Real-Time detection-recognition and counting of destroyed buildings after earthquake from UAV – Python and some extra background changes

Job ID: 35975743

Budget: €75 – €130 EUR

Real-time multiple detection-recognition and counting of destroyed or demolished buildings after an earthquake. I already have a finished python project with human and object detection and counting of them. Python project will be provided in order to make the necessary changes.

The total changes that I want to be made are the following points:

1) Create and add the following classes with designated icons. Each class will be detected and counted (see pdf)
a) Demolished Buildings (Red box, 75% transparent)
b) Heavily Damaged Buildings (Orange box, 75% transparent)
c) Medium Damaged Buildings (Yellow box, 75% transparent)
d) Light Damaged Buildings (Green box, 75% transparent)

2) The menu bar must go from right side to left side. (see image_1)

3) At the menu bar:
a. Expanding menu bar with the following categories.
i. Fire (classes: humans, smoke, fire, cars, ems and fire brigade vehicles)
ii. Water (classes: humans, boats, smoke, fire)
iii. Earthquake level 1 ( SEE POINT 1)
iv. Earthquake level 2 (humans, smoke, fire, cars, ems and fire brigade vehicles)
v. General (humans, cars)
b. Activate button before each super category and each sub class. So, when a class is not active will not be detected and counted. Each class must work and independently and with others. For example, activation of category Earthquake level 1 and only class fire from Fire category.
c. If its possible change all the icons with modern ones.

4) Up left corner, the disaster monitoring logo, I want to be changed with image that I will provide.

It will run with a downloaded video from the computer from a predefined path or live from a social media link (youtube or other) as before.

Earthquake drone footage videos, extra details and material will be provided.