Remote Camera Coordinate Transformation via Digital Map
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing remote-control camera systems face difficulties in accurate positioning due to the lack of calibrated parameters for panning, tilting, and zooming, making it challenging to transform between image coordinates and object coordinates on a digital map effectively.
Innovation Solution
A system comprising a camera device with a remote-control camera and a control device that includes an input/output module, an image database module, a transformation module, and a digital map module, which enables the transformation of image coordinates into object coordinates and vice versa, using a transformation function that accounts for panning, tilting, and zooming parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a remote-control camera system is used for monitoring, then the monitored area can be watched remotely, but accurate positioning is difficult due to lack of calibrated parameters for panning, tilting and zooming
Solution Approach 1:
The system performs preliminary calibration by capturing images of known reference objects (such as building corners or map features) and automatically computing the relationship between camera coordinates and map coordinates. This preliminary action establishes the transformation parameters before actual positioning operations, eliminating the need for manual calibration during use.
Solution Approach 2:
The patent introduces a digital map as an intermediary between the camera system and the physical environment. By mapping real-world locations to coordinate systems, the system enables accurate positioning without requiring direct calibration of camera parameters. The digital map serves as a mediator that translates camera views into precise location information.
2Measurement precision
If transformation between image coordinates and object coordinates is implemented, then positioning accuracy is improved, but the system complexity increases due to additional modules required
Solution Approach 1:
The patent combines multiple functions into integrated modules: the image database module stores both images and their corresponding coordinate information, the transformation module performs coordinate conversions, and the digital map module provides spatial reference. These merged modules work together as a cohesive system, reducing overall complexity compared to separate independent components.
Solution Approach 2:
The transformation module serves multiple purposes: it converts image coordinates to object coordinates for positioning, converts object coordinates to image coordinates for camera control, and supports both forward and inverse transformations. This multi-functionality reduces the need for separate dedicated modules for each transformation direction.
Data Source
AI summary
A system is used to remotely control camera positioning. A transformation model is used. By in putting image coordinates of the monitored position form camera, the object coordinates is obtained and displayed on a digital map. By inputting object coordinates on a digital map, image coordinates for the camera is obtained. After transferring parameters for camera positioning, the camera is moved to a desired position for monitoring an area and taking a photo.