#computervisionalgorithms

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[pantechlearning]

Computer vision is an area of study which allows computers to identify the visual world humans can see. It’s a division of AI which retrieves information from digital images or videos. It then processes the images to define its attributes. Open-Source Computer Vision Library, also known as OpenCV, is a library for machine learning. It is using to develop computer vision applications. With the field of computer vision gaining popularity, OpenCV Projects starts to become popular among students.

Why Open Computer Vision Projects are Important?

OpenCV is the large open-source library for the computer vision, ML, and image processing. Also it plays an important role in real-time operation which is very crucial in today’s systems. We can process images and videos by using Open Computer Vision. Thus we can identify objects, recognize faces, or even handwriting of a person.

One of the main advantages of Open Computer Vision is that it is highly optimized. Also it is available on various platforms. OpenCV is totally free of cost. Since the Open Computer Vision library is written in C/C++, so it is quit fast. Now it can use along with Python. It needs less RAM for usage.  Generally it is of 60-70 MB in size. Computer Vision is portable because OpenCV can run on any device. OpenCV Projects plays important role in real time computer vision.

Where can you find best OpenCV Projects?

Pantech eLearning is a Chennai based Online Learning Service provider. We are offering projects on OpenCV. These Projects introduces you to the amazing world of Computer Vision and also its fascinating applications.

Given below are the Top 10 OpenCV Projects:

Eyeball Movement Based Wheel Chair

In this method camera focuses on the eye by using OpenCV. We need to find out the centroid of the eyeball. By tacking the eyeball movement, we can move the wheel chair accordingly.

License Plate Recognition

This paper presents license plate recognition system using connected component analysis and also template matching model for accurate identification.

Face Counting Application

This is done by pre-processing the face image at first and then extracting the face features. Then the detection of human faces is done using Haar.

Object Recognition

The project presents object characteristics analysis using image processing techniques for automated vision system used at agricultural field.

Human Action Recognition

The objective of this project is to recognise and also annotate the human action in an unconstrained environment, where the images contain a huge range of variability.

Social Distance Monitoring System

We introduce the Social Distancing (VSD) problem, defined as the automatic estimation of the inter-personal distance from an image.

Exam Malpractice Detection

The paper proposes a workflow for the automatic detection of anomalous behaviour in an examination hall, towards the automated proctoring of tests in classes.

Hand Gesture Recognition

The intention of this project is to discuss a novel approach of hand gesture recognition depends on detection of some shape base features.

Currency Detection

This paper proposes an image processing technique to extract paper currency denomination.

Food Calories Detection

This paper proposes a method of ingredient-based food calorie estimation using nutrition knowledge and also information.

Visit our Website and Book your Projects Now.

[markiis]

Traffic sign recognition applications (a computer vision application) are on the rise - Germany is leading the drive! #computervision #computervisionsyndrome #computervisiontechnology #computervisions #computervisionlab #computervisionalgorithms #computervisionsyndrom #computervisionhackathone #computervisioncenter #computervisionengineer #computervisionapi #computervisioneyestrain #computervisionglasses #computervisionproject #computervisionscientist #computervisionallnighter #computervisionchallenge #computervisionhackathon #computervisionmetro6r4 #computervisionaries #computervisionfail #computervisionbias #computervisionstar #computervisionishard #computervisionandpatternrecognition #computervisionftw #computervisionlaboratories #computervisionapplications #computervisionresearchgroup #computervisionersconference https://www.instagram.com/p/BsCVopiHN9M/?utm_source=ig_tumblr_share&igshid=iix2i2aav1hq

[pantechelearning]

Trending OPENCV Online Computer Vision Projects Open-Source Computer Vision Library, also known as OpenCV, is a library for machine learning. It is using to develop computer vision applications. You can start with OpenCV Projects OpenCV allows you to create a variety of projects, ranging from detecting faces and objects, classifying human actions to tracking movements, etc. Pantech eLearning Chennai is an Online Learning Service provider. We are offering projects on Open Computer Vision. Some of the topics we are offering are Advanced Driver Assistance System, Eyeball Movement Based Wheel Chair Control, Social Distance Monitoring System, Human Action Recognition, and many more. Certifications will also provide after the successful completion of the projects. Visit our Website and Book your Projects Now. Link : https://lnkd.in/e8AsHTd #opencv #opencvprojects #computervision #artificialintelligence #machinelearning #imageprocessing #opencvpython #computervisionalgorithms #projects #elearning #onlinelearning #education #chennai #coimbatore #hyderabad #vijayawada #india https://instagr.am/p/CKGfa0apyI8/

[blockgeni]

Algos better than humans at tracking the galaxies

Way easier than getting humans to scour petabytes of images by hand, looking for faraway systems Astrophysicists have developed AI software to help scientists automatically detect and describe galaxies snapped by telescopes surveying the distant sky. The program, known as Morpheus, was built over a two-year period by a computer scientist and an astrophysicist at the University of California, Santa Cruz. Morpheus employs a range of computer vision algorithms, including a neural network, that segments objects in the image from the empty background of space, and analyses each detected galaxy pixel-by-pixel to classify its type, whether it’s disk, spheroidal, or irregular shaped. The goal is to trawl through petabytes of images, picking out faraway systems, far faster than humans can. A paper detailing the code was published in The Astrophysical Journal this week. The software supports images in the Flexible Image Transport System (FITS) format widely used for astronomical data. That means Morpheus can directly analyse a telescope’s data without having to convert it to other formats, like JPEG or PNG, first. The programmers trained their system on 7,600 galaxy images snapped by NASA’s Hubble Space Telescope and checked by human astronomers. Brant Robertson, who worked on the code, told The Register it has high accuracy rates for galaxies that are more well-defined. “When expert astronomers agree on the galaxy classification, Morpheus is 82 to 98 per cent accurate depending on the class of object," he said. "When detecting objects, Morpheus recovers over 98 per cent of the galaxies in the survey data used to train the model.” It may struggle if a galaxy appears blurry or is particularly oddly shaped, in other words. The code for Morpheus is available here, though it probably won't run that quickly unless you have a supercomputer to hand. Luckily, the folks over at UC Santa Cruz have Lux, a system that contains "dozens of nodes that each have two 32GB Nvidia V100 GPUs." "We are trying to make the code easy to use. We've provided tutorials in the form of Jupyter notebooks that show how to use Morpheus on existing data," Robertson told El Reg. "The code will work on CPUs if needed, but it's optimized for use with GPUs. If people have an Nvidia GPU on their home system for gaming and access to the GPU enabled version of TensorFlow, then they can get pretty good performance from the model." Robertson, a professor of astronomy and astrophysics, worked with Ryan Hausen, a computer science graduate student, to build the framework, which they hope can be used with data from the future Legacy Survey of Space and Time (LSST). That survey will start in 2022 when the Vera C. Rubin Observatory, under construction in Chile, has been built. The LSST will employ a large eight-metre telescope attached to a 3.2 gigapixel camera to capture the entire southern hemisphere every three days over ten years. It’s expected to haul in 200 petabytes of data. Pictures of space may be pretty to look at, when there’s billions of objects to study in the images, it starts to slip into tedium, hence the need for AI automation. Humans won’t be able to manually look through each image, anyway. “There are some things we simply cannot do as humans, so we have to find ways to use computers to deal with the huge amount of data that will be coming in over the next few years from large astronomical survey projects," said Robertson. And that's where Morpheus comes in handy, automatically detecting galaxies among stars and planets, and classifying each one by its type, leaving boffins enough spare time to put on a cuppa at least. This article has been published from a wire agency feed without modifications to the text. Only the headline has been changed. #galaxies#petabytes#Astrophysicists#AIsoftware#Lux#GPU#galaxy#computervisionalgorithms#neuralnetwork#news#blockgeni Source link Read the full article

[pantechlearning]

Open-Source Computer Vision Library, also known as OpenCV, is a library for machine learning. It is using to develop computer vision applications. With the field of computer vision gaining popularity, Open Computer Vision highly starts to accelerate with individuals as well as businesses.

OpenCV allows you to create a variety of projects, ranging from detecting faces and objects, classifying human actions to tracking movements, etc. Open Computer Vision is the most common library for computer vision, offering lots of complex and fast algorithms.

What is Open Computer Vision?

Computer vision is an area of study which allows computers to identify the visual world humans can see. It’s a division of AI which retrieves information from digital images or videos. It then processes the images to define its attributes.

OpenCV is the large open-source library for the computer vision, ML, and image processing. Also it plays an important role in real-time operation which is very crucial in today’s systems. We can process images and videos by using Open Computer Vision. Thus we can identify objects, recognize faces, or even handwriting of a person.

Currently Open Computer Vision supports different programming languages like C++, Python, Java etc. It is also available on various platforms including Windows, Linux, OS X, Android, iOS etc.

Why OpenCV is using for Computer Vision?

The OpenCV library allows us to run computer vision algorithms effectively in real time. It was using for many years, and has become the standard library in the field of AI. One of the main advantages of Open Computer Vision is that it is highly optimized. Also it is available on various platforms.

OpenCV is totally free of cost. Since the Open Computer Vision library is written in C/C++, so it is quit fast. Now it can use along with Python. It needs less RAM for usage.  Also it is of 60-70 MB in size. Computer Vision is portable because OpenCV can run on any device.

You can start with OpenCV Projects

The algorithms in Open Computer Vision library can be used for different types of projects. OpenCV plays important role in real time computer vision projects.

Pantech eLearning Chennai is an Online Learning Service provider. We are offering projects on Open Computer Vision. Some of the topics we are offering are Advanced Driver Assistance System, Eyeball Movement Based Wheel Chair Control, Social Distance Monitoring System, Human Action Recognition, and many more. Certifications will also provide after the successful completion of the projects.

Visit our Website and Book your Projects Now.

Some Applications of Open Computer Vision

Some of the common applications are,

Image Processing: It is a technique to perform some operations on an image, in order to get a better quality image or to extract some useful data from it.

Face Detection: A facial recognition system uses biometrics to map facial features from a photograph or video. The system compares the information collected with a database of known faces to find a match.

Object Detection: Object detection is also an Open Computer Vision technique which allows us to identify and locate objects in an image or video.

[pantechlearning]

One of the most interesting topics of AI has been Computer Vision (CV) techniques. For the last few years, it is using in new domains, such as robotics, surveillance, and also in healthcare.

It is a powerful AI technology. It is basically a field of study that has focused on solving the problem of computers’ vision.

Artificial Intelligence and machine learning have many branches. CV is among the most prominent ones. One of the best ways to learn this technology is by completing computer vision projects.

What is Computer Vision?

Computer vision is a field of study which allows computers to understand the visual world humans can see. It’s a subset of AI which collects information from digital images or videos. It then processes them to define their attributes.

The complete process involves acquiring image data, screening, analysing, identifying it and then extracting information. Therefore computers can understand any visual content and work on it accordingly.

How it works?

Humans can identify the objects and the surroundings visible to them. However, it is difficult for computers to identify visuals, images, and objects in the nature.

The main reason for this difficulty is because the interpretation of the human brain and eyes are different from computers. Computers interpret the outputs in binary 0’s or 1’s.

The images are converting in arrays of three dimensions consisting of RGB colours red, blue, and green. They have a range that can compute from values 0 to 255. Thus we can write code using this conventional means of arrays to identify and recognize images.

Computer Vision and Artificial Intelligence

Any Artificial Intelligence system depends on CV if they process visual information. Also when an Artificial Intelligence identifies certain objects and categorizes images based on its content, it is performing image recognition.

Image recognition is also a crucial part of Computer Vision.

AI and CV share topics such as pattern recognition of pattern and learning techniques.

Therefore, CV is sometimes seen as a part of the AI field or the computer science field in general.

Doing projects are the best way to learn a technology

If you are planning to build a career in computer vision then you need to start working on real-time computer vision projects.

Pantech eLearning is a Chennai based Online Learning Service provider. We are offering projects based on Computer Vision. You can do these projects in a very affordable price. You are getting lifetime accessibility when you book the Projects so you can access them any time. Also, we offer online guidance and teaching with top experts to support you with your project.

Visit our Website and Book your Projects Now.

What are the applications?

Computer vision allows self-driving cars to make sense of their environment. CV technique also plays a crucial role in face recognition applications, the technology that allows computers to match images of people’s faces to their identities.

Online photo libraries like Google Photos are also using computer vision to identify objects and automatically categorize the images by the type of content they contain.