Menu

Workshops

Projects

Blogs

Careers

Hire from us


For Business / Universities

Corporate Training

Academic Up-skilling


All Courses

Choose a category

Loading...

All Courses / undefined

All Courses / undefined / undefined

logo

Loading...

FOR BUSINESSES

Corporate Upskilling

FOR Universities

Academic Training

More

Applying CV for Autonomous Vehicles using Python in Chennai

This 3 month program from Skill-Lync teaches the student everything there is to know about computer vision. MATLAB will be used as a tool.

12 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MATLAB, Python, TensorFlow, OpenCV, Keras TensorFlow 2

Watch Demo

Book a Free Demo Session

Enter your phone number and book a FREE Demo session on your favourite courses now!
Please enter a valid email
Please enter a valid number

Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • The program is designed to provide an introductory /Intermediate level explanation of the various concepts in Computer Vision
  • The course is essentially for a sequential approach towards learning computer vision.
  • The course covers the basics of computer vision, understanding the perception of an image/Image sequence (video), working of a camera and applications of computer vision in Industry.
  • The course provides hands-on experience with coding challenges and projects that are relevant in the autonomous vehicle industry.
  • This course is designed to provide an overview and a platform for students to learn the concepts of computer vision and work on collaborative projects.

Course Syllabus in Chennai

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week - 01 Introduction to Computer Vision

  • In this session, we will learn about
    • Introduction to Autonomous Vehicles
    • Introduction to Computer Vision
    • Applications of Computer Vision
    • Course Content - Introduction 
    • Understanding Images 

Week - 02 Image Processing Techniques – I

  • In this session, we will learn about
    • Image Filters 
    • Correlation 
    • Convolution
    • Noise in Images
    • Types of Noise
    • Filters for Noise
    • Image Gradients 
    • Edge Detection Techniques

Week - 03 Image Processing using Edge and Line Detection

  • In this session, we will learn about:
    • Canny Edge Detector 
    • Hough Transformation - Lines
    • Hough Transformation - Circles 
    • Domain Transformation 
    • Understanding Frequency Domain 
    • Spatial to Frequency Domain transformations

Week - 04 Projective and Stereo Geometry

  • In this session, we will learn about
    • Image coordinate systems 
    • Projective Geometry
    • Perspective Projections
    • Multiview Geometry 
    • Stereography and Depth Imaging 
    • Stereo Correspondence

Week - 05 3D Computer Vision

  • In this session, we will learn about:
    • Projective Geometry for 3D
    • Camera calibration methods 
    • Epipolar Geometry
    • Stereovision

Week - 06 Feature Extraction , Neural Networks and Image Classification

  • In this session, we will learn about:
    • Image Classification
    • Dimensionality Reduction
    • Principal Component Analysis
    • Convolutional Neural Networks 
    • Datasets
    • Mobile Net Architecture
    • Image Classification - Performance Metrics

Week - 07 Feature Detectors and Descriptors

  • In this session, we will learn about:
    • Feature Detectors
      • Moravec’s Detector
      • Harris Corner Detector
    • Feature Descriptors
      • SIFT 
      • ORB
    • Feature matching methods

Week - 08 Optical Flow

  • In this session, we will learn about:
    • Optical Flow
    • Horn-Shunck method
    • Lucas Kanade sparse optical flow 
    • Gunnar-Farneback Optical flow 
    • Deep learning based optical flow models 

Week - 09 Object Tracking

  • In this session, we will learn about:
    • Introduction to Object Tracking 
    • Deep SORT
    • Lucas-Kanade-Tomasi(KLT) Tracker 
    • Minimum Of Sum Squared Error (MOSSE) Tracker
    • Mean Shift Tracker  

Week - 10 Image Segmentation

  • In this session, we will learn about:
    • Introduction to Image Segmentation
    • Methods of Segmentation
    • Applications of Segmentation
    • Thresholding based segmentation
    • Otsu’s Thresholding
    • Morphological Operations
    • Connected Components
    • Datasets for image segmentation
    • Deep learning architectures for image segmentation

Week - 11 Object Detection

  • In this session, we will learn about:
    • Introduction to Object Detection
    • Region Proposals
    • Graph cut segmentation
    • Selective search
    • Object Detection Datasets
    • Object Detection Models
    • Tensorflow model zoo
    • Evaluation metrics for object detection models 

Week - 12 3D Object Detection

  • In this session, we will learn about:
    • Introduction to 3D Object Detection
    • Types of 3D Object Detection
    • Stereo Image based Detection
    • Monocular 3D Object Detection

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Chennai

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Implementation of an image classification model using MobileNet architecture

Image Classification is a very important task in deep learning employed in vast areas and has a very high usability and scope. Student will have to understand and implement an image classification model using MobileNet architecture. Also, students should classify the same image with the provided custom dataset

2D Object Detection with tensorFlow

The TensorFlow Object Detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models. Student will have to perform 2D Object detection with tensorFlow object detection API. Student will have to submit report on the performance of the model

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Make Vehicles to Think and Observe by Applying CV for Autonomous Vehicles Using Python Course in Chennai

The Applying CV for Autonomous Vehicles using Python course in Chennai is a 3-month program that focuses on introductory-to-advanced level computer vision concepts and their application in the autonomous vehicle space. It's an industry-experts-led Python online course designed to help students learn Python online and grasp the fundamentals. Industrial applications of computer vision include image perception/image sequence. This Python online course certification will help you to crack interviews and learn cutting-edge technologies.

The program curriculum consists of a twelve-week industry-oriented study plan covering crucial computer vision concepts and tools, including Image Processing techniques, Projective and Stereo Geometry, 3D Computer Vision, Feature Extraction, Neural Networks, Image classification & segmentation, Object Tracking & Detection, and other vital topics. It also includes two comprehensive projects on implementing an image classification model and 2D object detection to help deliver hands-on python training in Chennai. 

Skill-Lync is one of the best Python training institutes in Chennai, owing to its industry-centric approach. This approach places this program among the top python courses in Chennai. 

FAQs 

1. Why should you go for the Skill-Lync Applying CV for Autonomous Vehicles using Python course in Chennai?

With the current boom in the new-age, autonomous vehicle technology space, this course presents one of the best ways to learn Python online in an efficient manner and establish yourself on the right career trajectory for in-demand job roles in computer vision, AI/ML, automotive technology, and other affiliated domains.

2. What are the prerequisites for taking the Applying CV for Autonomous Vehicles using Python course in Chennai?

There are no prerequisites for this course. This is one of the best online python courses that is open to all students, professionals, and anyone interested in pursuing a career in the fast-paced autonomous tech industry.

3. What is the program fee for the Skill-Lync's Applying CV for Autonomous Vehicles using Python course in Chennai?

Depending on the candidates' requirements, they can choose two months of access with the Basic plan (at INR 7000 per month for 3 months), 4 months of access with the Pro plan (at INR 10,000 per month for 3 months), and lifetime access with the Premium plan (at INR 15,000 per month for 3 months).

4. What are the benefits of pursuing the Skill-Lync Applying CV for Autonomous Vehicles using Python course in Chennai?

This course is one of the best python courses in Chennai that will provide you with hands-on training on the fundamental-to-advanced level computer vision concepts and application techniques like Image processing, Python scripting, Driving Scenario Design, etc. Moreover, you will learn and master pivotal tools, including MATLAB, Python, TensorFlow, OpenCV, and Keras TensorFlow 2.

5. What are the career prospects after completing the Skill-Lync Applying CV for Autonomous Vehicles using Python course in Chennai?

After successful completion of this Python course in Chennai with placement, you get upskilled to apply to several in-demand job positions, including-

  • Computer Vision Engineer (Mapping - Autonomous Vehicles)
  • Autonomous Vehicles Test Engineer
  • AI Computer Vision Developer
  • Automation and Control Engineer
  • Autonomous Vehicles Motion Planning Engineer

6. What is the expected salary range after completing the Skill-Lync's Applying CV for Autonomous Vehicles using Python course in Chennai?

The expected salary for a Computer Vision engineer ranges from ₹3.74 Lakhs to ₹17.24 Lakhs, with an average annual salary of ₹6.95 Lakhs. However, your salary may vary depending on your expertise.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

image

1 industry expert

Our instructors are industry experts along with a passion to teach.

image

5 years in the experience range

Instructors with 5 years extensive industry experience.

image

Areas of expertise

  • Autonomous Vehicle Controls

Similar Courses

Got more questions?

Talk to our Team Directly

Please fill in your number & an expert from our team will call you shortly.

Please enter a valid email
Please enter a valid number
Try our top engineering courses, projects & workshops today!Book a FREE Demo