🚀 Built a Real-Time Face Detection System using Python! One of those projects that just hits different when you see it working live on your webcam 👁️ Here's what I used under the hood: 🔹 OpenCV – for real-time video capture & drawing bounding boxes 🔹 Haar Cascade / MediaPipe – for accurate face detection 🔹 Python – keeping it clean & simple What it does: ✅ Detects faces in real-time from webcam feed ✅ Draws bounding boxes around detected faces ✅ Works smoothly even on low-end hardware (tested on my laptop – no GPU!) Computer Vision isn't as intimidating as it sounds. Once you break it down step by step, it's actually super fun to build! 🔥 Currently exploring how to extend this into emotion detection and face recognition 👀 Share your thoughts — Have you tried building anything with OpenCV or MediaPipe? Drop it in the comments! 👇 #Python #ComputerVision #OpenCV #FaceDetection #MediaPipe #AIProjects #MachineLearning #BuildInPublic #StudentDeveloper #ArtificialIntelligence #100DaysOfCode #ShadevProjects
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Built an Interactive Computer Vision Image Processing Toolkit using OpenCV and Streamlit. This project focuses on implementing core image processing operations and making them accessible through a simple web interface. Key functionalities: • Grayscale conversion • Canny edge detection for boundary extraction • Gaussian blur for noise reduction • Sepia filter using matrix transformation • Image rotation using affine transformations Tech Stack: Python, OpenCV, NumPy, Streamlit Key takeaways: • Improved understanding of image transformations and filtering • Learned practical challenges like BGR vs RGB inconsistencies • Built an interactive pipeline for real-time image processing GitHub: https://lnkd.in/gWXEGTNk Open to feedback and opportunities in Computer Vision / ML roles. #ComputerVision #OpenCV #Python #MachineLearning #SkillArbitrage #NSDC
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I built a vehicle counter using Python, YOLOv8, and OpenCV. This project automatically detects and counts cars on a busy road in real time. Check out the breakdown of how it works. - Used YOLOv8 for object detection to identify vehicles. - Implemented the SORT algorithm for tracking objects across frames. - Applied a mask to focus detection on the roadway. - Drew a counting line to trigger the tally when a vehicle center point crosses it. - Combined OpenCV functions to display live tracking and the final vehicle count. Github link: https://lnkd.in/gXf6M9JP #opencv #python #computervision #yolo #youonlylookonce #ai #machinelearning #objectdetection #sort
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Excited to share my Computer Vision project: Smart Lane Detection System 🚗 This project focuses on real-time lane detection using Python, OpenCV, NumPy, Canny Edge Detection, Region of Interest (ROI) masking, and Hough Transform. The system is designed to detect road lane boundaries from video input and highlight lane lines for better road analysis and driving assistance. It demonstrates the practical implementation of Computer Vision and Image Processing techniques in real-time video analysis. 🔹 Key Features: • Real-time lane detection • Edge detection using Canny Algorithm • Lane line detection using Hough Transform • ROI (Region of Interest) masking • Video-based road lane analysis • Lane boundary highlighting 🔹 Technologies Used: Python | OpenCV | NumPy | Computer Vision | Image Processing 🔹 GitHub Repository: https://lnkd.in/dkbfaKvp I built this project as a self-learning initiative to strengthen my practical understanding of Computer Vision, image preprocessing, and real-time video processing. Looking forward to learning more and building advanced Computer Vision solutions. #ComputerVision #Python #OpenCV #NumPy #MachineLearning #ArtificialIntelligence #LaneDetection #ImageProcessing #GitHub #Projects #SoftwareEngineering #Developer
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What if you could write… without touching anything? 🤯 I built an Air Writing System using Computer Vision that lets you draw in the air using just your hand ✋✨ Using Python, OpenCV, and MediaPipe, I implemented: 🎨 Gesture-based drawing 🧽 Smart erase system 🎯 Real-time hand tracking 💾 Save functionality This was a fun project that shows how AI can make human-computer interaction more natural and futuristic. More cool projects coming soon 🚀 #AI #ComputerVision #OpenCV #Python #TechProjects #Innovation #FutureTech
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🚀 Day 6/30 – Counting Game using OpenCV & Python 🐍🎮📷 Day 6 of my 30 Days Python Challenge, and today I built something fun with Computer Vision ✨ I created a real-time Counting Game using OpenCV, where the system tracks the count visually and makes the interaction more engaging while improving logic-building with image processing 💻 What I focused on today: ✨ Real-time frame processing with OpenCV ✨ Counting logic with visual feedback ✨ Building an interactive game experience ✨ Exploring practical computer vision concepts And this is just the start 👀 For the next 5 days, I’ll be sharing more OpenCV-based Python projects, diving deeper into real-time vision applications 🚀 👉 Would love your feedback! 👉 Suggest an OpenCV project I should build next 😄 Day 7 coming tomorrow… stay tuned 👀 #Python #OpenCV #ComputerVision #30DaysChallenge #PythonProjects #CodingJourney #BuildInPublic #AI #MachineLearning
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Here is the research paper associated with the JNLR library. https://lnkd.in/gqZamwiq The library can be extended to compute Mean and Gaussian curvature by extracting max eigenvalues in the tangent space (max_tangent_eigenvalue ) #JAX #JNLR #ManifoldCurvature
Happy to announce the first release of 𝐉-𝐍𝐋𝐑, a 𝐉𝐀𝐗 native Python library for 𝐧𝐨𝐧-𝐥𝐢𝐧𝐞𝐚𝐫 𝐫𝐞𝐜𝐨𝐧𝐜𝐢𝐥𝐢𝐚𝐭𝐢𝐨𝐧, learning, and geometric analysis on constraint manifolds 🎉 The main capabilities of the library: ✅ Projection on arbitrary explicit (charts) or implicit manifolds 📐 ✅ Mesh generation on 3D manifolds 🌐 ✅ Efficient computation of geodesic paths and distances. 🐜 ✅ (Curvature-based) sampling of explicit/implicit manifolds 🥏 ✅ Dynamic visualisation tools to visualise 3D data 🧿 J-NLR leverages JAX’s hardware acceleration and auto-diff to make geometric analysis faster. Any feedback is welcome! #JAX #MachineLearning #DifferentialGeometry #Python #OpenSource #GeometricDeepLearning
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🚀 Face Recognition System using Machine Learning Excited to share that I built a real-time Face Recognition system using Python and Machine Learning. 🔍 Project Overview: The system captures facial data, trains a model on labeled images, and performs real-time face recognition using a webcam. 💡 Key Features: • Face Detection using Haar Cascade Classifier • Face Recognition using LBPH Algorithm • Real-time prediction using webcam • Custom dataset creation 🤝 This project was developed collaboratively as part of a team, where I played a key role in building the complete pipeline—from data collection to real-time recognition. 🛠️ Tech Stack: Python | OpenCV | NumPy | Machine Learning 🔗 GitHub Repository: https://lnkd.in/gYUzw-uk This project helped me strengthen my understanding of computer vision and real-time applications. Looking forward to building more such projects! 💡 #MachineLearning #FaceRecognition #ComputerVision #Python #OpenCV #AI #Projects
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🚀 Excited to share my latest project: an Image Editing App built using Python, Streamlit, and OpenCV! This interactive application allows users to: 🖼️ Upload images easily 🎨 Apply filters like Blur, Sharpness, Brightness, Contrast, Grayscale, and Edge Detection ⚡ Preview edits in real time 📥 Download the edited image instantly Through this project, I gained hands-on experience in: Image Processing with OpenCV Building interactive web applications using Streamlit Working with NumPy for image manipulation Thanks to trainer Ramkumar Eetakota sir ,Mentor Sai Manoj sir for explaining complex concepts easily Thank you Innomatics Research Labs for constant guidance . #Python #MachineLearning #ComputerVision #OpenCV #Streamlit #ImageProcessing #DataScience #Projects
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Turning ideas into visuals with code! I recently worked on building a simple Drawing Board using Python,OpenCV,NumPy where users can draw, erase, and create shapes interactively. What I implemented: • Drawing tools (Pen & Eraser) • Shapes (Line, Rectangle, Circle) • Color customization using RGB trackbars • Canvas controls (Clear & Save) • Extra features like Fill and Undo This project gave me practical exposure to handling mouse events and building interactive applications using OpenCV. Still exploring ways to make it more advanced and user-friendly. #Python #OpenCV #BuildInPublic #LearningJourney #ComputerVision
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🚀 Recently worked on a Computer Vision project! Built a Human Motion Detection System using Python, Django, and OpenCV. 📸 The image shows the system tracking human movement and analyzing activity in real time. 🔍 It can identify: • Idle • Active • Movement 💡 This project helped me understand how video processing and motion tracking work behind the scenes. Tech Stack: • Python • Django • OpenCV Looking forward to improving this further and adding more intelligent features! #Python #Django #OpenCV #ComputerVision #AI #Projects #Learning
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