Time Scaling Waveforms for Motion-Independent Object Detection
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Solution Overview
Problem
Existing techniques face challenges in effectively extracting information about moving objects due to motion interference and computational difficulties in processing time-varying waveforms, particularly in determining object position and phase information.
Innovation Solution
The method involves performing time scaling on sensed time-varying waveforms and obtaining a periodicity value from periodic modulation to extract motion-independent information, using this information to encode and decode data about object characteristics, such as position and spectrum, through excitation and filter arrangements in a fluidic structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time-varying waveforms are processed to extract object information, then information extraction capability is improved, but computational complexity increases
Solution Approach 1:
The patent applies preliminary action by performing time scaling on waveforms before processing to extract object information. The system pre-processes the time-varying waveforms by adjusting their time scales to match reference waveforms, which simplifies subsequent comparison and information extraction operations, thereby reducing overall computational complexity while maintaining extraction accuracy
Solution Approach 2:
The patent utilizes parameter changes by transforming the time scale parameter of waveforms. By changing the time scale parameter to align sensed waveforms with reference waveforms, the system enables more efficient pattern recognition and object identification, improving information extraction capability while managing computational requirements through parameter transformation rather than complex algorithms
2Loss of information
If motion information is included in sensing results, then object characterization is improved, but measurement accuracy deteriorates due to motion interference
Solution Approach 1:
The patent applies segmentation by separating motion-related information from static object characteristics. The system processes time-varying waveforms to extract both dynamic (motion) and static (object properties) information components, allowing accurate characterization of objects while compensating for or removing motion interference effects from position and phase measurements
Solution Approach 2:
The patent utilizes feedback by comparing sensed time-varying waveforms against reference waveforms and using the comparison results to correct or compensate for motion-induced measurement errors. This feedback mechanism enables the system to maintain high measurement precision for position and phase while still capturing complete object information including motion characteristics
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 enables accurate and efficient extraction of object information, including position and type, by mitigating the effects of motion and reducing computational complexity, thereby improving the precision and speed of data processing.
Implementation Method 1
A photosensing component can provide sensing results in the form of time-varying electrical signals
Data Source
AI summary
Sensing results from moving objects, e.g. from photosensing emanating light or from impedance-based sensing, can indicate sensed time-varying waveforms with information about objects. For example, a sensed time-varying waveform can be compared with another waveform, such as a reference waveform produced by objects of a certain type, to obtain comparison results indicating motion-independent information about the object; time-scaling can adjust for displacement rate such as speed. Also, a modulation periodicity value can be obtained from a sensed time-varying waveform and used in obtaining information about an object; for example, a periodic modulation frequency can be used with a given time's chirp frequency to obtain phase information about an object's position. Or, where periodic modulation frequency indicates displacement rate, time scaling during comparison can use a scaling factor based on the frequency. Objects can move fluidically as in flow cytometry or through scanning movement, as in document scanning.