Position Data Elimination for Efficient Object Tracking
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Solution Overview
Problem
Existing data acquisition devices face challenges in efficiently processing and transmitting position data from moving objects, particularly when the object's positional changes occur rapidly, leading to data overload and difficulty in visual recognition of movement tracks.
Innovation Solution
A data acquisition device equipped with a processor that eliminates redundant position data based on mode signals from an information processing device, and a communication circuit that transmits processed data, allowing for efficient data transmission and visualization of movement tracks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all position data are transmitted without elimination, then measurement precision is improved, but data transmission load increases
Solution Approach 1:
The patent extracts and eliminates redundant position data from the complete set of position data before transmission. The elimination processing removes unnecessary data points while preserving essential movement information, thereby reducing data transmission load while maintaining adequate tracking precision.
Solution Approach 2:
The patent changes the parameter of data quantity by selectively eliminating position data based on movement characteristics. The elimination determination unit adjusts which data points to remove based on object movement speed and distance changes, optimizing the balance between data precision and transmission efficiency.
2Productivity
If position data are eliminated to reduce data load, then data transmission efficiency is improved, but measurement precision deteriorates
Solution Approach 1:
The patent dynamically adjusts elimination criteria based on movement parameters. When objects move rapidly or cover large distances, fewer data points are eliminated to maintain precision. When movement is slow or localized, more aggressive elimination can occur, thus adapting precision to actual needs while optimizing transmission efficiency.
Solution Approach 2:
The elimination processing is dynamic rather than static. The system continuously evaluates movement characteristics and adjusts which position data to eliminate in real-time, ensuring that precision is maintained when needed while maximizing data reduction when possible.
3Measurement precision
If high-frequency position data are captured to track rapid movement, then measurement precision is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only the essential position data needed for accurate tracking after high-frequency capture. By eliminating redundant data points that do not contribute to tracking precision, the processing complexity is reduced while maintaining the ability to track rapid movements accurately.
Solution Approach 2:
The system performs excessive data capture at high frequency but then applies partial processing by eliminating most data points. This approach ensures no movement detail is lost during capture, while the elimination step reduces subsequent processing complexity to manageable levels.
Data Source
AI summary
A data acquisition device including a processor which performs processing of eliminating some of a plurality of position data indicating mutually different positions of a moving object, in accordance with a mode signal from an information processing device, and a communication circuit which transmits the position data subjected to elimination processing by the processor to the information processing device.