Our Instructors Collaborate With Top Tech Leaders
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Microsoft
NVIDIA
Startups
Microsoft
NVIDIA
By the end of this course, you'll have the skills to land your first computer vision job or freelance clients.
Understand how AI and computer vision have evolved to solve real-world problems.
Master core libraries and tools used in modern CV applications.
Dive deep into face recognition, object detection, emotion tracking, and more.
Learn to apply deep learning models like YOLO, SSD, and CNNs for real-time vision tasks.
Build diverse applications for healthcare, surveillance, smart cities, and transportation.
Showcase your skills and commitment with a verifiable certificate from ScratchLearn.
Muhammad Yaqoob is the founder of Tentosoft Pvt Ltd and a seasoned Computer Vision expert. With 10+ years of experience and over 5,000+ students taught globally, he brings deep industry knowledge and a passion for practical, hands-on learning.
8 weeks of comprehensive training with 50+ lessons and 10+ hours of content
A brief overview to set the stage for exploring AI, computer vision, and real-time intelligent systems with hands-on projects and expert guidance.
Understand the scope and applications of AI
Get familiar with the course structure, tools, and prerequisites.
Learn how computer vision and intelligent systems are transforming industries.
Get introduced to your course mentor, understand their background, and learn what to expect from this immersive learning journey in AI and computer vision.
Instructor background overview
Course journey insights
Learning outcomes preview
Dive into the basics of Artificial Intelligence, how it mimics human intelligence, and its real-world applications in today's fast-paced digital landscape.
History and evolution of AI
Mimicking human decision-making
AI use cases across industries
Learn what computer vision is, how machines interpret images and videos, and where it's used in industries like security, healthcare, and automation.
Introduction to Computer Vision and its Applications
Techniques for visual data interpretation
Real-world applications in key industries
Set up your Python environment, install essential libraries, and prepare your system for building powerful AI and computer vision applications.
Installing Python
VS Code for Python Development
Understand core techniques like image processing, color detection, edge detection, and filtering to lay a strong foundation in computer vision.
OpenCV Fundamental's Overview
Reading and Writing Images
Color Space Conversion
Displaying Images and Videos
Drawing Functions
Image Thresholding
Morphological Operations
Contour Detection
Mask Image Generation
Background Subtraction
Image Bitwise Operations
Histogram Equalization, Gamma Correction
Smoothing Filters
Sharpening Filters
Edge Detection Sobel
Contrast Adjustment
Explore advanced computer vision methods including feature extraction, contour detection, object tracking, and real-time video processing.
Computer Vision Advanced Introduction Video
Edge Detection Canny
Corner Detection
Keypoint Detection & Matching
Texture Analysis
Optical Flow and Motion Analysis
Object Tracking
Image Segmentation
Image Object Detection
Live Streaming
Tesseract OCR Engine
Build an AI-powered face detection system to automate attendance in classrooms or offices using real-time video input and face recognition.
Course Overview and Features
Installing Required Packages (Dilib, OpenCV, etc.)
Face Enrollment
Extracting Face Embeddings and Identifying Landmark
Training the Facial Recognition Model
Real-Time Face Recognition and Attendance
Building the Attendance Management GUI
Develop a model that detects signs of fatigue or drowsiness in drivers using facial landmarks and alerts them to stay awake and safe.
Introduction of the Driver Drowsiness Detection System
Driver Drowsiness Detection Project Overview
Understanding Key Packages for Driver Drowsiness Detection
Implementing Drowsiness Detection Logic Using EAR and MAR
Integrating Drowsiness Detection with Tkinter GUI
Real-Time Driver Drowsiness Detection with Live Video Streaming
Real-Time Model Inference for Driver Drowsiness Detection
Learn to use the YOLOv7 algorithm to detect multiple objects in real-time from live video or images with high accuracy and speed.
Introduction of the Object Detection using YOLOv7
Object Detection Project Overview
Understanding Key Packages for Object Detection
Understanding the YOLOv7-tiny Model Weights
Real-Time Object Detection with YOLOv7-tiny
Building a Tkinter GUI for Real-Time Object Detection
Executing Real-Time Model Inference for Object Detection
Develop in-demand skills through real-world implementations
Automate attendance with real-time facial recognition. Eliminate proxy entries and ensure efficient identity verification with AI-driven accuracy.
Enhance road safety by detecting signs of fatigue in drivers. Get real-time alerts and reduce accident risks with intelligent eye and head movement tracking.
Learn to identify multiple objects in real-time using the powerful YOLOv7 model. Sharpen your computer vision skills for dynamic environments.
Detect weapons instantly using AI-powered surveillance. Strengthen public safety with real-time alerts and proactive threat identification.
Track and manage crowd flow with precision. Monitor real-time entry and exit to improve space utilization and safety compliance.
Decode human emotions through facial expressions. Use AI to gain insights into mood, behavior, and engagement in real time.
Capture and recognize license plates using large language model-backed vision systems. Boost vehicle monitoring and smart surveillance.
Train models to detect and classify traffic signs. Lay the foundation for autonomous driving and intelligent traffic systems.
Protect restricted areas with AI-powered intrusion detection. Identify unauthorized movements with intelligent motion and shape analysis.
Ensure employee safety by detecting helmets, vests, and other PPE. Automate safety compliance and minimize workplace accidents.
Automate attendance with real-time facial recognition. Eliminate proxy entries and ensure efficient identity verification with AI-driven accuracy.
Enhance road safety by detecting signs of fatigue in drivers. Get real-time alerts and reduce accident risks with intelligent eye and head movement tracking.
Learn to identify multiple objects in real-time using the powerful YOLOv7 model. Sharpen your computer vision skills for dynamic environments.
Detect weapons instantly using AI-powered surveillance. Strengthen public safety with real-time alerts and proactive threat identification.
Track and manage crowd flow with precision. Monitor real-time entry and exit to improve space utilization and safety compliance.
Decode human emotions through facial expressions. Use AI to gain insights into mood, behavior, and engagement in real time.
Capture and recognize license plates using large language model-backed vision systems. Boost vehicle monitoring and smart surveillance.
Train models to detect and classify traffic signs. Lay the foundation for autonomous driving and intelligent traffic systems.
Protect restricted areas with AI-powered intrusion detection. Identify unauthorized movements with intelligent motion and shape analysis.
Ensure employee safety by detecting helmets, vests, and other PPE. Automate safety compliance and minimize workplace accidents.
Use AI to estimate age and gender from facial features. Build models for demographic analysis, marketing, and personalization.
Detect and report accidents in real time using computer vision. Enable quicker emergency response and enhance public road safety.
Track vehicle speed using AI and vision-based sensors. Identify speed violations and promote safer driving environments.
Streamline parking with smart detection and slot allocation. Monitor availability and reduce congestion using intelligent vision systems.
Promote health safety by detecting face mask usage in real time. Ensure compliance in public spaces using AI monitoring.
Build interactive systems with gesture-based controls. Recognize hand movements to power smart interfaces and accessibility solutions.
Analyze and track vehicle flow in real time. Use AI insights for better traffic management and urban planning.
Count workouts like push-ups or squats using pose detection. Improve personal fitness tracking with real-time AI feedback.
Detect falls in elderly or at-risk individuals using vision-based monitoring. Trigger alerts instantly to prevent injuries.
Recognize different animals using computer vision. Use AI for wildlife monitoring, conservation, and agricultural safety.
Detect distracted driving behaviors such as phone usage or looking away. Improve road safety by alerting drivers in real time.
Use AI to estimate age and gender from facial features. Build models for demographic analysis, marketing, and personalization.
Detect and report accidents in real time using computer vision. Enable quicker emergency response and enhance public road safety.
Track vehicle speed using AI and vision-based sensors. Identify speed violations and promote safer driving environments.
Streamline parking with smart detection and slot allocation. Monitor availability and reduce congestion using intelligent vision systems.
Promote health safety by detecting face mask usage in real time. Ensure compliance in public spaces using AI monitoring.
Build interactive systems with gesture-based controls. Recognize hand movements to power smart interfaces and accessibility solutions.
Analyze and track vehicle flow in real time. Use AI insights for better traffic management and urban planning.
Count workouts like push-ups or squats using pose detection. Improve personal fitness tracking with real-time AI feedback.
Detect falls in elderly or at-risk individuals using vision-based monitoring. Trigger alerts instantly to prevent injuries.
Recognize different animals using computer vision. Use AI for wildlife monitoring, conservation, and agricultural safety.
Detect distracted driving behaviors such as phone usage or looking away. Improve road safety by alerting drivers in real time.
Is This Course Right for You?
Kickstart your AI journey with structured, hands-on learning.
Build a portfolio that recuriters can't ignore.
Add powerful AI/CV features to your apps and software.
Upskill for higher-paying, future-ready tech roles.
Build Smarter, more intelligent applications.
Transition into AI even with zero background.
One-time payment for lifetime access to all course materials and updates
Ideal for curious learners who want to explore the basics of AI and Computer Vision before committing full
Perfect for students and beginners looking to build foundational knowledge and a few practical projects.
Recommended for serious learners who want to master AI & CV with 21+ real-world projects and mentorship.
₹ 6720 inclusive of GST ₹ 13999
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Hear from our students who transformed their careers
Great Course to start the journey in AI for beginners, Real time implementation is well explained.
Giving this much projects I found in this course only, Really helped me to implement in my project's,
One of the best opencv course, i found in udemy with lot of real world projects, Thank u for delivery these insights...
One of the Best Computer Vision course Ifound in Udemy
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