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Understand computer vision and learn about its various applications across many industries. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more.
COMPUTER VISION USING PYTHON
89259 06892
Duration | 15 Hours
ELIGIBILITY:
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Engineering graduates (From 2nd Year onwards ECE, EEE, CSE, IT streams)
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Basics of Python Programming
CERTIFICATION CRITERIA:
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Attendance – 90% Min
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Assignment completion – 100%
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Posttest assessment score – 70% Min
HIGHLIGHTS
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Object detection, Tracking and Motion Analysis
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Neural and conventional Neural networks
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Build Simple image classifiers in Python
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Identifying human faces in digital images
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Changing or merging through a smooth transition different pictures to create a new one
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Assignments based on the real time Application
CONTENTS
Introduction
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Introduction to Computer Vision
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Applications of Computer Vision
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Recent Research in computer Vision
Image processing with openCV
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What is A Digital Image?
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Manipulating Images
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Pixel Transformation
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Geometric Operation
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Spatial operations in Image Processing
Machine Learning Classification
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Image Classification with KNN
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SoftMax and Multi-Class Classification
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Image Features
Object Detection
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Introduction to Object Detection
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Haar Cascade classifier
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CNN Architecture
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R-CNN and Mobile Net
Project Case
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Real-Time Face Mask Detection Model
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Smart Attendance System
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Social Distancing System
OUTCOMES
By The End Of Course The Learner Will:
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Understand the components of an electric motor drive.
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Understand various types of motor loads in motor drives.
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Understand the operation of adjustable speed motor drives.
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Be able to select a suitable drive for a particular application