Image Sensing Pixel Logic Using Opposite Threshold Shifts
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Solution Overview
Problem
Traditional image sensing computing systems are complex and inefficient due to the need for signal processing modules to perform logical operations on light signals, resulting in long signal paths and redundant data, which hampers image perception computing efficiency.
Innovation Solution
An image sensing computing unit comprising two photosensitive units connected in series, where the threshold voltage change direction of one unit is opposite to the other when illuminated, enabling in-situ logical operations between light signals, eliminating the need for additional processing modules by directly converting light signals into logical outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional image sensing computing system uses separate image sensing module and computing processing module, then functional separation is achieved, but system complexity increases and computing efficiency decreases
Solution Approach 1:
The patent merges the image sensing function and computing processing function into a single integrated pixel unit. The photosensitive transistor serves dual purposes: converting light to electrical signals and performing logical operations on these signals. This integration eliminates the need for separate sensing and processing modules, thereby reducing system complexity while maintaining functional separation through the transistor's multi-functional design.
Solution Approach 2:
The photosensitive transistor is designed as a universal component that performs multiple functions: photoelectric conversion, signal amplification, and logical operations (AND, OR, NAND, NOR). By making the transistor multi-functional, the patent eliminates the need for dedicated separate modules for each function, thus reducing overall system complexity while maintaining the reliability of functional separation through software or control logic.
2Reliability
If traditional system transmits light signals to separate computing module, then processing function is separated, but signal transmission distance increases and computing efficiency decreases
Solution Approach 1:
The patent combines the sensing and processing functions at the same physical location within the pixel unit. The photosensitive transistor processes the electrical signals generated from light conversion immediately at the sensing site, eliminating the need for long-distance signal transmission to a separate computing module. This spatial merging directly reduces signal transmission time and improves computing efficiency.
Solution Approach 2:
The pixel unit performs self-processing of the signals it generates. The photosensitive transistor automatically conducts logical operations on the electrical signals produced during photoelectric conversion, without requiring external processing modules. This self-service capability eliminates signal transmission delays and improves computing efficiency by processing data at its source.
3Reliability
If traditional system uses separate modules for sensing and computing, then module specialization is achieved, but redundant data increases and efficiency decreases
Solution Approach 1:
The patent extracts the essential computing function from the separate processing module and embeds it directly into the pixel unit. By taking out only the necessary logical operation capability and integrating it with the sensing function, the system eliminates redundant data transmission and processing steps. The photosensitive transistor performs only the essential logical operations needed, reducing redundant data while maintaining module specialization through the transistor's dedicated structure.
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 configuration simplifies the system, reduces complexity, and enhances processing efficiency by directly performing photoelectric conversion and logical operations, thereby improving the efficiency of light signal processing.
Implementation Method 1
convert light signal into an electrical signal in the image sensing module
Data Source
AI summary
The present disclosure provides an image sensing computing unit and its operating method, an image sensing computer and an electronic device. Among them, the image sensing computing unit includes a first photosensitive unit and a second photosensitive unit. The second photosensitive unit is connected in series with the first photosensitive unit. The changing direction of the first threshold voltage of the first photosensitive unit when receiving light is opposite to the changing direction of the second threshold voltage of the second photosensitive unit when receiving light, so as to implement an in-situ logical operation between light input signals.