Embedded Systems and Computer Vision Techniques utilized in Spray Painting Robots: A Review
Soham Shah, Siddhi Vinayak Pandey, Archit Sorathiya, Raj Sheth, Alok, Kumar Singh, Jignesh Thaker

TL;DR
This review explores embedded systems and computer vision techniques that enhance the efficiency, accuracy, and sustainability of spray painting robots used in various construction and industrial applications.
Contribution
It provides a comprehensive overview of recent advancements in image processing, system design, and embedded technologies for spray painting robots, highlighting innovations that reduce human intervention.
Findings
Advanced image analysis improves robot accuracy.
Embedded system integration enhances efficiency and reliability.
Techniques enable environmentally sustainable painting processes.
Abstract
The advent of the era of machines has limited human interaction and this has increased their presence in the last decade. The requirement to increase the effectiveness, durability and reliability in the robots has also risen quite drastically too. Present paper covers the various embedded system and computer vision methodologies, techniques and innovations used in the field of spray painting robots. There have been many advancements in the sphere of painting robots utilized for high rise buildings, wall painting, road marking paintings, etc. Review focuses on image processing, computational and computer vision techniques that can be applied in the product to increase efficiency of the performance drastically. Image analysis, filtering, enhancement, object detection, edge detection methods, path and localization methods and fine tuning of parameters are being discussed in depth to use…
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Taxonomy
TopicsVehicle License Plate Recognition · Currency Recognition and Detection · Smart Agriculture and AI
