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COMPUTER VISION TRAINING IN VIJAYAWADA

Computer Vision 1

Duration

8 Weeks 10 Hours/Week
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Pre-requisites

  • Thorough knowledge of data structures as you require coding to build the representations of the images, geometric construction, and features.
  • Good knowledge of Python is essential
  • Some knowledge about vector calculus, linear algebra, linear algebra

Projects

2 or more real time applications.  

OVERVIEW

Computer Vision Course

Computer Vision is a popular interdisciplinary approach in the field of Artificial intelligence and Computer Science. It depicts the transition from a still image or video of cameras into an accurate representation. It is similar to the vision of humans, computer vision technology also visualizes, recognizes and processes the images. The computer vision incorporates three main components.

They are:

  • Acquisition of image: This is the first stage of the computer vision. After an image is acquired, the different kinds of processing tasks are applied to complete the vision tasks.
  • Processing of image: This is the procedure of converting the image into a digital form and applying certain operations to the image to get enhanced output.
  • Image analysis: This process involves the extraction of the meaningful details from an image through the process of digital image processing which called image analysing.

Computer Vision is one of the most buzzing fields today which has found a large application in the industry. To specialize as a computer vision expert, computer vision training is essential to master the concepts of this new technology. The computer vision training provides a thorough introduction to the concept of computer vision which includes the fundamentals concept of formation of images, the camera imaging geometrics, motions, detection of features, and classification of images. The computer vision training also focuses on advanced concepts like stabilization of images, camera calibration, models in image, depth recovery, automated alignment, and action recognition.

Computer vision in Vijayawada has gained immense popularity among the youth who want to make it a profession and build a successful career. The computer vision in Vijayawada is a popular course and is in the spotlight. Interestingly, more complex cameras are being integrated into the devices today like smartphones having color images with depth, wide angles cameras, birdseye, etc. which are pushing the development of the complex computer vision system leading to an increased need for computer vision training. The computer vision in Vijayawada focuses on state-of-art deep learning concepts for computer vision and image processing training.

There are various techniques used in the field of computer vision and image processing. The image processing training focuses on dealing with basic image processing as well as extraction of the three-dimensional images. Image processing training is essential to be a successful professional as per industry standards. 

Scope of Computer Vision Course and Image Processing

Computer vision and image processing are indeed among the most in-demand jobs today. It is perched at the no.3 position for the most trending jobs in the global list, with a rapid flow of the investment in the AI technologies at the startup level as well as by the leading technology companies, there is a wide scope for a career in computer vision.

 The image processing and Computer Vision is indeed a fascinating field which most companies have adopted. There has been a dramatic increase in the images and video data due to the proliferation of digital capturing devices and the multimedia of the internet. Hence, the field of image processing and computer vision has emerged as one of the most promising fields due to the huge influx of video data and images. The students have abundant opportunities to pursue internships and job posts as experts in image processing and computer vision today after successfully mastering computer vision and image processing training. They have bright career opportunities awaiting them in top companies as well as in research labs.

CURRICULUM

Course Syllabus

The Computer vision and Image processing training follows the following syllabus generally covering all aspects of computer vision and image processing. After mastering these concepts, you can excel in this technological field and attain a successful career.

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Computer Vision

  • Digital formation of an image
  • Estimation of debt and multi-camera views
  • Extraction of features of an image
  • Segmentation of the images
  • Analysis of picture patterns
  • Motion analysis
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Image Processing

  • Representation of the image
  • Image Color concepts
  • Point operators
  • Geometric operations
  • Local operations which include Linear operations and morphological operations.
  • Local image structures. These include histogram if the gradient, Gaussian derivates, 2D Taylor series, and geometrical invariant
  • Scaling space- This includes linear and extreme in scale space
  • Image stitch applications- This includes RANSAC and SIFT
  • The motions concept – Normalized cross-correlation and optic flow
  • Pinhole camera – Pinhole cameras calibration and projective geometry
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TESTIMONIALS

CodeGnan in Students words,

Computer Vision 2

Suhaas

Learning Java

I’ve tried other training institutes and all I did is quit in the middle. I got nurtured with the basics, they took really good care and even arranged extra classes on personal requests. I get to work in the Real-Time environments and I have successfully deployed 3 projects in Real-Time while I’m still in the middle of the training. The best part is I never thought of quitting.

Computer Vision 3

Eswar

Learning Python

I fell in love with the pattern of teaching here. We get to start with hello world all the time but here, nothing is classic and since while training I was working on Real-Time servers, I was a ready to go engineer on the way out of here. They took personal care of me, I got mentors who are happy to answer my calls and finally they gave me a map of what more I can learn by myself and other technologies that I can adapt with my current skillset.

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