Cutting-edge AI vision platform powered by YOLO v8, v9, and v11, custom R-CNN models, and advanced MOG2/KNN motion algorithms. Real-time monitoring for highways, toll booths, and urban traffic with instant alerts for incidents, congestion, and safety hazards.
Designed as an intelligent add-on to WINK Media Router, processing live video streams with AI-powered analytics. Deploy alongside your Router for immediate traffic intelligence without additional infrastructure.
Our custom YOLO model detects and classifies everything that matters on your roads - from individual vehicles to complex traffic patterns, weather conditions to wildlife crossings.
Count and classify all 13 FHWA vehicle types, track speeds, detect stopped vehicles and wrong-way drivers
Identify accidents, debris, traffic jams, emergency vehicles, and unusual congestion patterns instantly
Detect pedestrians, cyclists, animals on roadways, and crowd formations near highways
Monitor weather impacts, visibility conditions, and construction zone activity affecting traffic flow
With over a decade of computer vision expertise, WINK AI Traffic represents the culmination of years of innovation in traffic analytics. Our team has been developing custom CNN architectures since 2012, giving us deep understanding of the core technologies that power today's AI revolution. We've evolved alongside the industry, from early HOG+SVM classifiers to today's transformer-based architectures.
Our platform uniquely combines battle-tested legacy systems with cutting-edge AI: custom CNN boolean evaluators proven over millions of hours alongside YOLO v8, v9, and v11, R-CNN networks, and sophisticated MOG2/KNN motion algorithms. This hybrid approach delivers both the reliability of mature technology and the capabilities of modern AI. We employ Large Vision Models (LVMs) for scene understanding while maintaining our proprietary rule-based systems for critical safety decisions.
Monitor entire state highway systems with centralized control, multi-agency data sharing, and comprehensive analytics. Perfect for DOTs managing thousands of cameras across vast geographic areas.
Optimize city traffic flow with real-time signal control, congestion prediction, and incident response. Ideal for smart cities looking to reduce commute times and improve safety.
Maximize throughput with queue analysis, vehicle classification for dynamic pricing, and automatic incident detection. Reduce wait times and increase revenue with intelligent monitoring.
Provide first responders with real-time situational awareness, evacuation route monitoring, and multi-agency coordination during critical events.
Since 2012, we've been at the forefront of computer vision for traffic analytics. Our ensemble approach combines battle-tested legacy systems with the latest AI breakthroughs, delivering unmatched accuracy through experience.
Latest generation object detection models optimized for real-time performance. Each version brings specific strengths - v8 for speed, v9 for accuracy, v11 for complex scenarios.
Region-based Convolutional Neural Networks fine-tuned on millions of traffic images for precise vehicle classification and detailed feature extraction.
Advanced motion detection using Mixture of Gaussians and K-Nearest Neighbors for identifying stopped vehicles, queue formation, and abnormal movements.
Our proprietary boolean CNN evaluators, refined over 10+ years, provide deterministic safety-critical decisions. These proven systems run alongside modern models for maximum reliability.
Next-generation transformer-based models that understand entire traffic scenes, providing contextual awareness beyond individual object detection.
Our unique approach combines deterministic rule engines with probabilistic AI models, leveraging our deep understanding of the mathematical foundations underlying YOLO and similar architectures.
Join transportation agencies worldwide using WINK AI Traffic for smarter, safer roads