Code for Computer Science

Object detection is a computer vision technique for locating instances of objects in images or videos. We can recognize and locate objects of interest within a matter of moments. The goal of object detection is to replicate this intelligence using a computer. For example: in this video, I detected faces from books, newspapers, statues, soft toys using the webcam. Simple Webcam Face Detector: Book:  Face and Facial Expression Recognition Simple Webcam Face Detector in Matlab~xRay Pixy

disp ( X )  displays the value of variable X without printing the variable name. And  fprintf  Matlab function allows you to "write" information to the screen for the user to view. For example, here we display the maximum value of S using  disp  function. Here, in this video we used disp function to disply the minimum and maimum values of variable R and S. We also performed different arithmetic operations (+,-,*,/) in the MATLAB command window. What is the difference between disp and fprintf in MATLAB? For Video Click Here...

Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Watch Video:    Nose Detection Facial FEATURES: In any recognition system, the selection of feature extraction plays a vital role. There are a lot of feature extraction techniques proposed efficiency of the proposed system is not acceptable due to the lack of appropriate feature selection. MATLAB CODE: -

Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Using this Matlab code you can: - Create your own face detection system - It is is easy and simple to understand. Book : Face and facial Expression Recognition MATLAB CODE FOR FACIAL FEATURE DETECTION How to Detect Facial Feature using Matlab The Algorithm used for face detection is the Viola-Jones algorithm. Different models are available

Coronavirus  Coronavirus disease 2019 (COVID-19) is a new disease. This virus is a major problem. Coronaviruses are named for the crown-like spikes on their surface. Coronavirus disease (COVID-19) is an infectious disease caused by a new virus. The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing.  What is Coronavirus?                            Coronaviruses (CoV) are a large family of viruses. How does the Virus works?   viruses work by getting inside the cells your body is made of and then hijacking them. How Do Coronavirus works?        It first infects the cells lining your throat, airways, and lungs and turns them into coronavirus factories.  Different Types of Cells in the Human Body include. Stem cell, bone cell, blood cell, skin cell, muscle cell, sex cell, cancer cell, nerve cell, and fat cell. Protection from Coronavirus.- Take steps to protect yourself Cove