Enhancing machine vision accuracy through programmable infrared sensors using van der Waals heterostructures

Abstract

This article explores the potential of programmable infrared (IR) sensors utilizing van der Waals heterostructures to improve accuracy and versatility of machine vision systems. The van der Waals heterostructure is composed of stacked 2D materials such as graphene, transition metal disulfide, and black phosphorus, which have adjustable optical-electronic properties and solve the limitations of traditional infrared sensors, such as high-power consumption, fixed sensitivity, and environmental constraints. By dynamically adjusting the sensitivity and spectral response, these programmable sensors show excellent adaptability, enabling them to be integrated into a variety of applications, including autonomous vehicle, industrial automation and environmental monitoring.

This paper used review and meta-analysis to evaluate the performance advantages of these advanced sensors, with a focus on indicators such as sensitivity, response time, spectral range, and power efficiency. The key findings emphasize the ability of IR sensors based on van der Waals to operate with high accuracy and minimal energy consumption at room temperature. In addition, design considerations, manufacturing challenges, and integration strategies were discussed, providing a comprehensive framework for future development. This study emphasizes the transformative impact of programmable infrared sensors on machine vision, efficient, and adaptable systems in dynamic environments.