Digital Mock-up analysis using Artificial Intelligence of Things

Digital Mock-Up units (DMU) are a design or human factor for study and inspection of Computer Aided Designs to help designers identify key design issues and factors which can lead to the functional failure of a product in the early stages of development. Digital Mock-Ups can be used by Computer Aided Design (CAD) & Non- Computer Aided design users to review a product before sending a design to the final stage i.e. Production. Currently, Digital Mock-Ups is used in a wide variety of industries ranging from automobiles to healthcare to aerospace. Additionally, DMU also has some drawbacks such as being time consuming, leading to human errors & repetitive work etc. This paper explores what is the current review process of Digital Mock-Ups in the industry to derive technological & functional information and how latest technologies like Artificial Intelligence (AI) and internet of things (IOT) can be adopted to review Digital Mock-Ups even more effectively using technologies like computer vision and image recognition to reduce human error in the review process.