JOURNAL ARTICLE

Perovskite retinomorphic image sensor for embodied intelligent vision

Abstract

Retinomorphic systems that can see, recognize, and respond to real-time environmental information will extend the complexity and range of tasks that an exoskeleton robot can perform to better assist physically disabled people. However, the lack of ultrasensitive, reconfigurable, and large-scale integratable retinomorphic devices and advanced edge-processing algorithms makes it difficult to realize retinomorphic hardware. Here, we report the retinomorphic hardware prototype with a 4096-pixel perovskite image sensor array as core module to endow embodied intelligent vision functionalities. The retinomorphic sensor array, using a one photodetector–one transistor geometry to resemble retinal circuit with broadband, ultrahigh, and reconfigurable photoresponsivities, executes both adaptive imaging with a contrast enhancement of ~620% under a dim-lit intensity of 10 microwatts per square centimeter and an instantaneous one-dimensional feature extraction algorithm to decompose the origin visual scenarios into parsimoniously encoded spatiotemporal information. This retinomorphic system endows embodied intelligence with adaptive imaging, in situ processing, and decision-making capabilities and promises enormous potential for autonomous robot applications.

Keywords:
Computer science Robot Artificial intelligence Computer vision Image sensor Photodetector Wearable computer Pixel Machine vision Image processing Enhanced Data Rates for GSM Evolution Computer hardware Embedded system Image (mathematics) Materials science

Metrics

37
Cited By
74.80
FWCI (Field Weighted Citation Impact)
58
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Neural Networks and Reservoir Computing
Physical Sciences →  Computer Science →  Artificial Intelligence
Perovskite Materials and Applications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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