Projects using OpenCV in RawalpindiProjects using OpenCV in Rawalpindi
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Cover image for I developed a real-time Air
I developed a real-time Air Drawing Application that uses Computer Vision to transform hand gestures into digital input. By utilizing a standard webcam, the app allows users to draw, erase, and select colors in mid-air without any physical contact with the screen. Key Technical Features: Hand Tracking: Integrated MediaPipe to track 21 specific hand landmarks with high precision and near-zero latency. Gesture Logic: Programmed custom state-switching—using a single index finger for "Drawing Mode" and a two-finger gesture for "Selection Mode" to navigate the UI. Real-time Rendering: Leveraged OpenCV for video processing and to create a dynamic, responsive canvas overlay. This project demonstrates my ability to build Human-Computer Interaction (HCI) tools and implement real-time AI solutions using Python.
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Cover image for Contours Extraction & DXF Export from Images-AI-Based End-to...
Contours Extraction & DXF Export from Images-AI-Based End-to-end computer vision solution that automatically detects objects in an image, accurately measures in real-world units, &exports result as a scalable DXF file. Key Features Uses background subtraction & morphological operations, extract objects from image, even in cluttered or noisy backgrounds. Detects known reference object (coin) in image & computes precise scaling factor (mm/px) using OpenCV contours & geometric heuristics. Clean object edges are extracted & converted into vector contours with pixel-level precision. Object outlines are transformed into vector splines & exported as .dxf files, fully compatible with CAD tools like AutoCAD, LibreCAD, SolidWorks, & Fusion360. User-friendly frontend for non-technical users to upload images & receive DXF files .
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