Face Detection Project in OpenCV or Image Preprocessing

Prompt Based video navigation project, Here user can provide a video link and a prompt specific to what they want to find in video & can efficiently navigate the video.

Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates

Text to Image Generator and Multilingual Text to Image Generator using Stable Diffusion

Food calorie estimations Using Deep Learning And Computer Vision

This project is a real-time drowsiness detection system that uses computer vision to monitor a driver's eyes and sound an alarm if drowsiness is detected. It captures live video through a webcam, detects facial landmarks, and calculates the eye aspect ratio to determine if the driver's eyes are closed for an extended period, indicating drowsiness.

RAILWAY TRACK OBSTACLE DETECTION AND AUTOMATION (RAILTECH AUTOMATION)

Deep learning model that predicts the phase of the moon 🌒🌓🌔🌕🌖🌗🌘

This project presents a sign language interpretation system that leverages artificial intelligence to recognize and generate sign language gestures from video input, translating them into text in real-time.

Computer Vision Barcode Detection program: This project is focussed on developing a computer application to detect and decode barcodes from images. Implemented in Python with the use of libraries such as NumPy, illuminati, pyzbar, cv2 and PIL.

This project generates a personalized ID card using Python. The ID card includes details such as the user's name, designation, company name, ID number, and a QR code. The QR code contains the ID card details for quick reference.

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The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

A computer vision domain real-time life expectancy, age, and gender estimation from video using OpenCV and deep learning. Predicts life expectancy dynamically based on demographics. Ideal for demographic studies and health applications.

Real-time face mesh detection project using OpenCV and MediaPipe in Python, providing detailed 3D facial landmark tracking and visualization capabilities.

Open Cv(Cv2) was used to preprocess pictures for emotion detection, which was then combined with Resnet 50 and CNN models for emotion prediction.

OpenCV (cv2) can be used for face recognition by detecting faces, extracting facial features, and comparing them to a database of known faces.

OpenCV kütüphanesi kullanılarak gerçek zamanlı yüz tespiti ve sayma yetenekleri sunar. Uygulama, farklı kademelerde performansa sahip yüz tespit sınıflayıcılarını değerlendirir ve en iyi performansı gösterenini seçerek kullanır.

It is a python file that contains the code for Face Detection. It uses the means of 'cv2' to do so.

All images processing code