Face Detection | Recognition | Attendance

📷 Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

AI and machine leaning-based computer vision for a robot

Viola-Jones face detection from scratch in WebAssembly

Detecting Cars in real time and identifying the speed of cars and tracking

Facial Expression Recognition Using CNN and Haar-Cascade

Software Engineering course project, Smart Attendance System using Face Recognition and OpenCV

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

Fist, palm and hand detection & tracking for intelligent human-computer interaction game character movement control with OpenCV on Java (Processing sketchbook).

Face Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.

Face Detection & Recognition Based Attendence System

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

Real-time bird detection. A possible solution to avoid airplane nightmare.

College mini-project, Facial Recognition System using OpenCV on Raspberry Pi 4. Using simple Haar-Cascade and LBPH to detect and recognize. Picamera2 library for latest camera-stack

This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.

IOS application for object detection using Haar feature-based cascade classifiers in OpenCV

An A.I. C.A.P.T.C.H.A. Solver browser-extension for KissAnime written in JavaScript with help of python.

Emotions are reflected from speech, hand and gestures of the body and through facial expressions. Hence extracting and understanding of emotion has a high importance of the interaction between human and machine communication. Hence, this project basically focuses on predicting human emotions using facial recognition.

Detect speed of vehicles on multi-lane highways.