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Advanced Computer Vision Applications using OpenCV

Name: Advanced Computer Vision Applications using OpenCV
Rating: 0 (0 reviews)

Accelerate your Career

Learn advanced computer vision applications using OpenCV. Master image processing, object detection, and AI-powered vision systems in 90 days.

Buy this Course @

₹799

4 Modules

with Certifications

4:30 Hours

of Recorded Content

0 Ratings

by 0 Learners

English

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Paid Course

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Email ID

Phone Number

1500 enrolled in this course

Course Specifications

Sections

Lessons

128

Capacity

Unlimited

Duration

4:30 Hours

Students

1300

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

3 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

Advanced Computer Vision Applications using OpenCV Course
Overview

This Specialist-level course focuses on advanced computer vision applications that combine image processing, recognition systems, and intelligent automation. Learners will develop face analytics solutions including face counting systems, age estimation, and gender detection using computer vision techniques. The curriculum further explores gesture recognition systems for human-computer interaction and image classification using machine learning algorithms such as k-Nearest Neighbors (kNN). Participants will also work on advanced problem-solving applications, including Sudoku puzzle solving through image processing and pattern recognition methods. Practical assignments reinforce real-world implementation skills through face detection and visual analytics projects. By the end of the course, learners will possess the expertise required to develop advanced computer vision solutions for security, surveillance, automation, smart systems, and AI-powered visual intelligence 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

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 advanced computer vision applications using OpenCV, including image processing, object detection, image segmentation, facial recognition, and AI‑powered vision systems. You’ll also explore integration with deep learning frameworks for real‑world projects.

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 Advanced Computer Vision Applications using OpenCV course is available for ₹799, inclusive of all modules and certification.

7. Is there any project work included?

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

8. Can I access the course materials anytime?

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