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JonysArcanjo/README.md

Computer Vision  Machine Larning

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About me

Hello, I'm Jonys Arcanjo! As a Computer Vision and Machine Learning Engineer, with over 4 years of experience in the field, my professional journey has led me to work on a variety of projects. This ranges from developing solutions for determining credit scores and establishing credit limits for clients, to solutions for object detection, recognition, and real-time video analysis.

My passion for continuous learning has driven me to consistently seek updates and deepen my knowledge in emerging areas, culminating in the completion of several courses in Deep Learning and Computer Vision.

Whether it's to discuss potential projects, collaborations, or just to exchange ideas about the latest trends in Computer Vision and Machine Learning, I'm always available and eager to chat. Get in touch!


Skills

Python TensorFlow PyTorch Amazon Web Services Google Cloud SAP OpenCV

Latest Projects

Landmark Detection with MediaPipe

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🚀 In this project, we explore the power of MediaPipe, an open-source platform developed by Google, to simplify the development of multimedia applications. Specifically, we utilize the BlazePose model GHUM 3D to detect and analyze 33 body landmarks, providing a comprehensive three-dimensional representation for accurate pose estimation. Enhance your applications with intuitive visualization and detailed performance analysis using this robust framework. 🌐✨ Application Demo
Click here


Facial Landmark Detection with OpenCV

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🚀 This repository contains a Python script that uses dlib and OpenCV for facial detection in images. Once a face is detected, it identifies and visualizes 68 facial landmarks. These landmarks represent various key points on a face, such as the corners of the eyes, the tip of the nose, etc.✨


Click here


Drowsiness Detection

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🚀 This project uses Python computer vision to monitor a user's eyes and detect signs of drowsiness. This technology has the potential to prevent accidents related to drowsiness, such as those that occur while driving.✨
Application Demo

Click here


Deforestation Analysis with Landsat 8

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🚀 The Indigenous Land (IL) Mãe Maria, located in the Amazon Region, specifically in the southern part of the state of Pará, is home to three indigenous groups: Gavião Akrãtikatêjê, Gavião Kykatejê, and Gavião Parkatêjê, totaling 709 inhabitants in an area of 62,488 hectares. These communities face conflicts stemming from various activities, such as governmental entities' actions, dam and hydroelectric power plant construction, the establishment of waterways, highways, railways, port complexes/terminals, and airports, in addition to public policies and environmental legislation.✨
Click here

📚 Latest Blog Posts

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  1. Drowsiness_Detection Drowsiness_Detection Public

    Drowsiness Detection

    Python

  2. Facial_landmark_Detection_with_OpenCV Facial_landmark_Detection_with_OpenCV Public

    Facial landmark Detection with OpenCV

    Python

  3. Deforestation_Analysis_with_Landsat8 Deforestation_Analysis_with_Landsat8 Public

    Deforestation analysis with Landsat8

    Jupyter Notebook 1

  4. Landmark_Detection_with_MediaPipe Landmark_Detection_with_MediaPipe Public

    Landmark_Detection_with_MediaPipe

    Jupyter Notebook