Abstract

Digital Twin the emerging and forefront in engineering revolution especially Industry 5.0. It simulates the industry environment and IoT connectivity. IoT enables smart connectivity in various engineering applications and medical applications. It strongly coupled with data science and analytics to handle large amount of data connected with sensors and devices. It also handles virtual environment with low cost but the challenges are complex. This paper analysis the technical issues faced when implementing digital twin model practices in engineering and medical applications.