Face recognition, 3d liveness detection, deepfake detection, stream injection (virtual camera) detection and much more

OpenCV 3 , Visual C++ 2015 , win 64x , computer vision, image processing, webcam,video,motion,frame,edge,vector image processing with opencv 3 & c++ Find Faces , Modify Videos and Photos Automatically , Identify, Count & Measure , Realtime Augmented Reality Technology, An introduction to Image Processing, Tutorial Real-Time Object Tracking Using OpenCV, Face Features Detection System, Fast Object Tracking in C++ using OpenCV, How to install OpenCV and Create Sample Project in Visual Studio, Camera calibration With OpenCV, Chessboard or asymmetrical circle pattern, Installing OpenCV 3.2.0 with Visual Studio 2015 and configuring OpenCV project, OpenCv Stereo Vision, Machine Learning,Getting Started with Neural Network,Pattern Recognition and Application,Computer Vision Real-time Pattern Recognition using C++,Deep Neural Networks for Speech and Image Processing,Introduction to Segmentation,Deep Learning,Computer Vision & Machine Learning, Pattern Recognition, Camera Calibration, Optical Flow, Humanoid Robot, Image Processing, iOS developer, Augmented Reality, C++, Java, Matlab, keywords: digital image processing, OpenCV C++ Computer program tutorial, augmented virtual reality (augmented reality), deep machine learning, computer vision with C++ Programming Language, JSON, machine vision, opencv stereo camera calibration, optical flow, video analysis, Image Processing (IP) [OpenCV], Intelligent Systems, Deep Learning, Artificial Intelligence (AI) www.tiziran.com پردازش تصویر , روبوتیک , برنامه نویسی موبایل

An advanced AI-powered virtual assistant capable of long-term memory and real-time interaction using various tools and technologies. This project provides unique features like GitHub repository management, face recognition, camera-based object detection, screen interaction, and Google Lens-like search.

This project utilizes OpenCV for real-time face detection and streams the processed video through a virtual camera. The virtual camera output can be used by any application that supports video input, such as video conferencing or streaming software.

Virtual WebCam using Face Detection to switch cameras

Real-time face detection and person segmentation using MediaPipe and Python. Overlays the iconic 'The Laughing Man' logo and supports virtual cameras with dynamic backgrounds for Google Meet and Zoom.

Auto Face Framing is a Python application designed to provide a virtual camera output that detects and tracks the user's face in real-time. The application utilizes OpenCV for face detection and tracking, ensuring that the user's face remains centered in the frame while providing a smooth video output.

Tachi Vision (1) is a computer vision system that applies real-time visual effects to webcam feeds. It features face detection and pixelation, motion tracking, hand detection, particle effects, and a smooth HUD overlay. The system can be used as a standalone application for data collection or as a virtual camera for video calls / streams.

A real-time Flutter face detection and virtual try-on system using ML Kit, featuring live camera preview, face landmarks, dynamic glasses overlay, capture, and gallery save support on Android.”

Real-time face detection and augmented reality masking with virtual camera output. Track up to 5 faces with persistent identity, assign masks per face, and has the native ability to pipe to OBS or any streaming software.

Virtual photo booth made with Python. It uses the opencv library to access the user's camera. Through simple face detection, it places props on faces in view of the camera. It also changes the background and adds a foreground.

Developed real-time video processing with OpenCV, including histogram equalization, filters, and RGB analysis. Implemented face keypoint detection, replaced faces using pre-trained models, and output frames via pyvirtualcam for virtual camera use.

A real-time face and emotion detection script using Python, OpenCV, and DeepFace. It supports default webcams and virtual cameras like Iriun. Open-source and open for contributions!

Real-Time Face Detection & Video Streaming Tool: A Python-based application utilizing OpenCV and DeepFace for real-time face recognition, detection, and tracking. Features include a dynamic GUI, dual video output for browser streaming and virtual webcam integration, and support for multiple camera sources.

🎨 Virtual Paint Application – draw on a digital canvas using color detection. > - 🔢 Blue‑lid Camera Calculator – perform arithmetic operations with touchless, vision‑based input. > - 👤 Advanced Face Recognition – detect and save faces in real time using Haar Cascades.

Quick, lightweight demo that overlays virtual garments on a live camera feed using OpenCV. Designed for prototyping an augmented-reality dressing-room: try-on virtual shirts, dresses or accessories in real time using simple body/face landmark detection and image warping