monitoring camera system that includes an image acquiring unit, a control unit for zooming, panning, and tilting, and an error detecting unit, which uses frequency conversion and memory-stored control data to determine and correct zoom, pan, and tilt values, ensuring accurate image representation by comparing first and second image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the monitoring camera converts 2D user selections to 3D camera movements using control data, then the user can select and enlarge certain regions of the live-view video image, but errors occur during zooming/panning/tilting causing the camera to zoom on regions other than the selected region
Solution Approach 1:
The patent implements a feedback mechanism where the monitoring camera compares the actually captured image after zooming/panning/tilting with the expected image data. The camera calculates the difference between these images and uses this feedback to generate corrected control data, thereby improving the accuracy of subsequent zooming operations and resolving the issue of zooming on wrong regions.
Solution Approach 2:
The patent stores predetermined control data in advance that maps 2D region selections to 3D camera movements. This preliminary preparation of control data allows the system to quickly respond to user selections while providing a basis for subsequent error correction through comparison with actual captured images.
2Manufacturing precision
If error correction mechanisms are implemented to detect and correct zooming errors, then manufacturing precision is improved, but device complexity increases due to additional processing requirements
Solution Approach 1:
The monitoring camera performs self-correction by automatically comparing its own captured images with expected image data and generating corrected control data without external intervention. This self-service approach improves precision while avoiding the need for additional complex external correction systems.
Solution Approach 2:
The patent replaces complex mechanical adjustment mechanisms with software-based image processing and computational correction. By using digital image comparison and algorithmic control data generation, the system achieves high precision without adding mechanical complexity.
Data Source
AI summary
A monitoring camera and a method of controlling the monitoring camera are provided. The monitoring camera includes: a data receiving unit receiving a signal from a terminal; an image acquiring unit having a zoom lens and an imaging device generating first image data of an original image, and further, generates second image data of a user-selected region by performing at least one of zooming, panning and tilting based on control data; a data transmitting unit transmitting the first image data and the second image data generated by the imaging device to the terminal; a control unit including at least one of a zoom control unit controlling the zoom lens according to a zoom value, a pan control unit panning the image acquiring unit according to a pan value and a tilt control unit tilting the image acquiring unit according to a tilt value; a memory storing the control data.