Photo by Javier Jaén, Svetikd on The New Yorker Deepfake has been derived from “Deep Learning” which is a part of Machine Learning and involves the use of Artificial Neural Networks and the other word is “fake”. Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else’s …
Object Detection can be defined as the task of object classification and localization. Object Detection plays an important role in many Deep Learning projects and AIoT Applications such as we need object detection for Autonomous Vehicles, we need it for security camera surveillance, and even for applications used by us for generating PDFs nowadays uses …
Currently, the whole world is affected by COVID-19 pandemic. Wearing a face mask will help prevent the spread of infection and prevent the individual from contracting any airborne infectious germs. When someone coughs, talks sneezes they could release germs into the air that may infect others nearby. Face masks are part of an infection control …
Recognize common gestures using the accelerometer and gyroscope sensors and use the same in implementing a home automation system. Photo by Marco Coppeto on Dribbble and Matt Harvey on Vimeo TinyML – A gesture is the movement of the hand to express an idea or meaning. There are various ways of reading a gesture. The aim …
Gesture recognition using TinyML devices — home automation applications Read More »
Classifying fetal health using CTG data in order to prevent child and maternal mortality. Photo by Vivi Garleone on Dribbble United Nation’s Sustainable Development Goals reflect that reduction of child mortality is an indicator of human progress. This concept also includes maternal mortality. Most of the accounted losses have occurred in regions of low-resource and could …
Detecting whether a human is experiencing a positive, negative, or neutral emotion based on EEG brainwave data analysis Photo by Lobster on Dribbble Brain cells communicate with one another through electrical signals. EEG, which stands for electroencephalography, is a method to record the electrical activity of the brain using electrophysiological monitoring. This is done through non-invasive (in …
Analyzing EEG brainwave data to detect emotions — on cAInvas Read More »
Photo by Cabify Design on Dribbble According to Wikipedia: Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on contextual information in images. “Contextual” means this approach is focusing on the relationship of the nearby pixels, which is also called neighborhood. The goal of this approach is to …
Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. Photo by Aleksei Vasileika on Dribbble In this article, a notebook is presented which contains the development of a system that detects four types of 3D shapes — Cube, Cylinder, …