Crowd Safety Intelligence Suite

Inspiration

Finding and managing crowded spaces is unpredictable and inefficient. We were inspired to build a system that automatically detects crowd density in real time without relying on manual monitoring or invasive surveillance.

What it does

Crowd Safety Intelligence Suite estimates real-time crowd density using anonymized ambient signals. It converts this data into intuitive heatmaps and crowd levels (low, moderate, high), helping users and operators quickly understand congestion and make better decisions.

How we built it

We combined YOLOv8 and signal data to detect and estimate crowd density. This data is processed and visualized through a web dashboard using heatmaps and live updates, creating a real-time monitoring system.

Challenges we ran into

Accurately estimating crowd density without reliable hardware input was difficult. We also had to ensure the system remained stable, responsive, and privacy-preserving while working with noisy or simulated data.

Accomplishments that we're proud of

We built a fully functional real-time system that visualizes crowd density and simulates IoT-style inputs. The platform is intuitive, responsive, and demonstrates a scalable approach to crowd monitoring without tracking individuals.

What we learned

We learned how to integrate multiple technologies into a cohesive system, handle real-time data flows, and design around privacy constraints while still delivering meaningful insights.

What's next for Crowd Safety Intelligence Suite

We plan to integrate real sensor inputs, improve accuracy with advanced models, and add automated alerts and predictive analytics to enhance safety and decision-making in larger environments.