Category: Computer Vision

Gesture Control Unleashed: Building a Real-Time Gesture Recognition System for Smart Device Control ( with OpenCV)

Gesture Control Unleashed: Building a Real-Time Gesture Recognition System for Smart Device Control ( with OpenCV) In this tutorial, we will explore how to build a real-time gesture recognition system using computer vision and deep learning algorithms. Our goal is to enable users to control smart devices through hand gestures captured by a camera. By the end of this tutorial, you will have a solid understanding of how to leverage Python and its libraries to implement gesture recognition and integrate…

Part 1: Turning an RC Car into an Autonomous Vehicle (1/5)

Part 1: Turning an RC Car into an Autonomous Vehicle (1/5) Autonomous vehicles, also known as self-driving cars, have become increasingly popular in recent years due to their potential to improve transportation efficiency and reduce accidents. In this tutorial, we will explore how to build an autonomous vehicle from an RC car using a Raspberry Pi or Arduino for processing. We will use Python to program the vehicle’s behavior, and we will integrate sensors such as ultrasonic sensors and a…

Reconocimiento de las emociones humanas con IA. (TensorFlow, Keras, OpenCV) (en español)

Reconocimiento de las emociones humanas con IA. (TensorFlow, Keras, OpenCV) (en español) La detección de emociones es una tarea de aprendizaje automático que consiste en detectar y clasificar las emociones expresadas por los humanos a través del habla, las expresiones faciales y otras formas de comunicación no verbal. La detección de emociones tiene aplicaciones en campos como la psicología, el marketing y la interacción hombre-computadora. En este tutorial, exploraremos cómo construir un sistema de detección de emociones utilizando Python y…

Recognizing human emotions with AI. (TensorFlow, Keras, OpenCV)

Recognizing human emotions with AI. (TensorFlow, Keras, OpenCV) Emotion recognition is a machine learning task that involves detecting and classifying emotions expressed by humans through speech, facial expressions, and other forms of non-verbal communication. Emotion recognition has applications in fields such as psychology, marketing, and human-computer interaction. In this tutorial, we will explore how to build an emotion recognition system using Python and machine learning. Step 1: Installing the required libraries The first step is to install the required libraries.…