CrowdSynthetic
Predict crowd congestion before it happens
CrowdSynthetic launched on December 26, 2025 with 101 votes, #301 of 11,628 launches that month and more than 90% of that year's launches.
What it does
CrowdSynthetic is an open‑source AI crowd safety simulator that predicts congestion before it becomes dangerous. It visualizes movement, generates real‑time heatmaps, scores zone‑level risk, and triggers automated evacuation logic. Built for concerts, festivals, temples, and stadiums, it helps organizers understand crowd behavior and prevent disasters through simulation and analytics.
AI crowd safety simulation (POC). Contribute to mksimple-blip/crowdsynthetic development by creating an account on GitHub.
CrowdSynthetic is a proof-of-concept simulation for monitoring crowd density and risk in a concert-style layout. It uses a configurable layout (zones, stage, exits) and simulates people moving, building risk, and triggering evacuation logic. pip install -r requirements.txt python -m src.main Controls: Q — Quit simulation Simulation mode (NORMAL / EVACUATION) is triggered automatically based on crowd risk Final frame is held after EVAC → NORMAL transition until you press any key 🧠 Notes: If you get an error like cv2.error, make sure OpenCV is installed correctly. This is a visual simulation — it opens a real-time window with avatars, heatmap, and UI overlays. All metrics are logged to…from github.com
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