Multi-core Sensor Data Evaluation for Value Documents
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current sensor data evaluation methods for value documents are inefficient due to limited local resolution, processing speed, and the need for real-time authentication, which demands enhanced processing capabilities for precise property establishment and sorting.
Innovation Solution
A multi-core processor-based evaluation device with a management subgroup and an evaluation subgroup, where the management subgroup manages memory and generates evaluation information, and the evaluation subgroup performs high-processing-load evaluations, allowing for faster and more precise sensor data evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors with higher local resolution are used to capture more sensor data, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent divides the evaluation device into multiple independent evaluation units, each capable of processing sensor data in parallel. This segmentation allows the system to handle large volumes of high-resolution sensor data simultaneously, reducing overall processing time while maintaining measurement precision.
Solution Approach 2:
The patent transitions from sequential single-core processing to parallel multi-core processing architecture. By adding the dimension of parallelism through multiple evaluation units that can independently process different aspects of sensor data, the system achieves both high measurement precision and reduced processing time.
2Measurement precision
If more elaborate evaluation methods are employed to establish properties more precisely, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The evaluation device is segmented into multiple independent evaluation units, each responsible for specific evaluation tasks. This modular architecture enables complex evaluation methods to be distributed across multiple units, reducing the complexity burden on any single unit while collectively achieving high measurement precision.
Solution Approach 2:
Each evaluation unit is designed with multi-functional capabilities to handle various types of sensor data and perform different evaluation tasks. This universality allows the system to implement elaborate evaluation methods without proportionally increasing device complexity, as the same units can adapt to different evaluation requirements.
3Productivity
If real-time evaluation is required for fast sorting, then productivity is improved, but measurement precision may deteriorate
Solution Approach 1:
The system segments the evaluation process into multiple parallel evaluation units that simultaneously process different aspects of sensor data. This parallel processing enables real-time evaluation and fast sorting while maintaining measurement precision, as multiple units work concurrently to complete the evaluation within the required time frame.
Solution Approach 2:
The evaluation units are pre-configured with evaluation algorithms and criteria, allowing them to immediately process sensor data without requiring complex real-time decision-making. This preliminary preparation enables both fast processing for real-time sorting and accurate measurement by using established evaluation methods.
Data Source
AI summary
A method for evaluating sensor data for a value document includes a memory and a multi-core processor arranged to access the memory. A management sub-group of the cores comprises at least one of the cores, and at least one evaluation subgroup of the cores comprises at least one other of the cores. The management subgroup manages the memory regarding the storing of at least the sensor data and generates evaluation information for carrying out the evaluation. At least one evaluation subgroup carries out at least one part of the evaluation in dependence on the evaluation information and stores the result in the memory.