Book Detection Using Deep Learning

Prashanth, P. S.; K, Vivek; Reddy, D. Ruthvik; Aruna, K.

doi:10.1109/iccmc.2019.8819725

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Indeed, the automation of these tasks will result in a benefit in terms of cost and time. As a consequence, considerable research and development activity over the few last years has resulted in several technologies that try to automate these tasks, including librarian robots [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…In this context, deep learning techniques that have been employed in recent years. Prashanth et al [ 10 ] used the well-known convolutional network AlexNet to detect books in a library, while Zhu et al [ 11 ] applied a faster Region-based Convolutional Neural Network (R-CNN), nevertheless, book recognition was not addressed by either of them. Finally, Yang et al [ 12 ] proposed a revised version of the connectionist temporal classification (CTC) for reading text on the book spines.…”

Section: Introductionmentioning

confidence: 99%

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The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation

Martínez-Martín

Ferrer

Vasilev

et al. 2021

Sensors

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Over time, the field of robotics has provided solutions to automate routine tasks in different scenarios. In particular, libraries are awakening great interest in automated tasks since they are semi-structured environments where machines coexist with humans and several repetitive operations could be automatically performed. In addition, multirotor aerial vehicles have become very popular in many applications over the past decade, however autonomous flight in confined spaces still presents a number of challenges and the use of small drones has not been reported as an automated inventory device within libraries. This paper presents the UJI aerial librarian robot that leverages computer vision techniques to autonomously self-localize and navigate in a library for automated inventory and book localization. A control strategy to navigate along the library bookcases is presented by using visual markers for self-localization during a visual inspection of bookshelves. An image-based book recognition technique is described that combines computer vision techniques to detect the tags on the book spines, followed by an optical character recognizer (OCR) to convert the book code on the tags into text. These data can be used for library inventory. Misplaced books can be automatically detected, and a particular book can be located within the library. Our quadrotor robot was tested in a real library with promising results. The problems encountered and limitation of the system are discussed, along with its relation to similar applications, such as automated inventory in warehouses.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation

Martínez-Martín

Ferrer

Vasilev

et al. 2021

Sensors

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An Autonomous Drone for Image-Based Inspection of Bookshelves

Martínez-Martín

Ferrer

Vasilev

et al. 2021

2021 29th European Signal Processing Conference (EUSIPCO)

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A Survey on Artificial Intelligence Aided Internet-of-Things Technologies in Emerging Smart Libraries

Zhang

Huang

et al. 2022

Sensors

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With the boom in artificial intelligence (AI) and Internet-of-Things (IoT), thousands of smart devices are interconnected with each other and deeply applied into human society. This prosperity has significantly improved public service and management, which were traditionally based on manual work. As a notable scenario, librarianship has embraced an era of “Smart Libraries” enabled by AI and IoT. Unlike existing surveys, our work comprehensively overviews the AI- and IoT-based technologies in three fundamental aspects: smart service, smart sustainability, and smart security. We then further highlight the trend towards future smart libraries.

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Book Detection Using Deep Learning

Cited by 3 publications

References 9 publications

The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation

The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation

An Autonomous Drone for Image-Based Inspection of Bookshelves

A Survey on Artificial Intelligence Aided Internet-of-Things Technologies in Emerging Smart Libraries

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