Gesture Control Devices

I built this project to play Subway Surfers using nothing but hand gestures and computer vision. 🚄✋ Gesture-based interaction with computer vision is always a fun challenge. In this project, I combined OpenCV, MediaPipe, and PyAutoGUI to build a system where hand gestures are translated into real-time commands for applications and games. ⚙️ The implementation uses OpenCV and MediaPipe to detect and track face landmarks and hand movements. ⌨️ PyAutoGUI maps the recognized gestures into keyboard actions. 🌌 Selfie segmentation enables dynamic background replacement. 🕶️ Face mesh detection overlays virtual elements such as glasses, a hat, or a mustache in real time. 👉 The core idea is to transform simple hand signals into meaningful actions. The right hand can move right or up, while the left hand can move left or down. By combining gesture detection with visual overlays, the project creates an interactive experience that blends control and creativity. 🚀 This prototype shows how computer vision can support touchless interaction. The same methodology could be extended to education for interactive learning, to gaming for immersive controls, or to healthcare for hands-free operation. 🎥 The attached video demonstrates the system in action, highlighting the potential of gesture recognition in real-world applications. #ComputerVision #AI #MachineLearning #DeepLearning #GestureRecognition #OpenCV #MediaPipe #SubwaySurfers #Python

Hello everyone 🖐️❤️ 🚀 Gesture-Based Volume Control Using OpenCV & Python! 🎛️🖐️ Imagine adjusting your system volume with just a pinch of your fingers—no buttons, no keyboard, just pure hand gestures! 🤯 I built a real-time hand tracking system that dynamically controls system volume based on the distance between my index finger and thumb using OpenCV, Mediapipe, and Pycaw. 🔹 How It Works? ✅ Uses a webcam to detect hand landmarks in real-time 📷 ✅ Measures the distance between index finger & thumb ✋ ✅ Maps hand movements to system volume levels 🔊 ✅ Implements logarithmic scaling for smoother adjustments 🔄 🎯 Real-World Application: Gesture-Based Volume Control in Cars 🚗 Many modern cars now use gesture recognition technology to enhance driver convenience and safety. Instead of manually adjusting the volume using physical buttons, drivers can simply: 🔹 Rotate their hand in the air to increase/decrease volume 🎵 🔹 Swipe to change tracks ⏭️ 🔹 Use gestures to answer or reject calls 📞 This reduces distractions and helps drivers keep their eyes on the road, improving overall road safety! 🛣️ 🔍 Tech Stack: ✔ OpenCV (for image processing) ✔ Mediapipe Hand Tracking ✔ Pycaw (for system audio control) ✔ NumPy & Math (for distance calculations) This project was a fun and interactive way to explore computer vision & gesture recognition. The next step? Adding gesture-based media controls! 🎶 Would love to hear your thoughts! What other real-world applications can you think of for gesture-based controls? 🤔💡 Want source code?? Look here - https://lnkd.in/d8TsgJbW #ComputerVision #Python #OpenCV #MachineLearning #GestureRecognition #ArtificialIntelligence #DeepLearning #AI #Innovation #HandTracking #Tech #Automation #FutureTech #DataScience #SmartCars #GestureControl #AIinAutomobiles #ImageProcessing #NeuralNetworks #SmartVehicles #SelfDrivingCars #AutonomousDriving #Robotics #EdgeAI #TechForGood #HumanComputerInteraction #DigitalTransformation #SmartTechnology #DeepLearningModels #InnovationInAI #MachineVision #GestureBasedUI #HandGestureRecognition

Google's innovative venture, Project Soli, is set to redefine how we interact with technology. Utilizing a hand gesture recognition sensor powered by machine learning is a transformation in user interface design. 𝐂𝐨𝐫𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬 𝐨𝐟 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐒𝐨𝐥𝐢 - Innovative Sensor Technology: At the heart of Soli lies a tiny sensor that can fit onto a chip, capable of tracking sub-millimeter hand gestures with exceptional speed and accuracy. This is achieved through the use of advanced radar technology. - Machine Learning at Its Core: Soli isn't just about hardware. The real magic happens with its custom-built machine learning models, which are designed through robust data collection pipelines. These models are tailored for various use cases, enabling Soli to understand and interpret a wide range of hand movements. - Touchless Interaction: Imagine controlling your electronic devices with a simple wave of your hand or the flick of a finger - no need to touch, just gesture in the air. This capability could change everything from how we manage home appliances to how we interact with car infotainment systems or public kiosks, offering a more hygienic and accessible form of interaction. Project Soli has significant implications for user accessibility, convenience, and the overall user experience. By removing the need to touch, it opens up new avenues for users with mobility or tactile limitations and presents a more intuitive way for everyone to interact with their devices. Beyond consumer electronics, this technology could be integrated into medical devices, enhancing accessibility for patients with limited mobility, or even in industrial settings, where clean or touch-free environments are critical. What possibilities do you see opening up with touchless gesture technology? How do you think Project Soli could change the landscape of device interaction in your industry? #innovation #technology #future #management #startups