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Chopper Charlie is a near real-time image analysis platform for images taken by a drone camera. The user will be able to modify the platform according to their needs for this platform. The main uses for this platform will be the recognition and counting of cars, as well as in agricultural terms,for example, the recognition and counting of trees in a fruit orchard.
Python 12.79%
HTML 0.55%
JavaScript 51.25%
CSS 11.72%
Kotlin 16.65%
Java 7.04%
chopper-charlie's Issues
Implementation of the pipeline with recognition and counting.
Email project owner to schedule initial meeting.
Create admin functionality and front end.
Admin should be able to view all users and user containers.
Send SRS doc to Project owner and Industry mentors for reviewing
Update use cases
Update Quality requirements
Update and Fix user stories
Fix Class Diagram.
Correct class diagrams and user stories
Connect drone and capture footage and upload to blob.
Create database for users etc.
Register page for user profiles
Coding quality badges to be created and added to the guthub.
Create Android App to Live stream footage from drone.
Create Android Mobile app to Capture footage from drone.
Complete first draft of Use-case diagram, attach it to first draft of SRS doc and upload to PO's teams group.
Create logos for client to approve
Create User Interface and Mockups to be reviewed by Vorster
Identify Architectural Needs
Architectural Diagram
Technology Choices
Constraints
Build image AI from scratch.
The SRS documentation to be completed for Demo 1.