In this project, we will use data from the Kaggle. When we faced crowd gathering problems, we must perfectly manage them, and through the application of deep learning in this field, we will take real-time pictures of the places capable of unorganized gathering and monitor them, and through the application of deep learning, the model will give an alert when a limit is reached To manage crowds and give crowd alerts, so they will be organized using our model.
we create a model for counting people in the Crowd.
Several data have been collected, including the Holy Mosque of Mecca and some areas of the Riyadh season,
like winter wonderland, Assalam park. The model has been applied to it.
| Label Name |
|---|
| Image |
| count |
- Number of rows = more than 2000 rows
- Number of columns = 2 columns
- Python
- Jupyter Notebook
- PowerPoint for presentation
- Numpy Pandas
- Scipy
- Tensorflow
- Matplot
- PIL
- Keras
- Sklearn
- time
- concurrent.futures
- tqdm
- pandas as pd
- numpy as np
- tensorflow as tf
- tensorflow_hub as hub
- matplotlib.pyplot as plt
- PIL
- Draw
- scipy
- scipy.io
- scipy.stats as stats
- scipy.ndimage
- itertools
- os