Remote Control Camera Estimating Features Using Noise Light Points
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Solution Overview
Problem
Existing remote control systems face challenges in accurately estimating control features due to the presence of stray light points from noise sources, which are difficult to filter and eliminate effectively.
Innovation Solution
The system employs a camera to detect light points from both beacons and non-beacons, using information from both sources to improve estimation of control features by processing data across time-intervals, allowing for the inclusion of additional information to compensate for missing data and enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filtering and elimination methods are used to remove noise light points, then measurement precision may improve, but device complexity and difficulty of operation increase significantly
Solution Approach 1:
The patent converts the harmful noise light points into beneficial information sources by using them as reference points for estimating control features. Instead of attempting to filter out all non-beacon light points through complex algorithms, the system recognizes that these noise sources can serve as additional reference points, thereby transforming the problem from noise elimination to noise utilization.
Solution Approach 2:
The patent extracts only the essential geometric relationship information from light points (position, distance, orientation) while discarding the need to identify or classify the source type of each light point. This extraction approach simplifies the system by focusing solely on the spatial information needed for control feature estimation, rather than attempting to distinguish between beacon and non-beacon sources.
2Measurement precision
If complex filtering algorithms are implemented to eliminate stray light, then measurement precision improves, but loss of time increases due to extensive processing
Solution Approach 1:
The patent eliminates the time-consuming filtering process by converting noise light points into useful reference points. This approach removes the need for extensive processing to distinguish between valid and invalid light sources, as all light points can be utilized for estimation purposes, thereby significantly reducing processing time while maintaining or improving measurement precision.
Solution Approach 2:
Instead of filtering out noise as traditionally done, the patent inverts the approach by accepting and utilizing all light points including noise sources. This inversion eliminates the filtering step entirely and directly uses all detected light points for control feature estimation, thereby reducing processing time while maintaining accuracy.
3Reliability
If only beacon light points are used for estimation, then reliability of beacon detection is maintained, but loss of information occurs when beacons are temporarily undetectable
Solution Approach 1:
The patent converts noise light points into beneficial reference points that can compensate for missing beacon data. When beacons are temporarily undetectable, the system can continue estimation using noise light points as substitutes, thereby preventing information loss while maintaining the reliability of the detection system through diverse reference point utilization.
Solution Approach 2:
The patent changes the parameter set used for estimation by incorporating noise light points alongside or instead of beacon light points. This parameter change allows the system to maintain continuous operation and avoid information loss when beacon detection fails, as the estimator can switch to or supplement with noise light point data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the need for extensive filtering and eliminates noise, improving the estimation of control features by utilizing information from non-beacon light points, leading to more robust and accurate control signal processing.
Implementation Method 1
a camera (11) for detecting at least one light point (51, 52, 61, 62)
Data Source
Figure 1~2
Figure 3~5
Figure 6
AI summary
An apparatus (1) estimates control features of remote controls (10) comprising cameras (11) for detecting light points (51, 52) from beacons (31, 32)located at or near devices (20) that are to be controlled via the remote controls (10) by letting the cameras (11) further detect light points (61, 62) from non-beacons (41, 42). Processors (2) estimate the control features in response to information from the detections of the light points (51, 52, 61, 62). The non-beacons (41, 42) comprise noise sources or any other sources different from the beacons (31, 32). Memories (3) store per time-interval the information per detection. The light coming from the beacons (31, 32) may be modulated light and the light coming from the non-beacons (41, 42) may be other light. The information may comprise coordinates, sizes and intensities of light points (51, 52, 61, 62) per detection and per time-interval. The control feature may comprise a pointing position, a distance, a rotation, a tilt, a location, a speed, an acceleration, a movement and/or a zoom of the remote control (10).