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.

Classification System Design using Redundant Robot and Artificial Vision (Diseño de Sistema de Clasificación usando Robot Redundante y Visión Artificial)

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.

Traffic lights tracking and color detection with OpenCV. Combination of a MOSSE tracker and inner freehand rectangles.

Experiment on the theoretical aspects of color image detection and classification algorithms, and implementation of it for skin segmentation and finger counting. ✌🏼

This programm recognise different objects from a video. Used technologies: Yolov8 and Django

Procesamiento digital de imágenes (algoritmos, operaciones sobre las imágenes, obtención de características, proyectos end2end).

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 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.

Final project of the subject Computer Vision.

Robot - Object detector - Artificial vision

Artificial vision algorithms.

This is an API written in Python using the Django framework. It performs face recognition and training of a person's face model.

Here we present the trained model and the algorithm that let us win the ICIAP2023 ONFIRE contest

People detection with a neural network to detect people in urban environments using custom-extracted image features. The NN is trained on a dataset consisting of images categorized into scenes with people and without people but with animals. The dataset used was created by generative AI.

Artificial vision project

Project made for "Artificial Vision and Biometrics Fundamentals" course. We used facial landmarks to classify subjects emotions expressed through facial expressions

This repository was created for the thesis work related to the Artificial Vision subject at the University of Salerno.