What are the main features of CrowdSynthetic?

The main features include: layout-driven geometry configuration, capacity-based zone risk assessment, trend-based prediction, AI recommendations, heatmap overlay visualization, custom avatar drawing, evacuation mode logic, and CSV/JSON logging of metrics.

What are the system requirements to run CrowdSynthetic?

CrowdSynthetic requires Python 3.9 or higher and OpenCV installed correctly. Users need to install the dependencies listed in requirements.txt before running the simulation.

How do you control the simulation?

The simulation can be controlled using 'Q' to quit. The simulation mode (NORMAL/EVACUATION) is triggered automatically based on crowd risk. After EVAC → NORMAL transition, the final frame is held until any key is pressed.

When was CrowdSynthetic launched?

According to the sources, CrowdSynthetic was launched in 2025.

What type of license does CrowdSynthetic use?

CrowdSynthetic is released under the MIT license.

CrowdSynthetic

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CrowdSynthetic is an open-source AI crowd safety simulator that predicts congestion, visualizes crowd movement with heatmaps, and triggers automated evacuation logic to prevent disasters at large gatherings.

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Product Information

Updated:Dec 29, 2025

What is CrowdSynthetic

CrowdSynthetic is a proof-of-concept simulation tool designed to monitor and manage crowd safety in concert venues, festivals, temples, stadiums and other large gathering spaces. Built with Python and leveraging AI technology, it provides real-time analysis of crowd density, movement patterns, and risk levels. The system uses a configurable layout-driven approach where venues can be mapped with specific zones, stages, and exits to create accurate simulations of crowd dynamics.

Key Features of CrowdSynthetic

CrowdSynthetic is an open-source AI crowd safety simulator that helps event organizers predict and prevent dangerous crowd congestion before it occurs. It features real-time crowd density monitoring, risk assessment through capacity-based zone analysis, predictive trend analysis, and automated evacuation logic. The system uses a configurable layout system with customizable zones, stages, and exits while providing visual feedback through heatmap overlays and avatar visualization.

Real-time Risk Monitoring: Continuously analyzes crowd density and provides capacity-based zone risks with trend-based predictions showing potential issues minutes in advance

Configurable Layout System: Allows customization of venue layouts through JSON configuration, including zones, stages, exits and capacity thresholds

Visual Analytics: Provides real-time heatmap overlays and custom avatar visualization to help operators understand crowd movement patterns

Automated Evacuation Logic: Implements automatic transition between normal and evacuation modes based on risk thresholds with completion validation

Use Cases of CrowdSynthetic

Concert Venues: Help concert organizers monitor crowd density near stages and predict potential crush risks in real-time

Religious Gatherings: Assist temple and pilgrimage site managers in managing large crowds during festivals and special events

Sports Stadiums: Enable stadium operators to monitor entrance/exit flows and identify potential bottlenecks during major events

Public Festivals: Support festival organizers in managing crowd movement across multiple zones and stages

Pros

Open-source and locally deployable with no cloud dependency

Provides predictive analytics rather than just reactive monitoring

Includes comprehensive logging and metrics for post-event analysis

Cons

Currently only a proof-of-concept implementation

Requires Python environment setup and technical knowledge to deploy

How to Use CrowdSynthetic

Install Python: Ensure you have Python 3.9 or higher installed on your system

Clone/Download Repository: Get the CrowdSynthetic code from GitHub repository at github.com/mksimple-blip/crowdsynthetic

Install Dependencies: Run 'pip install -r requirements.txt' to install required Python packages

Configure Layout: Review and modify layout.json file if needed to set up your venue zones, stage location, and exits

Run Simulation: Execute 'python -m src.main' to start the crowd simulation

Monitor Simulation: Watch real-time visualization with crowd avatars, heatmap overlays, and risk metrics

Control Simulation: Use 'Q' key to quit simulation. Simulation modes (NORMAL/EVACUATION) trigger automatically based on crowd risk

Review Results: Check generated concert_risk_log.csv and concert_risk_log.json files for detailed metrics and analysis

Handle Evacuation Mode: When evacuation triggers, observe automated evacuation logic. Final frame holds after EVAC → NORMAL transition until key press

CrowdSynthetic FAQs

CrowdSynthetic is an open-source AI crowd safety simulator that predicts congestion and monitors crowd density in venues like concerts, festivals, temples and stadiums. It helps organizers understand crowd behavior and prevent disasters through simulation and analytics.

CrowdSynthetic