Here鈥檚 the concise, SEO-friendly list of factual course details in Markdown format:
Course Overview
- Course Title: Practical Computer Vision Mastery: 20+ Python & AI Projects
- Instructor: Muhammad Yaqoob G
- Target Audience:
- Engineering and science students
- STEM graduates
- Professionals transitioning into AI
- Developers seeking hands-on computer vision skills
- Prerequisites:
- Basic Python programming knowledge
- Windows PC or laptop with 4GB+ RAM (GPU optional but helpful)
Curriculum Highlights
-
Key Topics Covered:
- AI and computer vision fundamentals
- Python and VS Code setup for vision projects
- OpenCV basics (image/video I/O, resizing, color-space conversion)
- Image processing (thresholding, morphological transforms, bitwise operations, histogram equalization)
- Edge, corner, contour, and keypoint detection
- Feature matching and object recognition
- Advanced techniques (Canny edge detection, texture analysis, optical flow, object tracking, segmentation, OCR with Tesseract)
- Deep learning integration (TensorFlow/Keras, YOLOv7-tiny, YOLOv8)
- GUI development with Tkinter
- Real-time project deployment
-
Key Skills Learned:
- Building smart face-attendance systems
- Driver-drowsiness detection using EAR/MAR metrics
- YOLO-based object and weapon detection
- People counting and entry/exit tracking
- License-plate and traffic-sign recognition
- Intrusion and PPE detection for workplace safety
- Accident and fall detection with MQTT alerts
- Emotion, age, gender, and hand-gesture recognition
- Wildlife identification in live streams
- Vehicle speed tracking
- OCR and segmentation pipelines
Course Format
- Duration:
- 15.5 hours of on-demand video
- 20+ hands-on projects
- Format: Self-paced online course
- Resources:
- 22 downloadable resources
- Access on mobile and TV
- Certificate of completion
Special Offer
- Limited Time Coupon Code: N/A