Computer Vision with OpenCV Training in San Francisco

Computer Vision with OpenCV Training in San Francisco, USA

Develop skills in image processing and analysis using the OpenCV library for various applications.

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Computer Vision with OpenCV Training is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Computer Vision with OpenCV Training course with hands-on, instructor-led sessions. The Computer Vision with OpenCV training provides participants with a comprehensive understanding of computer vision concepts and their...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: PRQ27
21 Hrs
Last Updated: April 2026

Course Rating5/5

The Computer Vision with OpenCV training provides participants with a comprehensive understanding of computer vision concepts and their implementation using the OpenCV library. The course covers image processing, feature detection, object recognition, and video analysis techniques. Through hands-on exercises, participants will gain practical experience in building computer vision applications for tasks such as face detection, object tracking, and real-time image processing, enabling them to create innovative solutions in domains like robotics, healthcare, and automation.

Welcome to the official Computer Vision with OpenCV Training certification program in San Francisco, USA. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of Python programming
Familiarity with basic linear algebra and image processing concepts
Knowledge of NumPy and basic Python libraries

Upon completing the Computer Vision with OpenCV course, participants will:

Gain an understanding of core computer vision concepts and techniques.
Learn how to process and analyze images and videos using OpenCV.
Develop skills to implement advanced computer vision tasks like object detection and recognition.
Build end-to-end computer vision applications for real-world use cases.

Image Processing Fundamentals: Ability to perform basic image transformations like filtering, resizing, and thresholding.
Feature Detection and Description: Skills to identify and extract key features from images for analysis and matching.
Video Analysis: Proficiency in analyzing real-time video streams and implementing motion detection.
Object Detection and Recognition: Ability to develop applications for object identification and tracking.
Advanced Applications: Knowledge to integrate OpenCV with AI/ML models for complex vision tasks.

Participants will be assessed on:

Image Processing: Understanding of basic image manipulation techniques.
Feature Extraction: Proficiency in identifying and analyzing key image features.
Video Analysis: Ability to perform real-time video processing.
Object Recognition: Skills in implementing detection and recognition pipelines.
Application Development: Capability to build and deploy computer vision solutions.

Certificate of Completion: Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion for the Computer Vision with OpenCV Training Program.

Introduction to Computer Vision and Basic Image Processing

Introduction to Computer Vision and OpenCV

Overview of computer vision and its applications
Introduction to OpenCV and installation
Understanding OpenCV’s ecosystem and key libraries
Practical exercise: Setting up OpenCV and running the first program

Basic Image Processing Techniques

Reading, displaying, and saving images
Color spaces and image transformations
Image filtering, resizing, and cropping
Practical exercise: Applying transformations on sample images

Thresholding and Edge Detection

Thresholding techniques: Binary, adaptive, and Otsu’s method
Edge detection using Sobel and Canny methods
Practical exercise

Feature Detection, Image Matching, and Video Processing

Feature Detection and Description

Keypoint detection with Harris, SIFT, and ORB
Feature matching using Brute Force and FLANN-based matchers
Practical exercise

Geometric Transformations and Warping

Image transformations: Rotation, scaling, and perspective warping
Affine and homography transformations
Practical exercise

Video Analysis with OpenCV

Reading and processing video streams
Background subtraction and motion detection
Object tracking with centroid tracking and bounding boxes
Practical exercise

Advanced Computer Vision Applications

Object Detection and Recognition

Introduction to Haar cascades and deep learning-based detection
YOLO (You Only Look Once) and SSD (Single Shot Detector) concepts
Practical exercise

Image Segmentation

Segmentation techniques: Watershed and GrabCut
Contour detection and analysis
Practical exercise

Integrating OpenCV with AI/ML Models

Using pre-trained models for classification and recognition tasks
Deploying OpenCV applications with TensorFlow or PyTorch models
Practical exercise

Comprehensive course slides and reference guides
Access to datasets and pre-trained models for hands-on exercises
Source code examples and project templates

Participants will be evaluated through practical exercises, project-based assignments, and a final assessment.
ProgNXT Certificates of completion will be awarded to participants who successfully complete the course assessments.

Computer Vision with OpenCV Training Events in san-francisco

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

19th Oct 2026→21st Oct 2026

📍 San Francisco, USA

24th Oct 2026→26th Oct 2026

November 2026

🌐 Online Instructor-Led

3rd Nov 2026→5th Nov 2026

📍 San Francisco, USA

4th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

24th Nov 2026→26th Nov 2026

📍 San Francisco, USA

25th Nov 2026→27th Nov 2026

December 2026

📍 San Francisco, USA

1st Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

12th Dec 2026→14th Dec 2026

🌐 Online Instructor-Led

25th Dec 2026→27th Dec 2026

📍 San Francisco, USA

26th Dec 2026→28th Dec 2026

Events for other courses in San Francisco, USA

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Computer Vision with OpenCV Training in San Francisco