Industries → Smart Cities & Critical Infrastructure
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Visual Intelligence for
Smart Cities & Critical Infrastructure

Consistent AI analytics performance across thousands of cameras in variable weather, nighttime conditions, and the sheer scale of citywide networks.

The Problem

Cities Don't Have Weather Days.
Neither Should Your Cameras.

Smart city camera networks span thousands of intersections, transit stations, parks, and critical infrastructure sites. The scale is enormous and the conditions are completely uncontrolled. Rain, nighttime, glare, fog — every condition hits different cameras at different times. A system that works at noon fails at midnight.

🌑
Nighttime — most incidents occur after dark
🌧
Weather variability — rain, fog, snow
Glare — building reflections, wet surfaces
📷
Scale — thousands of cameras, variable conditions
🌫
Urban haze and pollution
See the Difference

Headlight Glare: Before and After Restoration

10s · Evening traffic in headlight glare · Side-by-side
The Solution

Three Layers of Visual Intelligence
for Smart Cities & Critical Infrastructure

Step 1 · See

Restore Visibility Across the Network

ProHawk AI restores camera feeds across every intersection, transit station, park, and infrastructure site — normalizing conditions so every camera performs at its best regardless of weather or time of day.

Step 2 · Think

Detect and Understand at City Scale

Vaidio deploys analytics across thousands of cameras: traffic monitoring, crowd density, suspicious behavior, flooding detection, public safety alerts. Vision Language Models let operators create custom detectors by typing descriptions — no engineering team required.

Step 3 · Act

Run on City-Scale Infrastructure

NVIDIA GPU compute carries the workload, delivered on HPE and Dell server platforms. Scale from edge processing at individual sites to centralized datacenter deployment for citywide networks — matched to the compute demands of thousands of simultaneous streams.

Use Cases

What It Solves Across the City

🚦

Traffic Management

Accurate vehicle and pedestrian counting, signal optimization, and congestion detection across the entire network — in rain, darkness, and glare.

👫

Crowd Monitoring

Real-time crowd density analysis at events, transit stations, and public spaces. Detect formations, dispersals, and abnormal patterns before they become incidents.

🌊

Flood and Disaster Detection

Custom VLM detectors for rising water levels, structural damage, downed power lines, and road obstructions — created by typing descriptions, no coding required.

🛡

Public Safety

Loitering detection, abandoned object alerts, and suspicious behavior monitoring across parks, transit, and public buildings with near-zero false alarm rates.

🚇

Transit Station Monitoring

Platform safety, fare evasion detection, crowd flow optimization, and incident detection across bus and rail networks in all lighting conditions.

🔍

City-Scale Forensic Search

Search footage across every camera in the network by description. "Red sedan heading east on Main Street between 2–4 AM." Results in under three seconds.

The Think Layer

What Vaidio Sees Across the City

19s · Pedestrian heatmap, scene change detection, multi-class street detection

See It Work in
Your City

Send us 30 seconds from your most challenging intersection or transit camera — rainy crosswalk, nighttime parking deck, foggy underpass. We'll restore it and show you the difference.

The Solution

Three Layers of Visual Intelligence
for Smart Cities & Critical Infrastructure

Step 1 · See

Restore Visibility Across the Network

ProHawk AI restores camera feeds across every intersection, transit station, park, and infrastructure site — normalizing conditions so every camera performs at its best regardless of weather or time of day.

Step 2 · Think

Detect and Understand at City Scale

Vaidio deploys analytics across thousands of cameras: traffic monitoring, crowd density, suspicious behavior, flooding detection, public safety alerts. Vision Language Models let operators create custom detectors by typing descriptions — no engineering team required.

Step 3 · Act

Run on City-Scale Infrastructure

NVIDIA GPU compute carries the workload, delivered on HPE and Dell server platforms. Scale from edge processing at individual sites to centralized datacenter deployment for citywide networks — matched to the compute demands of thousands of simultaneous streams.

Use Cases

What It Solves Across the City

🚦

Traffic Management

Accurate vehicle and pedestrian counting, signal optimization, and congestion detection across the entire network — in rain, darkness, and glare.

👫

Crowd Monitoring

Real-time crowd density analysis at events, transit stations, and public spaces. Detect formations, dispersals, and abnormal patterns before they become incidents.

🌊

Flood and Disaster Detection

Custom VLM detectors for rising water levels, structural damage, downed power lines, and road obstructions — created by typing descriptions, no coding required.

🛡

Public Safety

Loitering detection, abandoned object alerts, and suspicious behavior monitoring across parks, transit, and public buildings with near-zero false alarm rates.

🚇

Transit Station Monitoring

Platform safety, fare evasion detection, crowd flow optimization, and incident detection across bus and rail networks in all lighting conditions.

🔍

City-Scale Forensic Search

Search footage across every camera in the network by description. "Red sedan heading east on Main Street between 2–4 AM." Results in under three seconds.

The Think Layer

What Vaidio Sees Across the City

19s · Pedestrian heatmap, scene change detection, multi-class street detection

See It Work in
Your City

Send us 30 seconds from your most challenging intersection or transit camera — rainy crosswalk, nighttime parking deck, foggy underpass. We'll restore it and show you the difference.