Depth Sensing Pixel Shared Readout Port Design
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Solution Overview
Problem
Existing depth sensing pixel technologies face challenges in precision and efficiency due to the dependency on fabrication tools' precision and the need for multiple readout ports, which can lead to increased size and mismatches in signal processing.
Innovation Solution
A depth sensing pixel design that incorporates a single readout port using a shared floating diffusion node and a correlated double sampling method to separate in-phase and out-of-phase charges, reducing noise and size, and a composite pixel image sensor that combines image sensing and depth sensing capabilities with a shared readout circuit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple readout ports are used for depth sensing pixels, then signal processing capability is improved, but device size and manufacturing complexity increase
Solution Approach 1:
The patent combines multiple readout functions into a single shared readout port that sequentially handles both in-phase and out-of-phase charges from depth sensing pixels. This merging approach maintains signal processing capability while reducing device size and manufacturing complexity by eliminating the need for separate readout circuits for each charge type.
Solution Approach 2:
The patent implements periodic action by sequentially reading out in-phase charges during a first time period and out-of-phase charges during a second time period through the shared readout port. This time-division multiplexing approach allows a single readout port to handle multiple signal types without requiring simultaneous processing paths, thereby reducing device complexity while maintaining measurement precision.
2Adaptability or versatility
If depth sensing pixel is positioned behind image sensing pixel, then composite pixel functionality is achieved, but fabrication precision requirements increase
Solution Approach 1:
The patent segments the sensor into distinct regions: a first region containing image sensing pixels and a second region containing depth sensing pixels. This spatial segmentation allows each pixel type to be optimized independently while maintaining their composite functionality, reducing the need for precise alignment between overlapping structures and thereby lowering fabrication precision requirements.
Solution Approach 2:
The patent transitions from a vertical stacking approach (positioning depth sensing pixels behind image sensing pixels along the light path) to a planar arrangement where depth sensing pixels are positioned in a second region adjacent to or around the first region containing image sensing pixels. This dimensional change eliminates the need for precise vertical alignment through multiple layers, significantly reducing fabrication precision requirements while maintaining composite pixel functionality.
3Measurement precision
If in-phase and out-of-phase charges are read out separately through different ports, then signal processing accuracy is improved, but mismatches in signal processing occur
Solution Approach 1:
The patent merges the readout paths for in-phase and out-of-phase charges into a single shared readout port. This ensures that both charge types undergo identical signal processing operations through the same circuitry, eliminating mismatches in gain, offset, and noise characteristics that would occur with separate readout ports, while maintaining signal processing accuracy through sequential processing.
Solution Approach 2:
The patent uses correlated double sampling where the out-of-phase charge readout serves as a reference copy that mirrors the signal processing path of the in-phase charge readout. By processing both charge types through the same shared readout port in sequence, the system creates a matched pair of measurements that can be differential processed to eliminate systematic errors, ensuring signal processing consistency while maintaining accuracy.
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
The solution enhances precision and reduces noise by using a single readout port for both in-phase and out-of-phase charges, while also minimizing the overall size of the depth sensing circuit and eliminating mismatches in signal processing, thereby improving the accuracy and efficiency of depth sensing.
Implementation Method 1
A depth sensing pixel includes a pinned photodiode configured to receive electromagnetic radiation and convert the received electromagnetic radiation into photo charges
Data Source
AI summary
A sensor includes a plurality of image sensors, wherein each image sensor of the plurality of image sensors is configured to detect a first spectrum of light. The sensor further includes a depth sensing pixel bonded to each image sensor of the plurality of image sensors, wherein the depth sensing pixel is configured to detect a second spectrum of light different from the first spectrum.


