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real time face swap and one-click video deepfake with only a single image
PLPR utilizes YOLOv5 and custom models for high-accuracy Persian license plate recognition, featuring real-time processing and an intuitive interface in an open-source framework.
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
lock mechanism with face recognition and liveness detection
Recognize license plates (and numbers) using fine-tuned yolov8, OCR (tesseract) and Hikvision camera
The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected …
Face Recognition Web application Login with liveness detection for Anti-Spoofing
Vehicle speed estimation using the optical flow algorithm from a mono camera(CCTV)
Liveness detection SDK Linux - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats
This repository is a docker project for 3D passive face liveness detection (face anti-spoofing).
Vehicle detection, number plate recognition and speed calculation on Raspberrypi
Transform real-time body movements into keyboard inputs
This project is demonstrating simple vehicle speed measurement estimation on toll road or highway
AI Agent for voice-driven math visualization
Computer Vision for Skew Correction, Text Inversion, Rotation Classification, Homography & Object Search with Applied Math
Open Dataset for Math Learning by ALIN.ai and Zhejiang Lab
Project of robot vacuum with arduino and raspberry pi
This repository encompasses a computer vision algorithm designed for real-time detection of head movements. Furthermore, it incorporates a interactive game in which the system presents random actio…
detection and tracking using YoLo v4, speed estimation using homography, average speed using optical flow