AI-Powered Smart Traffic Management
Real-time traffic optimization using computer vision and machine learning
Live Detection
YOLO-based real-time vehicle detection and tracking
Smart Signals
Adaptive timing based on traffic flow analysis
Live Traffic Dashboard
Camera Feed
Live Video Feed
Lane Vehicle Counts
24
Lane 1
18
Lane 2
32
Lane 3
15
Lane 4
Signal Status
STOP
North
GO
East
STOP
South
STOP
West
Signal Timer
00:45
Next signal change in
Analytics
Vehicle Count Trends
Average Waiting Time
AI Decision Logs
09:15 AM
Increased green time for Lane 2 by 15s
09:12 AM
Emergency vehicle detected - preemptive green
09:08 AM
Traffic prediction: congestion in 8 minutes
Peak Hour Analysis
AI Detection Demo
Video Input
Drop video here or click to upload
Detection Results
Car
24
Cars
3
Buses
7
Bikes
Detection Controls
More camera feeds
Map View
Congestion Levels
Low Traffic
Moderate
Heavy
Camera Locations
Main St & 1st Ave
Central Square
Highway Exit 5
Signal Status
Main St N
Green
1st Ave E
Red
Central Sq
Yellow
Real-time Data
Total Vehicles: 1,247
Avg Speed: 32 km/h
Congestion Index: 42%
Admin
Manage traffic systems and AI parameters
System Overview
Signal Override
Main Street & 1st Ave
North-South: Green (32s)
Central Square
East-West: Red (45s)
Highway Exit 3
All: Emergency Mode
AI Model Settings
85%
System Status
Active Cameras
15/15
AI Models
Online
Last Update
2 min ago
Quick Actions
