Motorized Camera Rotation for Efficient 3D Target Localization
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Solution Overview
Problem
Existing systems require significant computational resources and storage space to accurately estimate the location of a target object in complex environments, necessitating a more efficient method for precise 3D spatial coordinate estimation.
Innovation Solution
An electronic system comprising a camera device with a motor for pan and tilt rotation, a first server device for angle control, and a second server device for determining 3D coordinates using 3D map information and angle information, minimizing the need for extensive data processing and storage by aligning the camera with the target object and calculating candidate coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vast amounts of data are stored and processed to accurately estimate the location of the target object, then measurement precision is improved, but device complexity and use of energy increase
Solution Approach 1:
The patent extracts and utilizes pre-existing 3D map information from external sources rather than storing and processing all raw sensor data locally. By separating the storage of comprehensive 3D environmental data from the processing device, the system achieves accurate location estimation without burdening the device with vast data storage requirements
Solution Approach 2:
The system performs preliminary actions by pre-building and storing 3D map information in advance. This pre-processed spatial data structure is prepared beforehand, allowing the location estimation algorithm to work with organized, pre-segmented environmental information rather than raw unprocessed data, thereby reducing computational complexity during actual operation
2Measurement precision
If vast amounts of data are stored and processed to accurately estimate the location of the target object, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent extracts essential spatial information from pre-stored 3D map data rather than processing complete raw datasets. By selectively using only the necessary 3D map information relevant to the current estimation task, the system minimizes computational load and associated energy consumption while maintaining estimation accuracy
Solution Approach 2:
The system changes the parameter representation by working with pre-processed 3D map coordinates and spatial parameters rather than raw sensor streams. This parameter transformation reduces the computational intensity of the estimation algorithm, thereby lowering power consumption during location determination
3Measurement precision
If extensive data processing is performed to estimate the location of the target object, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary organization of environmental data by pre-building 3D maps with structured spatial information. This advance preparation of data structures enables faster query and processing during actual location estimation, improving processing efficiency without sacrificing accuracy
Solution Approach 2:
The patent extracts only the essential 3D spatial parameters needed for location estimation from the environmental data, rather than processing complete datasets. This selective extraction of critical information reduces processing time and increases productivity while maintaining estimation precision
Data Source
AI summary
Disclosed is an electronic system. The electronic system includes a camera device including a camera and a motor that rotates the camera, a first server device that provides the motor with an angle control signal for obtaining first image data corresponding to a first scene including a target object by the camera, and a second server device. The camera device is configured to rotate the camera based on the angle control signal, to obtain the first image data by the rotated camera, and to provide the first server device with the first image data and angle information indicating a rotation state of the camera. The second server device is configured to determine estimated candidate coordinates of coordinates, at which the target object is located, in three-dimensional (3D) space based on 3D map information and the angle information received from the first server device.