Take advantage of a coupon code for the 'Practical Computer Vision Mastery: 20+ Python & AI Projects' course, created by Muhammad Yaqoob G, available on Udemy.
This course, updated on January 25, 2026 and it is expired on January 25, 2026.
This course provides 15 hour(s) 43 minute(s) of expert-led training in English , designed to boost your Data Science skills.
Highly rated at 4.6-star stars from 79 reviews, it has already helped 1,743 students.
This exclusive coupon is shared by Anonymous, at the price 14.99 $
Don’t miss this opportunity to level up your skills!
You can find the discounted coupon code for this course at the end of this article
Unlock the power of image- and video-based AI in 2026 with 20 real-time projects that guide you from foundational theory to fully functional applications. Designed for engineering and science students, STEM graduates, and professionals switching into AI, this hands-on course equips you with end-to-end computer vision skills to build a standout portfolio.
Key Highlights:
Environment Setup & Basics: Install Python, configure VS Code, and master OpenCV operations—image I/O, color spaces, resizing, thresholding, filters, morphology, bitwise ops, and histogram equalization.
Core & Advanced Techniques: Implement edge detection (Sobel, Canny), contour/corner/keypoint detection, texture analysis, optical flow, object tracking, segmentation, and OCR with Tesseract.
Deep Learning Integration: Train and deploy TensorFlow/Keras models (EfficientNet-B0) alongside YOLOv7-tiny and YOLOv8 for robust detection tasks.
GUI Development: Build interactive Tkinter interfaces to visualize live video feeds, detection results, and system dashboards.
20 Hands-On Projects Include:
Smart Face Attendance with face enrollment, embedding extraction, model training, and GUI integration.
Driver Drowsiness Detection using EAR/MAR algorithms and real-time alert dashboards.
YOLO Object & Weapon Detection pipelines for live inference and visualization.
People Counting & Entry/Exit Tracking with configurable line-coordinate logic.
License-Plate & Traffic Sign Recognition leveraging Roboflow annotations and custom model training.
Intrusion & PPE Detection for workplace safety monitoring.
Accident & Fall Detection with MQTT alert systems.
Mask, Emotion, Age/Gender & Hand-Gesture Recognition using custom-trained vision models.
Wildlife Identification with EfficientNet-based classification in live streams.
Vehicle Speed Tracking using calibration and object motion analysis.
By course end, you’ll be able to:
Develop, train, and fine-tune deep-learning vision models for diverse real-world tasks.
Integrate CV pipelines into intuitive GUIs for live video applications.
Execute industry-standard workflows: data annotation, training, evaluation, and deployment.
Showcase a portfolio of 20 complete projects to launch or advance your AI career.
Enroll today and start building your first real-time computer vision app!