WINK Analytics: Advanced Video Intelligence Platform

Built on over a decade of computer vision expertise, WINK Analytics combines battle-tested legacy CNN systems with cutting-edge AI models. Our hybrid approach delivers enterprise-grade motion detection, license plate recognition, object counting, and crowd monitoring — leveraging both deterministic boolean evaluators and modern neural architectures.

Seamlessly integrates with WINK Media Router as an add-on component, processing video streams in real-time. No additional infrastructure required - Analytics runs alongside your Router deployment.

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WINK Analytics Video Intelligence Platform

A Decade of Vision Innovation

Since 2012, our team has been pioneering computer vision for video analytics. We understand the mathematical foundations that power today's AI revolution because we've been part of building it — from early HOG+SVM classifiers to transformer architectures.

Hybrid AI Architecture

WINK Analytics uniquely combines multiple AI technologies:

Legacy Smart CNN Evaluators: Our proprietary boolean CNN systems, refined over 10+ years, provide deterministic decisions for safety-critical applications.
Modern Deep Learning: YOLO v8/v9/v11, custom R-CNN networks, and transformer models for state-of-the-art accuracy.
Motion Algorithms: Advanced MOG2 and KNN background subtraction for precise motion detection.
Ensemble Intelligence: Multiple models work together, each contributing their strengths for unmatched reliability.

Why Experience Matters

Our deep understanding of computer vision fundamentals means:

We know when to use deterministic algorithms vs. probabilistic models
Our systems handle edge cases that pure AI solutions miss
We optimize for both accuracy and computational efficiency
The hybrid approach reduces false positives compared with either method alone

Result: Analytics you can trust for mission-critical applications, backed by proven technology and continuous innovation.

Advanced Analytics Capabilities

Motion & Object Analysis

AI-powered motion detection combining:

MOG2/KNN algorithmic detection
Deep learning object classification
Re-identification across cameras
Predictive trajectory analysis
Zero-shot anomaly detection

License Plate Recognition

Plate recognition measured at 98.6% plate accuracy at system level, with multi-crop voting returning 92.0% exact match over a thousand vehicles on ordinary pole mounted cameras (how that was measured):

Custom CNN + YOLO ensemble
Works in all weather conditions
Regional plate model libraries covering the Americas, Europe, and Asia
OCR inference around 9ms per crop, with voting across 15 to 20 crops per vehicle
Full audit trail with source frames retained per detection

Crowd & Counting Analytics

Large Vision Model powered analysis:

Transformer-based crowd understanding
Behavior prediction algorithms
Social distancing compliance
Temporal pattern recognition
Multi-modal sensor fusion

Seamless Platform Integration

Supported Camera & VMS Systems

Genetec Security Center
ONVIF-Compatible Cameras
Direct RTSP Stream Processing

Integration Methods

REST API for Analytics Access
Webhook Event Notifications
VMS Plugin Architecture
Native SDK Integration
Data Export to Third-Party Systems
Real-time Alert Triggers

Implementation Scenarios

Retail Analytics

Enhance retail operations with:

Customer counting and flow analysis
Queue management optimization
Display and aisle engagement tracking
Loss prevention through behavior analysis
Store layout effectiveness assessment

Parking Management

Optimize parking operations with:

LPR for authorized vehicle access
Available space counting and location
Parking violation detection
Automated ticketing integration
Vehicle dwell time analytics

Public Safety

Enhance security operations with:

Crowd density monitoring at events
Intrusion detection in restricted areas
Abandoned object identification
Person of interest alerting
Cross-camera tracking capabilities

Industrial Safety

Improve workplace safety with:

PPE (hard hat, vest) compliance detection
Restricted zone monitoring
Worker proximity to machinery alerts
Fall and accident detection
Process compliance verification

Programmatic API Access

WINK Analytics provides comprehensive API access for seamless integration with existing systems and custom applications. Our RESTful APIs enable developers to incorporate advanced video analytics into any platform.

Motion & Event API

Access motion detection events, configure sensitivity, and retrieve motion metadata across camera feeds.

LPR Integration API

Connect license plate recognition with gate systems, databases, and access control platforms with bi-directional data flow.

Analytics Data API

Access raw analytics data for object counting, crowd densities, dwell times, and other metrics for integration with BI tools.

Alert & Notification API

Configure and manage real-time alerts based on analytics events with webhook, email, and SMS delivery options.

Technical Specifications

Performance

Works on existing 1080p and 4MP cameras rather than requiring dedicated ALPR hardware
Multi-GPU with TensorRT Optimization
60+ FPS Real-time Processing
Edge AI with Model Quantization
Adaptive Model Selection Engine

Deployment Options

On-Premises Hardware
Virtual Machine Deployment
Cloud-based SaaS Solution
Hybrid Architecture Support
High-Availability Configuration