AI Object Detection Basics

Course Overview

Demystify AI object detection technology used in modern industrial monitoring systems. This course breaks down complex concepts into easy-to-understand lessons, covering the same fundamentals taught by leading AI educators at Ultralytics, Roboflow, and freeCodeCamp.

What You’ll Learn

• Core Concepts: How convolutional neural networks “see” and interpret visual data
• Detection Models: Understanding YOLO, SSD, Faster R-CNN and when to use each
• YOLOv8 Deep Dive: The most popular real-time detection model explained simply
• Detection Types: Object, face, PPE, vehicle, and anomaly detection
• Accuracy Metrics: Understanding precision, recall, confidence scores, and mAP
• Applications: Real-world use cases in safety monitoring, quality control, and security

Who This Course Is For

• Safety managers exploring AI solutions for workplace monitoring
• Project managers evaluating AI vendors and solutions
• IT professionals implementing computer vision systems
• Operations managers looking to automate visual inspection
• Anyone curious about how AI detection works in practice

No Coding Required

This course focuses on concepts and applications, not programming. You’ll gain the knowledge to:

• Evaluate AI systems and vendors intelligently
• Understand technical specifications and requirements
• Communicate effectively with AI development teams
• Make informed decisions about AI investments

Industry Applications Covered

• PPE Detection: Hard hats, safety vests, goggles, gloves
• Vehicle & Equipment Tracking: Forklifts, trucks, machinery
• Intrusion Detection: Restricted zone monitoring
• Quality Control: Defect detection in manufacturing
• People Counting: Occupancy and crowd monitoring
• Safety Hazard Detection: Spills, obstacles, unsafe conditions

Course Resources

This course references concepts from industry-leading resources:

• Ultralytics YOLOv8 Documentation
• Roboflow Object Detection Guides
• Stanford CS231n Computer Vision Course
• Google AI Research Publications