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Parks and Public Spaces

Parks and Public Spaces Digital Twin & Simulation

A digital twin of the public space (DataVerse™ + Mirra™ on NVIDIA Omniverse) to simulate crowd flow and events, plan camera/AI coverage, generate synthetic training data, and validate AI before deployment.

Customer challenges

1

Deploying and tuning AI across large outdoor public sites is costly and disruptive; it's hard to plan coverage or train for rare events and emergencies using real data alone.

Customer benefits

De-risked, faster rollout; optimized coverage; crowd and emergency scenarios tested virtually; models trained on synthetic edge cases.

Key features

Virtual replica of the site

A virtual replica of the park or public space.

Crowd-flow & event simulation

Simulates crowd flow and events on the site.

Emergency scenario simulation

Simulates emergency scenarios.

Camera & AI coverage planning

Plans camera placement and AI coverage before deployment.

Synthetic data generation

Generates synthetic training data from simulated scenes.

Sim-to-Real validation

Validates models in simulation before applying them to live feeds.

Before & after

Before Trial-and-error camera placement and AI tuning on the live site; rare events under-represented in training data. After — with Linker AI Nexa Coverage, crowd scenarios, and AI validated in simulation first, with synthetic data filling the gaps.