Application Specifications

Every proposal will most likely propose a different mobile imaging application. You will submit a proposal that will be approved or the instuctor will make suitable suggestions for improvement (simplication or possibly more capabilities will be required). Because the purpose of the application can widly varry I am only making some general requirements as listed below.

• Specify percisely which group (see above) you intend to assist and how --give an example scenario(s).
• You must as part of the program take pictures (one or more) using the phone's camera either automatically or with the assistance of the user.
• You need to have some kind of visual response (even if temporarily) showing the photo(s) taken.
• You need to have some kind of visual reponse showing results of your application ( examples not for you to necessarily replicate- web search listing response for product that has the bar code took picture of, could be a movie/slideshow showing pieced together images taken, could be some image processing results, could be some kind of upload feature, could be some kind of security pass, etc).
• (part of proposal and final project turn in ) You will need to define buisness model in terms of audience (demographics-age, income, location\,tc) and projected cost of application
• There must be a recognition layer that involves some kind of Deep Learning Network (i.e. CNN or LSTM, etc).
• (part of proposal and final project turn in) You will need to define use case diagram and description of your system. This needs to include prototypes of interface as would be seen and experienced by user along with hypothetical results.
  
  
  
  

  Research: 1) Ideas - come up with one or at most two ideas that you might like to implement (e.g. iris detector on a mobile device). 2) 5 papers - for the idea(s) you came up with in #1, find a minimum of 5 papers you are going to post to the Blackboard Discussion board for Project 3 Research Postings. 3) pick 5 papers posted by someone else and review them and give your opinion of what is going on.

  Proposal: before beginning this option/project you must submit and proposal which must include the following sections Concept Summary - a few paragraphs on purpose of Android Imaging Application Audience - demographics of intended audience. Application Cost and Projected success - tell me what you will charge for this application (99 cents or 4.99 or what?) and why it will be successful for your audience---why are they going to buy it. Interface Mockups - drawings (hand drawing is okay if readable) of interfaces seen by user as they use the application --- you should have more than one as the application must do something Use Case - Diagram and Description of use of application References - any (ideally online or electronic you can attach) references you used. Image Processing Routines - brief description of what kinds of image processing /algorithms you will do on the one or more images your application will take (possibly with assistance of user). Note that you can not simply display the image taken or say even one that has a single image processing routine done on it (unless you can convince me of some powerful business use for it that does not currently exist)---this is way too trivial of an application. You need to think about the business part and try to come up with an idea that you think will sell. YOU MUST specify what the Deep Learning Network will do in your recognition layer --what are the inputs and outputs.

  Implementation Make sure you choose a later (4.0 or on) Android SDK so that you can capter the latest new features. Note later versions of Android SDK and emulator do not let you capture your laptops camera picture for testing in emulation mode!!!!