Real-Time Human Pixelation in C++ with OpenCV and Neural Network Segmentation

This C++ project automatically pixelates humans in camera images. Leveraging OpenCV and a neural network segmentation model, this program detects and obscures people in real-time video streams. Compiled to WebAssembly using Emscripten, it seamlessly integrates into web applications for cross-platform compatibility.

Key Features:

• Automatic Human Segmentation: Utilizes a neural network to accurately segment humans in camera images. The solution has limitations in terms of the distance.
• Real-Time Pixelation: Instantly pixelates detected humans to protect identities during live video feeds. The pixelation strength can be set in the code.
• Web Integration: Compiled with Emscripten for easy deployment in web environments without sacrificing performance.
• Full Source Code Access: Purchase includes the complete C++ source code for full transparency and customization.

Ideal For:

• Developers seeking to enhance privacy in video processing applications.
• Educational purposes for learning about real-time image processing and neural networks.
• Projects that require human detection and anonymization on the web.

What's Included:

• Complete C++ source code files.
• Instructions for compiling with Emscripten.
• Pre-trained neural network model for human segmentation.
• Precompiled OpenCV WebAssembly Module

Technical Requirements:

• Knowledge of C++ programming and basic understanding of neural networks.
• Emscripten SDK for compiling to WebAssembly.

Enhance Privacy Today

Protect personal identities in your applications with this powerful, real-time human pixelation tool. Perfect for developers and educators alike, this project offers a practical solution to privacy concerns in the digital age.

License

By purchasing or downloading any project, you agree to the full license terms, which you can view here: LINK