Realtime Crowd Tracking

How CrowdSense Works

📸 Live Data Collection

We gather real-time crowd data from a variety of sources:

🔍 Video Feeds: Surveillance cameras providing crowd insights.
📱 User Inputs: Your own crowd reports, helping us improve the data.
🧠 Existing CCTVs: Detecting the crowd in specific public spaces where CCTVs are already set up.

🤖 Machine Learning Predictions

Using AI-powered predictions take the guesswork out of your plans. We use historical data combined with regression algorithms to predict crowd levels:

⏳ Short-Term Forecasting: What’s the crowd going to be like in the next hour?
📅 Previous historical data: Predicting crowd patterns based on previous crowd trends and analysis.

💻 User-Friendly Interface

Our goal is to make your experience seamless and enjoyable! With our interactive dashboard and intuitive maps:

🗺️ Interactive Maps: Visualize crowd density with color-coded markers.
📊 Dynamic Charts: Get real-time crowd data at a glance.
🔍 Smart Search: Find the best times to visit your favorite spots instantly.

Trained ML Model

Explore the capabilities of our trained machine learning model, which predicts crowd trends and density using random forest regressor in real-time.

Learn More

Research Paper

Check out the research paper that details our approach and findings. Access the full paper via the DOI link below.

Read Paper

More of our projects here

Explore the diversified project we made and if you like them and want to collaborate visit here .

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Crowd Tracking Dashboard

Welcome to CrowdSense: Real-Time Crowd Tracking and Monitoring

Peak Crowd

Average Crowd

Forecasted Crowd

Crowd Statistics

Most Preferred Shop

Avoid These Shops

Crowd Count Prediction

Prediction result will appear here.

Pinned Shops