Abstract: A baggage identification/baggage reconciliation method for public transport is provided. The method involves passenger identification and capturing parameters of piece(s) of baggage at check-in to form a virtual baggage identity, including capturing multiple images of the piece of baggage and generating a check-in 3D point cloud to the piece of baggage therefrom, which involves extracting corner point positions of the piece(s) of baggage. The virtual baggage identity is mapped to the passenger/transport details. The method includes identifying the passenger at the check-out and identifying the piece(s) of baggage at the check-out using the virtual baggage identity, said identification including capturing image(s) of the piece(s) of baggage at the check-out and generating a check-out 3D point cloud/point pattern from said captured image(s) and comparing check-in 3D point clouds with check-out 3D point cloud/point pattern and delivering the identified piece of baggage to the identified passenger.

Abstract: Techniques of integrating augmented reality and virtual reality models in analytics visualizations are disclosed. An embodiment comprises receiving a query for data from an analytics platform and then processing the query. The processing includes extracting information from the query and receiving query results. The embodiment also comprises generating, based on the query results, a 2D report and converting the 2D report into a 3D model. The converting includes plotting points from the 2D report in 3D space and exporting the 3D model using a 3D format. The embodiment further comprises loading the 3D model into one or more of: an augmented reality (AR) environment; and a virtual reality (VR) environment; and rendering, in a graphical user interface of a user device, a visualization of the 3D model.