OpenCV – Use in AI

Mastering Image Processing and Computer Vision with AI

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Online/ e-LMS
Mentor Based
8 weeks


This course offers an in-depth exploration of OpenCV, focusing on its powerful capabilities in handling and manipulating visual data using AI. Participants will learn to implement AI-driven solutions to solve complex visual recognition tasks, enhancing automation and innovation in various industries.


To enable learners to apply OpenCV for enhancing real-world applications through artificial intelligence in image and video processing.

Program Objectives

  • Develop a robust understanding of OpenCV functionalities and its application in AI.
  • Master advanced image and video analysis techniques.
  • Implement practical AI solutions integrating OpenCV for industry-specific problems.

Program Structure

  • Introduction to OpenCV: Understanding the basics, installation, and setup.
  • Image Manipulation and Processing: Techniques for color transformations, thresholding, and advanced image manipulation.
  • Feature Detection and Description: Methods for identifying and matching features in images for detailed analysis.
  • Video Analysis: Techniques for video data manipulation, motion detection, and object tracking.
  • Applications of OpenCV in AI: Implementing real-time face recognition and augmented reality, integrating with AI frameworks like TensorFlow and PyTorch.
  • Project and Implementation: Designing and executing a complete AI project using OpenCV, from concept to deployment.

Participant’s Eligibility

  • Students and professionals in computer science, engineering, and related fields keen on mastering AI-driven image and video analysis.
  • IT professionals looking to enhance their skills in computer vision and artificial intelligence.

Program Outcomes

  • Proficiency in using OpenCV for artificial intelligence applications.
  • Enhanced skills in designing and implementing robust AI-driven visual recognition systems.
  • Capability to innovate and improve industry-standard practices using AI and computer vision.

Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650





Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Industry Networking: Connect with industry experts and organizations utilizing AI in visual technologies.
  • Career Development: Guidance on advancing careers in AI and computer vision.

Future Career Prospects

  • Computer Vision Engineer
  • AI Application Developer
  • Robotic Process Automation Specialist

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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