Image Classification

Main Question:

The application should be using Python programming language, input data as images of crowd people. We shall have three inputs states and three output states (normal, high and danger) :

1) If there is no crowd or a few people, then the status shall be normal, and the output is a sound playing to walk and move normally “Please, Move On, ” and It may turn a green light ON and display a message (Please, Move on).

2) If there is a crowd of people then the status shall be high, and the output is a sound playing to move slowly “Please, Keep Calm and Move Slowly” and It may turn a yellow light ON and display a message (Please, Keep Calm and Move Slowly).

3) If there is a High crowd of people then the status shall be a danger, and the output is a sound playing to stop walking “Please, Stop Walking Immediately, Be Patient” and It may turn a Red light ON and display a message (Please, Stop Walking Immediately, Be Patient).

Requirements:

1) Research paper IEEE about this project as a word document. (There is no limit, but you can consider of minimum of 6 pages including references).

2) An explanation of function codes as a separate word document. (There is no limit, and it depends on project functions have used, but you can consider of minimum of 2 pages).

3) Attach all references that used (documents and websites links … etc.) as a zip file.

4) The input database should be 100 images for each state (normal, high and danger) or as a total not less than 300 images of the database.

The project codes have to run on my machine, and all requirements from 1 up to 4 need to be submitted including the project codes from the main question.

Please, this project must have free plagiarism that’s mean NO PLAGIARISM at all.

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