Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
License Plate Recognition is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. I made this using simple Python code.
Steps involved in License Plate Recognition
License Plate Detection: The first step is to detect the License plate from the car. We will use…
To make a web portal first we have to know how we can make a web server using RHEL8. For this first we have to launch a Redhat Linux OS and configure yum in it. Then we can make a web server using command yum install httpd. Once the installation…
A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through , works by pinpointing verification services and measuring facial features from a given image.
In this blog, we are going to see how we can perform various tasks using Facial Recognition. So, first task is to send a email to someone using facial recognition. For this we have to use SMTP protocol.The …
OpenCV is a library of programming functions mainly aimed at real-time computer vision.It can be used to do various operations like making a love streaming video chat app. Before knowing how we can do that we should know what is socket programming.
Socket programming is a way of connecting two nodes on a network to communicate with each other. One socket(node) listens on a particular port at an IP, while other socket reaches out to the other to form a connection. …
OpenCV is the huge open-source library for the computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today’s systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human. In this section, we are going to see how one can perform various operations while doing image processing with the help of OpenCV library.
With the help of OpenCV library different operations can be done like making an image, changing color of the image & face detection . Some of them are shown below:
Create image by yourself Using Python Code
For making an image, one should first understand that all the images are collection of 2D arrays and the smallest…
Cyber-attacks have become one of the biggest problems of the world. They cause serious financial damages to countries and people every day. The increase in cyber-attacks also brings along cyber-crime. The key factors in the fight against crime and criminals are identifying the perpetrators of cyber-crime and understanding the methods of attack. Machine learning has become a vital technology for cybersecurity. Machine learning preemptively stamps out cyber threats and bolsters security infrastructure through pattern detection, real-time cyber crime mapping and thorough penetration testing.
Particularly in the last decade, Internet usage has been growing rapidly. However, as the Internet becomes a part of the day to day activities, cybercrime is also on the rise. Cybercrime will cost nearly $6 trillion per annum by 2021 as per the cybersecurity ventures report in 2020.
Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers.Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels.
Docker is everywhere in the software industry today. Mostly popular as a DevOps tool, Docker has stolen the hearts of many developers, system administrators and engineers, among others.It can be integrated with ML to run different models.
The process of using docker container for running ML models is very easy. We just need to follow following steps:
Train your model using jupyter notebook and name the trained model as “salary_predictor.pk1”.