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Anne - Face recognition using computer vision in IoT enviroment - 5th semester project developed at Paulista University

ADAM es un proyecto enfocado en el desarrollo de soluciones inteligentes y modulares para la integración de sistemas digitales. Su propósito es facilitar la optimización de procesos y la interacción humano-máquina mediante arquitecturas escalables y orientadas a la innovación tecnológica.

A Python project about facial recognition using various methodologies involves the development of a system that can detect and recognize human faces by applying a range of techniques and algorithms.

Development, innovation, and support for image segmentation in computer vision workflows.

A Python project using deep learning for image recognition develops a system that applies convolutional neural networks (CNNs) to identify and classify objects, such as cars , enabling accurate recognition of various figures from training datasets.

The Vision Computing API is designed to make computer vision accessible, scalable, and easy to integrate into applications. It enables developers to leverage advanced image analysis techniques such as classification, object detection, face recognition, and text extraction through simple REST endpoints. By combining pre-trained models with support

Educational autonomous car project combining computer vision, deep learning, and embedded systems. Runs on Raspberry Pi with camera; uses TensorFlow CNNs to recognize traffic signs and ultrasonic sensors for obstacle avoidance, executing real-time driving commands.

Sistema de visão computacional para gerar mapas de calor com base na movimentação em espaços públicos, auxiliando no planejamento urbano e uso eficiente do espaço.

Repositório de Vitor zamir, aluno senai da WorldSkills #23

Proyecto de Ciencia de Datos que añade un canal ultravioleta sintético a imágenes de plumas para simular visión tetrocromática de aves, extraer embeddings con BEiT y agrupar especies mediante clustering y dendrogramas.

Documentação do Trabalho

A crime scene reconstruction is planned by stitching several photographs together to reproduce the events. The photographs were taken from different perspectives to capture the greatest amount of visual information from the scene.

Este repositorio contiene la solución al examen práctico de la asignatura de Visión por Computadora. Se abordan técnicas fundamentales de procesamiento de imágenes para la detección de regiones conectadas, identificación de grietas y localización de marcadores de referencia.

Development and implementation of a leukocyte detection and counting algorithm for diagnosing malaria using the thick blood smear technique (thick blood smear imaging). The algorithm should generalize the detection and counting process to all images.

Jogo da soma utilizando o OpenCV

The visual perception of a billboard, which suffers from lighting and noise issues, needs to be improved. Additionally, the billboard must be viewed frontally, which means the visual perspective must be changed from its current oblique position.

Planejamento de Infraestrutura e Análise Técnica para Sistemas de Vigilância Inteligente: Uma Avaliação entre YOLOv8, YOLO11 e YOLO26

End-to-end computer vision project for detecting security equipment using YOLOv11 and OpenCV. Deployment via Docker and AWS.