AI System Pre-processing Unit for Valid Data Selection
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Solution Overview
Problem
Conventional artificial intelligence systems face challenges in processing large amounts of sensing data efficiently, leading to increased power consumption and computation requirements, while maintaining data analysis accuracy.
Innovation Solution
An artificial intelligence system incorporating a pre-processing unit that generates differential signals from sensing signals from multiple sensors and selects valid data based on these signals, reducing the amount of data input to the AI module by comparing the differential signals with a reference signal, thereby minimizing computation and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all sensing data from multiple sensors is input to the artificial intelligence module, then data analysis accuracy is maintained, but power consumption and computation requirements increase significantly
Solution Approach 1:
The pre-processing unit performs preliminary filtering and selection of sensing data before it reaches the artificial intelligence module. By comparing differential signals against reference signals in advance, the system identifies and removes invalid data points, ensuring that only valid data requiring analysis is processed by the AI module. This preliminary action maintains analysis accuracy while reducing the computational burden and power consumption of the AI module.
2Measurement precision
If all sensing data from multiple sensors is input to the artificial intelligence module, then data analysis accuracy is maintained, but computation requirements increase significantly
Solution Approach 1:
The pre-processing unit extracts and removes invalid data from the sensing data stream before it reaches the artificial intelligence module. By comparing differential signals against reference signals and eliminating data that does not meet validity criteria, the system extracts only the meaningful information that requires AI processing. This extraction process maintains the accuracy of data analysis while significantly improving computation efficiency by reducing the volume of data the AI module must process.
3Use of energy by moving object
If the amount of sensing data is reduced to minimize computation, then power consumption decreases, but data analysis accuracy may be compromised
Solution Approach 1:
The system changes the parameter of data validity by comparing differential signals against reference signals. This parameter change enables the pre-processing unit to distinguish between valid and invalid data points based on signal characteristics. By filtering data based on these parameter changes, the system reduces the amount of data processed (lowering power consumption) while ensuring that only valid data points are removed, thereby maintaining data analysis accuracy.
Data Source
AI summary
Provided is an artificial intelligence system. The system includes a first sensor configured to generate a first sensing signal during a sensing time, a second sensor disposed adjacent to the first sensor and configured to generate a second sensing signal during the sensing time, a pre-processing unit configured to select valid data according to a magnitude of a differential signal generated based on a difference between the first sensing signal and the second sensing signal, and an artificial intelligence module configured to analyze the valid data to generate result data.