Creation of smart control automation systems with integration of artificial intelligence and advanced machine vision technologies in educational institutions
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Abstract
Higher education institutions are receiving a major facelift due to the adoption of AI and Machine Vision into their smart automation systems. This paper aims to determine the potential impact of the implementation of these systems on the improvement of operational effectiveness, customization of learning, as well as safety. The researchers carried out a thorough literature review of the newer works about AI in the educational process, machine vision algorithms, and architectures of smart automation. Experts’ interviews and case studies helped to identify crucial challenges and chances. It is observed that there are various aspects that affect the successful adoption and integration of systems into organizations which include data governance frameworks, standards for interoperability, and the level of stakeholder engagement. This work is significant for the educators, the technology providers, and the government officials who are interested in the performance of AI and machine vision in various educational environments.
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