Why teams choose Lid Vizion

City planners and transportation authorities leverage computer vision to manage complex urban environments, reduce congestion, and improve safety. This includes automating traffic monitoring, optimizing public transport routes, and enhancing security in public spaces, leading to more efficient and responsive urban systems.

Multi-camera, event-driven solutions are critical for high-throughput applications like License Plate Recognition (LPR), vehicle classification, and pedestrian flow analysis. AI-powered deployments at the edge enable real-time decision-making, even in environments with limited connectivity.

The ability to integrate AI insights with existing traffic management systems, public safety platforms, and smart city dashboards is transforming urban infrastructure, creating more intelligent and sustainable communities.

What you can deliver fast

License Plate Recognition (LPR)

Accurately read and extract license plates from moving vehicles in real-time, supporting enforcement, access control, and traffic monitoring.

Traffic analytics and flow optimization

Count vehicles, classify types (cars, trucks, bikes), measure speed, and analyze congestion patterns to optimize signal timing and route planning.

Anomaly detection in public spaces

Identify unusual behavior, unauthorized access, or abandoned objects in transit hubs, parks, and other public areas for rapid response.

Parking management and enforcement

Monitor parking space availability, detect illegal parking, and manage access to restricted zones, improving urban mobility.

Pedestrian and crowd analysis

Track pedestrian movement, density, and flow in high-traffic areas to optimize public space design and manage crowd safety.

Infrastructure monitoring

Inspect roads, bridges, and public transport infrastructure for damage, wear, or blockages, enabling proactive maintenance.

Works with tools your team already uses

Traffic management systems (TMS)

Integrate AI-generated traffic data and alerts directly into existing TMS platforms for adaptive signal control and congestion management.

Video Management Systems (VMS)

Connect with VMS solutions to ingest video streams from existing cameras and manage AI-driven alerts and recorded events.

IoT and smart city platforms

Publish AI insights (e.g., vehicle counts, alerts) to broader IoT and smart city dashboards for holistic urban monitoring and decision-making.

Edge computing hardware

Deploy AI models on edge devices (e.g., NVIDIA Jetson, industrial PCs) near cameras for real-time processing, reduced bandwidth, and enhanced privacy.

Example workflows across urban operations

Traffic Monitoring

Count vehicles by type and direction
Measure average speed and identify congestion
Optimize traffic light sequencing dynamically

Public Safety

Detect unusual crowds or loitering
Identify abandoned packages or suspicious activities
Monitor for unauthorized access to restricted areas

Parking & Access Control

Real-time parking space availability detection
LPR for automated garage entry/exit
Enforcement alerts for violations

Public Transit Optimization

Monitor bus lane violations
Analyze passenger flow at stations
Track fleet movement and adherence to schedules

Infrastructure Inspection

Identify road surface damage (potholes, cracks)
Monitor bridge structural integrity
Detect debris on railway tracks or in tunnels

Environmental Monitoring

Detect illegal dumping
Monitor air quality through visual cues (e.g., smoke from wildfires)

Get started with Lid Vizion

Speak with an AI expert and leave with an implementation plan on the first call.
Ask about solution design, live demo, pricing, and feasibility.