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Introduction to Camera Systems Using C++

This program deals with detailed studies about cameras and the camera systems being used in the ADAS/Autonomous driving vehicles in the current times. In this course, we study the camera and how it is constructed and understand different parts of the camera and their effect on an image. We also deal with Image formation, different types of camera models along with the processing of the same images with an introduction to basic Image processing techniques and algorithms.

8 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.

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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 students will learn about camera systems used in ADAS/Autonomous Driving Vehicles in the industry.
  • During the coursework, the students will learn the following concepts:
    • Camera Study
    • Construction of Cameras
    • Projective Geometry and Stereo Vision
    • Image Processing
  • During the coursework, the students will learn about camera calibration, image processing techniques like filtering, smoothening, and gradient-based techniques.
  • The students are exposed to the modern trends and standard practices being followed in the industry right now.
  • This course forms the foundation for anyone wanting to pursue a career in the domain.

Course Syllabus

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

week 1 - Camera Construction

The following modules are discussed:

  • Introduction to Geometrical Construction
  • Introduction to Optical Construction 
  • Introduction to Camera Types
  • Camera Sensor Types – CCD, CMOS 
  • Camera Sensor Types – RGGB, RCCB, RCCC
  • Different Lens Types – Normal vs Fisheye
  • Optical Parameters – Exposure Time, Shutter, White Balance, Gain

week 2 - Camera Models

The following modules are discussed this week :

  • Different Camera Models
  • Pin hole model, Perspective model, fisheye model
  • Lens Distortion – Barrel /Radial, Pin Cushion
  • Depth Of Field , Field of View 
  • Effects on changing aperture

week 3 - Camera Calibration

The following modules are discussed this week :

  • Camera Calibration
  • Introduction to Camera Parameters
  • Calibration Techniques 
  • Calibration for Intrinsic vs Extrinsic 
  • Image Undistortion

week 4 - Projective Geometry

The following modules are discussed this week :

  • Introduction to Projective Geometry
  • What is Lost / Preserved ?
  • Vanishing Lines & Points
  • Dimensionality Reduction
  • World to Image Projection
  • Orthographic Projection

week 5 - Stereo Vision

The following modules are discussed this week :

  • Introduction To Stereo Vision
  • Basic Idea of Stereo
  • Epipolar Geometry
  • Image rectification
  • Stereo Correspondence
  • Disparity Maps
  • Depth Maps

week 6 -Camera Systems

The following modules are discussed this week :

  • Low FOV Long range cameras
  • Stereo Camera 
  • FLIR  Camera
  • Fisheye Camera – Continental
  • Camera Parameters
  • Different Uses for each of them

week 7 - Image Pre-Processing

The following modules are discussed this week :

  • Image Color Spaces
  • Color Space conversions (RAW -> RGB, RGB-> GRAYSCALE, RGB->YUV , …)
  • Image Digitization, Sampling, Quantization
  • Image Interpolation, Extrapolation
  • Image Normalization
  • Image Noise – Salt and Pepper noise, Gaussian Noise , Impulse Noise
  • Image Erosion/Dilution

week 8 - Image Processing -1 (Transformations)

The following modules are discussed this week :

  • Basic Transformations and Filtering
  • Domain Transformations
  • Noise Reduction
  • Filtering as Cross Correlation
  • Convolution

week 9 - Image Processing -2

The following modules are discussed this week :

  • Basic Image Filtering and Detection techniques
  • Corners Detection
  • Edge Detection
  • Contour Detection
  • Image Thresholding Histogram
  • Histogram Equalization

week 10 - Image Processing -3

The following modules are discussed this week :

  • Features and Image Matching
  • Image Features, Invariant Features (Geometrical, Photometric Invariance) 
  • Image Descriptors
  • HOG
  • SIFT  
  • SURF 
  • Image Stitching

 

week 11 - Image Processing - 4

The following modules are discussed this week :

  • Introduction to Structure from Motion (SFM)
  • Epipolar Constraint and Essential Matrix
  • 3d Reconstruction 
  • Bundle Adjustment
  • SVD approach to SFM
  • SLAM example

week 12- Introduction to Embedded Systems

The following modules are discussed this week :

  • Camera Interfaces. Ex : GMSL, LVDS
  • Communication Protocol – I2C 
  • Camera Initialization Sequence 
  • Automated Exposure Gain (AEG) Control 
  • Vision Processing Units (VPU) 
  • Graphic Processing units

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

Industry Projects

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.

Immersion of practical knowledge of camera system concepts on datasets in detail

Stream a video from your laptop and perform the following functions

Implementation of basic SLAM algorithm

Using OpenCV and public datasets,  implement the basic SLAM algorithm and display the results

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

Enhance the features of Autonomous Driving Vehicles with our Introduction to Camera Systems Using C++ course.

This Introduction to Camera Systems Using C++ course teaches you about camera systems used in Advanced Driver Assistant Systems (ADAS). Cameras are essential for ADAS/Autonomous Driving Vehicles to assist drivers in providing a complete view around the car. So that drivers could drive cars in a much safer way.

Any best camera system online course would teach you C++ since it is efficient for image processing and analysis. This C++ programming course covers camera models, camera calibration, projective geometry, stereo vision and image processing. ks. The fee structure is flexible, and it ranges from INR 7,000 to INR 15, The duration of this course is 8 weeks.000.

Who Should Take This Course?

Industry experts designed our Introduction to Camera Systems Using C++ course for engineering students and graduates interested in automation systems. Since this course teaches C++ B.E and B.Tech. Engineers from Computer Science and Information Technology can make the best out of it. You can take this course if you are interested in cameras and sensors, as this course is specialised in building camera systems for ADAS/Autonomous Driving Vehicles. If your area of interest lies in embedded systems, you can also opt for this course because camera systems are built using embedded systems.

If you want to become a camera application engineer, then you can take this course. This best C++ course will help you gain industry-relevant skills and will open up several career opportunities.

What Will You Learn in This Course?

From this 8-week course, you will learn all basic to advanced level concepts involved in developing an ADAS camera system. You will understand what is C++ programming and how it is applied in image processing. Initially, you will be introduced to camera construction, where you will learn about different types of sensors, lenses and exposure parameters. Then you will learn about camera calibration, which is vital to determining the parameters of an image sensor. 

You will learn stereo vision techniques and disparity maps, and depth maps. As you progress, you will learn about image pre-processing and image processing, which is a method used in digital cameras to extract images. You will also have hands-on experience in industry projects like the Implementation of basic SLAM algorithms. By the last week, you will be introduced to some basics of embedded systems needed for camera interfaces. You can learn C++ online course with a certificate which you can display in your portfolio.

Skills You Will Gain

  • You will gain expertise in developing ADAS camera systems.
  • By working on real-time projects, you will become industry-ready.
  • You will learn online C++ programming, which is a widely-used programming language.

Key Highlights of the Program

  • The duration of the course is eight weeks.
  • Besides the course completion certificate for all participants, the top 5% of learners get a merit certificate.
  • You will get Individual Video Support, Group Video Support, Email Support, and Forum Support to clear your queries and doubts.
  • Real-time industry-relevant projects will make your learning purposeful.

Career Opportunities after Taking This Course

Taking this course would open up a plethora of career opportunities for you. Pursuing the best C++ course would give an edge over your peers. Some positions that you can work for include,

  • ADAS 360 degrees camera Application Engineer: The ADAS camera application engineer is responsible for the development of radar, sensor and camera systems for driver assistant vehicles.

 

  • Automotive ADAS Software Engineer: The ADAS Software Engineer’s prime duty is to debug the complex embedded system codes written in C++ programing language.

 

FAQs on Introduction to Camera Systems Using C++

  1. Who can take up C++ programming courses?

Students and graduates with a technical background in Computer Science and Information Technology can take up this course.

  1. Is this the best C++ course or an online course?

Yes, this is a 100% online course.

  1. What is C++ programming?

C++ is a widely-used programming language. It is used in developing OS, GUI and embedded systems.

  1. What is the fee for this C++ online course with a certificate?

The fee structure is flexible, and you can choose a plan that suits you. The basic plan would give you two months of access, the pro plan would give you four months of access, and the premium plan would provide you with lifetime access.

  1. How much can an ADAS Application Engineer earn?

According to Glassdoor, the national average salary of an ADAS Engineer is INR 8.7LPA, however, it also depends on the experience.

  1. Is there any certificate for learning online C++ programming?

Yes, After completing this C++ programming course for camera systems, you shall be given a course completion certificate. The top 5% of the scorers will be given a merit certificate alongside the course completion certificate.

  1. Is there any technical support available for this best camera system online course?

Yes, you can clear your queries with email and forum support.

Instructors profiles

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

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1 industry expert

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

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5 years in the experience range

Instructors with 5 years extensive industry experience.

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Areas of expertise

  • Autonomous Vehicle Controls

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