On-the-Fly Sensor Data Projection for Real-Time Image Acquisition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data acquisition systems face challenges in processing images on the fly due to high memory and processing requirements for projecting images into a distinct representation domain, which is problematic for real-time applications.
Innovation Solution
An electronic system with a sensor and processing device that performs on-the-fly projection of sensor values into a representation domain using cascaded stages timed by a clock signal, reducing memory and processing time by parallelizing calculations with image reading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image projection is performed using a transformation matrix, then the image can be transposed into a specific representation domain, but significant memory and processing resources are required
Solution Approach 1:
The transformation matrix multiplication operation is segmented into three distinct stages: (1) multiplying the original image by the transformation matrix to obtain intermediate values, (2) multiplying the intermediate values by diagonal matrix coefficients, and (3) summing the products to generate the projected image. This segmentation allows each stage to be processed independently and in parallel with image reading operations.
Solution Approach 2:
The system performs preliminary actions by initiating the projection calculation stages before the complete image data is available. The first stage (multiplying original image by transformation matrix) can begin as soon as the first pixel values are read, and subsequent stages are pipelined to execute in parallel with the image reading process, rather than waiting for complete image acquisition.
2Measurement precision
If complete image data is stored before processing, then accurate projection can be achieved, but memory requirements and processing time increase
Solution Approach 1:
The system maintains continuous useful action by overlapping the image reading process with the projection calculation process. While the sensor continues to output image data, the processing device simultaneously performs the three-stage projection calculation on the data that has been read, ensuring that no time is wasted waiting for complete image acquisition before processing begins.
Solution Approach 2:
The projection calculation is initiated in advance before the complete image data is available. The first stage of calculation begins as soon as the first pixel values are read from the sensor, and the subsequent stages are pipelined to execute continuously, reducing the overall processing time compared to waiting for complete image acquisition.
3Productivity
If on-the-fly processing is implemented, then real-time processing is achieved, but calculation accuracy may be compromised
Solution Approach 1:
The calculation is segmented into three distinct stages that can be executed in a pipelined manner. Each stage performs a specific mathematical operation (matrix multiplication, diagonal scaling, and summation) that maintains numerical accuracy while enabling parallel execution with image reading, thus preserving calculation accuracy during real-time processing.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The invention relates to an electronic system comprising: a sensor (201) adapted to successively provide n vectors Li each containing k values Li(j); and an electronic device (403) for on-the-fly processing of the values measured by the sensor, comprising: - a first stage (407) adapted, for each supply of a vector Li by the sensor, to multiply the k values Li(j) of the vector Li by respectively k coefficients bi(j), and to provide a vector T1i of k values T1i(j); - a second stage (409) adapted, for each supply of a vector T1i, to multiply the vector T1i by a matrix à of k*p coefficients, and to provide a vector T2i of p values T2i(l); and - a third stage (411) adapted to numerically integrate the n vectors T2i, and to provide an output vector IT of p values IT(l).