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Video Processing using Computer Vision

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Learn intelligent video processing and recognition using OpenCV. Master motion detection, face recognition, and AI-powered video analytics in 90 days.

4 Modules
with Certifications
4:18 Hours
of Recorded Content
5.0 Ratings
by 1620 Learners
English
Language
Paid Course
Get this Course @ ₹799
1620 enrolled in this course

Video Processing using Computer Vision

Video Processing using Computer Vision is an Explorer-level course designed to introduce learners to modern video analytics and intelligent image processing techniques using OpenCV. The course covers video manipulation, feature extraction, optical character recognition, barcode and QR code recognition, image classification, and creative image transformation techniques. Through practical implementations and industry-oriented exercises, learners develop the skills required to build AI-powered video processing solutions applicable in automation, surveillance, document analysis, retail systems, and smart vision applications.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 — Video Processing and Motion Analysis

Reverse Video Playback and Frame Manipulation Techniques

M2

Module 2 — Feature Extraction and Recognition Systems

Feature Detection using Scale-Invariant Feature Transform (SIFT)
Optical Character Recognition using Computer Vision Techniques
Barcode and QR Code Recognition Systems

M3

Module 3 — Classification and Creative Vision Applications

Image Classification using K-Nearest Neighbors (KNN)
Image Cartoonification using OpenCV Filters and Effects

M4

Module 4 — Applied Video Analytics Projects

Image Classification Project using Computer Vision Techniques

Capstone Project

Intelligent Video Recognition Suite

Build practical computer vision applications capable of analyzing video streams, extracting features, recognizing text and objects, and implementing intelligent recognition systems using OpenCV.

A functional Video Playback and Processing Engine supporting reverse play and frame-by-frame processing.
PROJECT

A functional Video Playback and Processing Engine supporting reverse play and frame-by-frame processing.

Access hands-on simulation modules to master production level engineering challenges.

An OCR and QR Code Recognition System optimized for automated scanning and document processing.
PROJECT

An OCR and QR Code Recognition System optimized for automated scanning and document processing.

Access hands-on simulation modules to master production level engineering challenges.

A Feature Detection pipeline using the SIFT algorithm to recognize specific objects across shifting backgrounds.
PROJECT

A Feature Detection pipeline using the SIFT algorithm to recognize specific objects across shifting backgrounds.

Access hands-on simulation modules to master production level engineering challenges.

An Image Classification Application utilizing K-Nearest Neighbors (KNN) for categorical item sorting.
PROJECT

An Image Classification Application utilizing K-Nearest Neighbors (KNN) for categorical item sorting.

Access hands-on simulation modules to master production level engineering challenges.

A Creative Image Transformation Tool applying edge preservation and styling to cartoonify input visual media.
PROJECT

A Creative Image Transformation Tool applying edge preservation and styling to cartoonify input visual media.

Access hands-on simulation modules to master production level engineering challenges.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

OpenCV
Python
SIFT (Scale Invariant Feature Transform)
OCR Libraries
K-Nearest Neighbors (KNN)
Barcode & QR Code Detection Libraries
NumPy
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Implement high-performance video processing pipelines using OpenCV.
Build robust feature extraction systems using SIFT algorithms to recognize custom objects.
Develop scalable Optical Character Recognition (OCR) systems for real-time document digitization.
Create high-accuracy barcode and QR code recognition solutions for automated checkout and logistics.
Design and deploy responsive image classification frameworks using KNN algorithms.
Build creative and artistic visual application filters, including localized image cartoonification.
Apply state-of-the-art computer vision models to solve actual enterprise and industrial automation challenges.

Course Stats

₹12.35 LPA

Average Salary

₹42 LPA

Highest Salary

135%

Salary Hike

7+ Companies

Hiring Partners

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
Award 1
VERIFIED STUDENT REVIEWS

What Our Students Say

See how Pantech courses accelerated career transitions across India.

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VERIFIED LEARNER

Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.

Need immediate counseling?

+91 8925533488/89

HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

1. Do I need prior experience?

No prior experience is required for foundational courses. Advanced modules may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / +91 89255 334 89.

3. What will I learn in this course?

You’ll cover intelligent video processing and recognition using OpenCV, including motion detection, face recognition, video tracking, and AI‑powered video analytics. You’ll also explore integrating deep learning models for advanced recognition tasks.

4. How long is the course?

The program includes 4 structured modules, designed to be completed within 90 days with guided project work.

5. Will I get a certificate?

Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.

6. What is the course fee?

The Intelligent Video Processing and Recognition using OpenCV course is available for ₹1,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in a guided video analytics project, implementing motion detection, recognition, and AI‑powered video pipelines.

8. Can I access the course materials anytime?

Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.

9.Which tools are used throughout the course?

The course primarily uses Python, OpenCV, SIFT-based feature extraction techniques, OCR libraries, KNN algorithms, and supporting computer vision frameworks.

10.Are there portfolio-worthy projects?

Yes. Learners build multiple practical applications including OCR systems, feature recognition solutions, intelligent image classifiers, and creative image transformation projects that can be showcased in professional portfolios.

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