Empowering Locksmith Crafts via Mobile Augmented Reality
- 9 September 2021
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM) in Proceedings of the Conference on Information Technology for Social Good
Abstract
The advancements in terms of networking, image resolution, computer vision (CV) and mobile cloud computing performances are transforming Mobile Augmented Reality (MAR) into a technology which may be put to good use in a variety of everyday contexts. To make this point, we here consider an artisanal craft rooted back into the past, key locksmithing, and show how today MAR capabilities may simplify and ameliorate the performances of such ancient trade. To this aim, we introduce the requirements posed by such craft and present a MAR-based workflow which may be implemented to support and speed its execution. This could also impact the everyday lives of ordinary citizens, since it pose the bases of remote locksmithing activities.Keywords
This publication has 9 references indexed in Scilit:
- Continual lifelong learning with neural networks: A reviewNeural Networks, 2019
- Augmented reality tools for industrial applications: What are potential key performance indicators and who benefits?Computers in Human Behavior, 2018
- Mobile Augmented Reality Survey: From Where We Are to Where We GoIEEE Access, 2017
- Augmented Reality versus Virtual Reality for 3D Object ManipulationIEEE Transactions on Visualization and Computer Graphics, 2017
- Object Contour Detection with a Fully Convolutional Encoder-Decoder NetworkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- A survey on content based image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Technoculture of handcraftPublished by Association for Computing Machinery (ACM) ,2012
- Reframing Haute Couture Handcraftship: How to Preserve Artisans’ Abilities with Gesture RecognitionLecture Notes in Computer Science, 2012
- KNN Model-Based Approach in ClassificationLecture Notes in Computer Science, 2003