Passenger’s Demographic Analytical System in an Artificial Intelligence of Things (AIoT) Edge Device for Public Busses

Busses has become crucial resources in metropolitan area where public transport were widely utilized efficiently. Such resources can be overused or underused at a certain period of time, making management of the resources are not optimized on a certain period of time. Artificial Intelligence (AI) can be embedded as one of the optimization approaches on a bus passengers analytic. This proposed project utilizes the AI to detect and analyze the demographic of the bus users in real-time environment. In this project, we utilized an AI edge device to capture facial characteristics of the passengers for demographic analysis, where the results of the analytic are presented in a dashboard based on time the passengers board the busses. The result of the proposed system are able to provide information for optimizing the bus resources and increase the efficiency and reliability of the public busses management.