182 results for “topic:cvzone”
Using OpenCV and CVzone
snake game with open cv (use webcam & a hand to play:)
In this project we will be using OpenCV to virtually drag a rectangle and drop it at a different location. It will be further used for Virtual Mouse.
This repository contains Python code to count the number of cars, trucks, buses, and motorbikes in a video using YOLOv8 object detection. It also tracks the detected vehicles and displays the count in real-time.
This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.
This project offers a versatile platform for hand-related tasks, including dataset generation and custom hand gesture detection using Google's MediaPipe library and accelerated real-time sign language translation with LLMs on edge devices.
This repository contains modules that offer hands-on learning on opening webcams using Python and performing hand detection tasks. Explore the exciting world of real-time interaction through hand gestures, exemplified by the captivating GestureGlide Rock-Paper-Scissors game. 📸👋🎮
Facial Landmark Detection using OpenCV and Mediapipe
Computer Vision python program to play games using hand gestures
A real-time American Sign Language (ASL) recognition system
AI Virtual painter with hand gester project is a AI based project in which you can detect hand and fingers and with the help of your index fingure you can draw on the screen and with the idex fingure and middle fingure you can select the different colors and the eraser to erase the drawing. this project is writen in python language with the help of cvzone, mediapipe, etc libraries.
This project demonstrates a real-time hand gesture recognition system using Python, OpenCV, and Gemini AI by Google.
Dino game with hand movements
A real-time bidirectional people counting and foot-traffic analytics system powered by YOLOv11 and OpenCV. Features multi-object tracking (MOT), dual-polygon region-of-interest (ROI) logic for entry/exit detection, and automated video reporting. Perfect for retail analytics and smart occupancy monitoring.
This project showcases a Python application that allows you to zoom in and out of any picture using hand gestures. It utilizes the OpenCV library along with the cvzone module to detect and track hand gestures, enabling you to control the zoom level of an image effortlessly.
Real-Time Face Anti-Spoofing System: A YOLO-based real-time face anti-spoofing and image quality assessment solution with a Streamlit interface. Ideal for biometric authentication and surveillance applications.
The system captures live video, detects faces, and marks attendance automatically in the database.
Virtual Zoom using OpenCV
AI Rock Paper Scissor with hand gesture is an AI based python project in which you can detect hand and fingers and with the help of your fingers co-ordinates you can figure out if it is an rock, paper or scissor sign with the help of this you can play this game with the AI where the AI plays with the player and the scores are given as per who wins the game. you an start the game by pressing ' s ' on the keyboard per time you play.
It is the Servo motor control project of our Computer Vision work with Opencv. In this project, an Ardunio Serial port-based servo motor control project was implemented using Opencv and Cvzone artificial intelligence libraries. Below I tried to explain the details of the project step by step.
The program counts the number of blinks in a video or webcam.
With the virtual keyboard, you can write on the real time images by combining the thumb and index fingers on the letter you want. Try to make the documentation of each step involved and contribute in the documentation folder
Vehicles Detection, Tracking and Counting using YOLOv8 and DeepSort
wireless motion driving
AI virtual keyboard
No description provided.
🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀
🖐 Recognize American Sign Language gestures in real-time using MediaPipe Hand Tracking and TensorFlow for effective communication enhancement.
OpenCV for car park detection.
Tamil Isolated Sign Language Recognition