# Computer Vision Integration for .NET Applications

# Overview

Our SDK provides powerful built-in computer vision capabilities that enable developers to enhance their applications with intelligent video analysis features. These functionalities allow your software to automatically detect and track various elements in video streams including human faces, general objects, vehicles, and pedestrians in real-time.

# Key Computer Vision Modules

The SDK offers multiple specialized detection modules to address various use cases:

PedestrianDetector - Track and count people moving through video frames
ObjectDetector - Identify and classify common objects within video content
FaceDetector - Locate and analyze human faces, supporting security and UX applications
CarCounter - Monitor and quantify vehicle traffic in transportation scenarios

Each module is optimized for performance and accuracy, allowing for reliable real-time processing even on standard hardware configurations.

# Implementation Resources

Developers can access complete working examples in our GitHub repository. These samples demonstrate practical implementation patterns and best practices for integrating computer vision capabilities into .NET applications.

# Advanced Features

Face detection - Learn about facial recognition, landmark detection, and emotion analysis
Machine learning integration
Custom detection model support
Multi-threading optimization techniques

For additional code samples and implementation guidance, visit our GitHub repository.