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The Internet of Things, artificial intelligence, machine learning, and big data are just a few of the cutting-edge technologies that are being integrated into manufacturing processes as part of the "Industry 4.0" revolution. Computer vision is an essential component of Industry 4.0 regarding sustainability, developed as a disruptive technology that extracts and interprets visual information from digital photos or videos using image processing techniques and advanced models. In the context of Industry 4.0, this article offers an overview of computer vision, including its associated prospects, difficulties, and applications. A particular emphasis is placed on sustainability. It explores computer vision applications in robotics and automation, safety and security, process optimization, augmented reality, robotics and inspection, object identification and tracking, predictive maintenance, and quality control and inspection. The study also identifies the critical approaches used to overcome the difficulties in implementing computer vision solutions. Incorporating computer vision into Industry 4.0 holds promise for unleashing unprecedented levels of efficiency, novelty, and competitiveness in the industrial sector. The manufacturing and industrial sectors may use Industry 4.0's prospects and adopt sustainable practices by utilizing computer vision and overcoming its inherent limits. This will help to create an eco-conscious and efficient future.
Gill et al. (Mon,) studied this question.
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