Today's smartphones are powerful, multi-featured computational devices. The co-existence of sensors and computational capability within a single, mobile platform has enabled the development of previously unavailable services for consumers. For example, many smartphones have the capability to take a photograph and 'tag' it with the geographic location at which it was taken. However, the location at which the photograph was taken may not be as interesting or useful as the location of objects captured in the photograph. By using the increasingly advanced suite of smartphone sensors to determine position and orientation of the camera, a mobile application, or app, could conceivably use triangulation and other photogrammetric methods to calculate the location of objects within images from multiple images.
The capability of smartphones to calculate the geolocation of objects within multiple images was identified by the sponsor as the project's focus, but before developing an application to execute this capability several questions must first be answered. It is the goal of this report to address the following questions:
Who would use this capability and how would they use it?
Can the accuracy requirements for these users be met with existing smartphones?
What is the system required to do and how should it be designed?
Could developing this capability be profitable and what development path should be pursued?
The objective of this project is to explore the design space and potential market for a Mobile Application for Geolocation of Imagery and Collaboration (MAGIC) system that can use the sensors and computational capabilities of smartphones available on the market today to determine the geographic location of objects within photographs. This project provides the first round of system engineering and analysis to determine the feasibility of pursuing MAGIC as a business opportunity.
The scope of this project is limited to the analysis, research, and design necessary to determine the feasibility of implementing this capability for a handheld application, and a preliminary assessment of the architecture necessary to enable sharing and collaboration. A summary of the results from the project are captured in this report and details are provided in the primary deliverables and supporting documents. The primary deliverables are the MAGIC CONOPS, Technical Feasibility Analysis, System Description Document and the Business Case Analysis. These documents and other supporting documentation answer the major questions presented in the problem statement. See Table 1 for a complete mapping of the problem statement to these deliverables. Due to limitation of time and personnel this effort does not include a complete engineering analysis of the services, interfaces and resources necessary to enable full sharing and collaboration of images and point of interest generated by MAGIC. It is recommended that an analysis of these capabilities be performed as a follow on effort.