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Intelligent Video Processing and Recognition using OpenCV

Name: Intelligent Video Processing and Recognition using OpenCV
Rating: 0 (0 reviews)

Accelerate your Career

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

Buy this Course @

₹1,499

4 Modules

with Certifications

16:00 Hours

of Recorded Content

0 Ratings

by 0 Learners

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Paid Course

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1500 enrolled in this course

Course Specifications

Sections

Lessons

129

Capacity

Unlimited

Duration

16:00 Hours

Students

1620

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

4 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

Intelligent Video Processing and Recognition using OpenCV Course
Overview

This Explorer-level course introduces learners to video processing and intelligent visual recognition techniques using OpenCV. Participants will explore video manipulation concepts, including frame processing and video playback operations. The curriculum focuses on feature extraction and recognition methods such as Scale-Invariant Feature Transform (SIFT), Optical Character Recognition (OCR), barcode detection, and QR code recognition. Learners will also implement image classification models using k-Nearest Neighbors (kNN) and explore creative computer vision applications such as image cartoonification. Through practical exercises and classification projects, participants will gain hands-on experience in developing systems capable of extracting information from images and videos. By the end of the course, learners will understand how computer vision technologies are applied in automation, document analysis, retail systems, and intelligent recognition applications.

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

We are Accredited by

Our Awards & Achievements

Intelligent Video Processing and Recognition using OpenCV Course Roadmap

Module 1

Module 1 — Video Processing Fundamentals

How to play video In reverse mode?

Module 2

Module 2 — Feature Extraction and Recognition

Working with Scalar Invariant Feature Transform(SIFT)

Optical character recognition

Barcode and QR-code recognition

Module 3

Module 3 — Classification and Creative Applications

Image classification using KNN

Cortoonify an image using OpenCV

Module 4

Module 4 — Practical Applications

Image classification using KNN

After this Course, You will be Able to

Grasp FPGA architecture and microcontroller workings for advanced understanding
Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
Master the HDL IDE, enabling proficient coding for real-world applications
Utilize breadboards and electronic components with precision for efficient circuitry
Create groundbreaking solutions by integrating sensors and motors innovatively
Explore diverse projects, from basic LEDs to complex motion-activated systems

Where Our Students Work

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

Learners Reviews

Aditi Sharma

The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.

Rahul

This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.

Priya Nair

I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

Still Having Doubts?

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.