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AI-powered traffic management system using computer vision and IoT sensors for smart cities
Create an intelligent traffic management platform that uses computer vision to analyze traffic flow, optimize traffic light timing, and reduce congestion. Integrates with IoT sensors, traffic cameras, and emergency vehicle systems. Provides predictive analytics for traffic patterns, real-time rerouting suggestions, and integration with navigation apps. Includes pedestrian and cyclist safety features.
Real-time vehicle detection
Traffic flow prediction
Adaptive traffic signals
Emergency vehicle preemption
Pedestrian detection
Congestion alerts
Route optimization
Environmental monitoring
Historical analytics
Public transit integration
Standard architecture
Computer Vision
Python & FastAPI
IoT Protocols
Real-time systems
Data streaming
Smart city concepts
Implement computer vision
Build real-time systems
Process IoT data streams
Design predictive models
Create interactive maps
Optimize traffic flow
System architecture design
YOLOv8 vehicle detection
Sensor data pipeline
Kafka setup
Traffic light algorithm
Traffic forecasting
Map-based dashboard
Preemption system
Route optimization
Simulation deployment