Image Sensor Analog Inference Circuit for On-Chip MAC Processing

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Solution Overview

Problem

Image sensors generate large amounts of data that are inefficient to process using general-purpose microprocessors for tasks like image segmentation and object recognition, requiring specialized circuits for efficient multiplication and accumulation operations.

Innovation Solution

An integrated circuit device with an image sensing pixel array, memory cell array, and inference computation circuits, utilizing hybrid bonding to connect an image sensor chip and memory chip to a logic wafer, enabling direct multiplication and accumulation operations using memory cells to perform inference computations like artificial neural networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If general-purpose microprocessors are used for image processing, then device complexity is reduced, but computation performance and processing efficiency deteriorate

Engineering Contradiction:
Improvedevice complexityVSAvoidcomputation performance
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The system segments the image processing function by separating the pixel array from the processing logic. The pixel array generates image data while dedicated inference computation circuits perform specialized processing tasks, dividing the overall system into functionally distinct modules that can operate independently yet cooperatively.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary inference computation circuit that sits between the image sensor and general-purpose microprocessor. This intermediary handles intensive multiplication and accumulation operations, transferring only essential results to the microprocessor rather than raw image data, thus reducing the microprocessor's burden while maintaining high computation performance.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If image data is transmitted to external processors, then processing flexibility is maintained, but data transmission overhead and processing efficiency deteriorate

Engineering Contradiction:
Improveprocessing flexibilityVSAvoiddata transmission overhead
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent extracts the intensive computation operations (multiplication and accumulation) from the external processor and places them in dedicated inference computation circuits within the image sensor module. This extraction eliminates the need to transmit large volumes of raw image data externally, removing data transmission overhead while preserving the ability to perform flexible image processing through programmable inference circuits.

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If specialized inference circuits are integrated into the image sensor, then computation performance is improved, but device complexity and manufacturing difficulty increase

Engineering Contradiction:
Improvecomputation performanceVSAvoiddevice complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The inference computation circuits are designed with multi-functionality, capable of performing various image processing tasks including multiplication, accumulation, and different inference algorithms. This universal design allows a single integrated circuit structure to handle multiple processing requirements, improving computation performance without proportionally increasing device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses memory cell arrays to store weight values and input data, effectively copying data structures needed for computation. This approach simplifies the integration of inference circuits by leveraging existing memory architectures rather than requiring entirely new computational hardware, thus improving performance while managing device complexity.

Inventive Principle:
Principle #26Copying

4Device complexity

If multiplication and accumulation operations are performed externally, then circuit design is simplified, but processing speed and energy efficiency deteriorate

Engineering Contradiction:
Improvecircuit designVSAvoidprocessing speed
Core Design Contradiction:
Device complexityVSSpeed

Solution Approach 1:

The patent merges the multiplication and accumulation operations into a single integrated inference computation circuit within the image sensor. This merging eliminates the need for separate processing stages and data transfers, significantly improving processing speed and energy efficiency while maintaining manageable circuit design through modular architecture.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12538048B2Image sensor with analog inference capability
Publication Date: 2026.01.27 MICRON TECHNOLOGY INC
  • US12538048B2 patent drawing
  • US12538048B2 patent drawing
  • US12538048B2 patent drawing

AI summary

An integrated circuit device including: a first integrated circuit die having an image sensing pixel array; a second integrated circuit die having an image processing logic circuit and an inference logic circuit; and a third integrated circuit die having a memory cell array. The second integrated circuit die and the third integrated circuit die are connected via a direct bond interconnect. The inference logic circuit is configured to process an image from the image sensing pixel array via multiplication and accumulation operations based on memory cells in the memory cell array having threshold voltages programmed to store data in multiplications and output currents from the memory cells connected to lines in summations.