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A Scalable Perovskite Platform With Multi-state Photoresponsivity For In-sensor Saliency Detection.

Home
A Scalable Perovskite Platform With Multi-state Photoresponsivity For In-sensor Saliency Detection.

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A Scalable Perovskite Platform With Multi-State Photoresponsivity for In-Sensor Saliency Detection.

Xuechao Xing¹, Anubhab Tripathi², Si En Ng¹

¹School of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.

Advanced Materials (Deerfield Beach, Fla.)

|April 30, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

Researchers developed a new perovskite-based in-sensor computing (ISC) platform for artificial vision. This scalable, solution-processable technology enhances energy efficiency and performance in edge intelligence applications.

Keywords:

face detection halide perovskites in‐sensor computing ion migration reconfigurable photoresponsivity

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Area of Science:

Materials Science
Computer Engineering
Artificial Intelligence

Background:

Artificial vision systems are crucial for edge intelligence but face challenges with data latency and energy consumption due to separate sensors and processors.
In-sensor computing (ISC) integrates sensing and computation to overcome these limitations, but existing ISC devices struggle with scalability, uniformity, and processability.

Purpose of the Study:

To address the limitations of current ISC devices by developing a reconfigurable perovskite-photovoltaic platform.
To enable facile solution processing, precise photoresponsivity tuning, and fabrication on diverse substrates.

Main Methods:

Developed a reconfigurable perovskite-photovoltaic platform processed from solutions.
Demonstrated precise photoresponsivity tuning with ultra-low variability.

Fabricated devices on rigid and flexible substrates, including a 32x32 array for scalability testing.

Main Results:

Achieved high photoresponsivity (up to ±1120 mA W⁻¹) and 1000 programmable states with excellent air stability and thermal reliability.
Demonstrated a scalable 32x32 array with excellent uniformity and programmability.
Utilized the ISC array for energy-efficient face detection (95.2% sensitivity, 4.51x speedup), image feature extraction, and MNIST digit recognition (96.97% accuracy).

Conclusions:

Established a practical, scalable, and stable perovskite-based ISC platform.
The platform offers enhanced tunability and fabrication capabilities compared to previous ISC implementations.
Opens new avenues for intelligent computing in robotics, wearable electronics, and neuromorphic vision.