Surveillance Camera Angle Detection via Image Line Analysis
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Solution Overview
Problem
Conventional surveillance apparatuses require manual measurement of installation angle and height, which is labor-intensive and costly, or use sensors that increase hardware costs, making them uncompetitive in the market.
Innovation Solution
A camera angle detection method and apparatus that automatically detects the inclined angle of the surveillance apparatus by analyzing straight lines in the surveillance image, using an image receiver and operation processor to compute the camera's optical axis angle relative to its supporting plane, without the need for manual measurement or additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement of installation angle and height is used, then measurement accuracy can be achieved, but labor cost and operation complexity increase
Solution Approach 1:
The surveillance apparatus automatically detects its own installation angle and height by analyzing straight lines in captured images, eliminating the need for external manual measurement. The system performs self-calibration by detecting parallel lines in the surveillance region, computing their intersection point, and deriving angle and height information purely through image processing algorithms.
2Extent of automation
If sensors such as gravity sensor or proximity sensor are added, then automatic detection capability is achieved, but hardware cost increases
Solution Approach 1:
The patent replaces physical sensors (mechanical systems) with image processing algorithms (information processing systems). Instead of using gravity sensors or proximity sensors to detect installation angle and height, the system uses the existing image receiver to capture images and processes these images through algorithms that detect straight lines, compute intersection points, and derive the required parameters purely through computational methods.
3Device complexity
If software computation method is used, then hardware cost is reduced, but detection accuracy may be compromised
Solution Approach 1:
The system creates a virtual model of the physical installation geometry by detecting straight lines in the image and computing their mathematical intersection point. This virtual geometric model accurately represents the physical camera angle and height relationships, allowing precise measurement through software computation without physical sensors.
Data Source
AI summary
A camera angle detection method is applied to a surveillance apparatus and includes detecting a plurality of straight lines within a surveillance image acquired by the surveillance apparatus, selecting at least one first candidate parallel line and at least one second candidate parallel line from the plurality of straight lines according to a directional trend, stretching the first candidate parallel line and the second candidate parallel line to acquire an intersection point, and computing parameter difference between the intersection point and a reference point of the surveillance image so as to transform the parameter difference to acquire a tilted angle of an optical axis of a lens of the surveillance apparatus relative to a supporting plane where the surveillance apparatus is located.