Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.
JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐
👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
VideoView that plays video only when 👀 are open and 👦 is detected with various other features
Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
📷 Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.
A simple 👀 tracking and 👦 detection android app
[TPAMI] Automatic Gaze Analysis ‘in-the-wild’: A Survey
Training scripts and data for a webcam-based, eye-tracking mouse
Auto Attendance System Using Real Time Face Recognition With Various Computer Vision & Machine Learning Tools
Face Recognition SDK Javascript using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.
Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".
Face recognition SDK iOS with 3D passive liveness detection (Face Detection, Face Landmarks, Face Recognition, Face Liveness, Face Pose, Face Expression, Face attributes)
An experiment on gaze tracker system, based on OpenCV, which shows how to control mouse pointer using eyes and gaze estimation
A Realtime CPU eye detector to detect if the eyes are open or closed
The Gaze Correction Camera project is an advanced real-time gaze correction system designed to enhance video communication by improving eye contact. Leveraging state-of-the-art computer vision and deep learning techniques, this system dynamically adjusts the user's eye gaze direction during live video calls.
Giriş Seviyesinden İleri Seviyeye Kadar Python ile Görüntü İşleme.. Nesne Tespiti, Nesne Takibi, Yüz Tespiti, Göz Algılama ve Göz Hareketleri Takibi, Beden Tespiti, El Hareketlerini Anlamlandırma, Şerit Takibi, Plaka Okuma vs. gibi resim, video ve gerçek zamanlı örnek uygulamalar
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