Machine Vision

Build real-world automated visual inspection and perception systems using cameras, lighting, optics, embedded computing, and AI tools. Learn how to design industrial and robotics-grade vision pipelines that see, understand, and act.

Course Overview

Machine Vision teaches you how to design and deploy camera-based inspection and robotic perception systems. While Digital Image Processing focuses on core algorithms, this course brings everything into application: optics, illumination, lenses, industrial cameras, embedded compute (Jetson/Raspberry Pi), real-time AI inference, and deployment in manufacturing and field environments.

Learning Objectives

  • Design vision inspection architectures for industrial and robotic systems
  • Select and configure cameras, lenses, and lighting for different environments
  • Acquire and preprocess images for robust detection
  • Implement classical and AI-based vision pipelines
  • Prototype systems using Raspberry Pi, Jetson Nano, Arduino/ESP32
  • Deploy real-time vision applications with edge compute and automation

Module Breakdown

Module 1 — Vision System Foundations

Optics, lenses, lighting, camera types (USB, CSI, industrial, depth sensors).

Module 2 — Image Acquisition & Hardware

Camera calibration, exposure, shutter control, interface protocols, microcontroller integration.

Module 3 — Classical Machine Vision

Filtering, segmentation, feature-based detection, measurement, OCR basics.

Module 4 — AI for Vision

Object detection, classification, defect detection using CNNs and lightweight models (YOLO, MobileNet, Edge AI).

Module 5 — Embedded & Industrial Deployment

Raspberry Pi / Jetson pipelines, real-time inference, industrial integration, PLC/IoT connectivity, conveyors & robotics.

Module 6 — Capstone Project

Build and demonstrate a complete machine vision prototype with documentation and deployment plan.

Capstone Examples

Fabric Defect Detector
Real-time inspection system (TexVision pipeline).
Produce Grading System
Ripeness & defect detection for agriculture.
Robotic Eye for Sorting
Camera + microcontroller + servo sorting system.

Tools & Technologies

Who Should Enroll

Engineers, makers, and innovators who want to build advanced vision systems for robotics, manufacturing, agriculture, and automation — or create tech-driven businesses.

Assessment & Certification

  • Labs & hardware projects (30%)
  • Module assessments (20%)
  • Capstone build & deployment (40%)
  • Demo + technical report (10%)
Enquire / Apply