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Machine vision and image processing for drones

  • Kwok Tai Chui
  • , Varsha Arya
  • , Akshat Gaurav
  • , Shavi Bansal
  • , Ritika Bansal

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter delves into the pivotal role of machine vision and image processing in the realm of artificial intelligence for industrial robotics and intelligent drones. It begins by introducing the fundamental concepts and techniques of machine vision, including image capture, analysis, and interpretation methods that enable machines to 'see' and make sense of their surroundings. The discussion extends to advanced image processing strategies, such as edge detection, feature extraction, and object recognition, highlighting their critical applications in enabling autonomous operation of robots and drones. The chapter emphasizes the importance of 3D mapping and scene reconstruction in creating detailed environmental models for navigation and task execution. Furthermore, it explores the emerging use of augmented reality (AR) for industrial applications, offering insights into how AR enhances human-machine interaction by overlaying digital information onto the physical world.

Original languageEnglish
Title of host publicationAI Developments for Industrial Robotics and Intelligent Drones
Pages137-157
Number of pages21
ISBN (Electronic)9798369327081
DOIs
Publication statusPublished - 13 Dec 2024

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