Recognition of handwritten flowcharts using convolutional neural networks to generate C source code and reconstructed digital flowchart.
Python implementation of tracking surgical attachment for accurate monocular pose estimation with aruco markers.
ROS implementation of shopping bot manager on Pepper. This is for an university project.
The API utilizes the power of the Intel Realsense depth camera. Thanks to infrared sensors, the camera is able to calculate the distance and return the three-dimensional coordinates (x, y, z) of a detected person.
This programm recognise different objects from a video. Used technologies: Yolov8 and Django
This project outlines the development and implementation of an automatic cat feeder, leveraging an artificial vision system. The system operates in two modes: automatic and manual, aiming to enhance pet feeding using Raspberry Pi and Arduino.
This is an API written in Python using the Django framework. It performs face recognition and training of a person's face model.
Real-time person detection system using computer vision and YOLO models for security and access control applications.
Documentación de mi proyecto de investigación en el Centro de Investigación en Computo - IPN. Clasificación de objetos por color y forma utilizando OpenCv sobre sistema operativo Raspbian, utilizando un brazo robótico de la empresa HiWonder, modelo MaxArm.
Development of a distributed fleet management system for mobile robots using ROS 2, optimizing navigation, task allocation, and coordination via a master-slave architecture.
Artificial vision project
Bokeh effect simulator for Image Processing
AI-generated content detector for images and text : Gradio app with 2-model ensemble, confidence-based verdicts and per-paragraph analysis
Image recognition, edition and segmentation using OpenCV in Python. Developed by https://github.com/dakolas and me.
Brain tumor binary segmentation using a 2D U-Net model and the Figshare Brain Tumor Dataset by Cheng.
Control de motor a pasos mediante ROS (En progreso)
✂️✨ Easily crop ROIs from images and save their coordinates
This repository contains the exercises from the course on computer vision, which includes topics such as image classification, object detection, introduction to perceptron, and classification algorithms like KNN and K-means.
Unitree H1-2 pick & place
To associate your repository with the artificial-vision topic, visit your repo's landing page and select "manage topics."