1. A method for digital preservation and access to library collections using AI and machine vision, the method comprising: scanning library materials to generate digital images; using machine vision algorithms to identify and extract text and other relevant features from the digital images; applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials; and storing the digital images and associated metadata in a digital repository; providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.

2. The method of claim 1, wherein the machine vision algorithms include optical character recognition (OCR) algorithms for extracting text from the digital images.

3. The method of claim 1, wherein the machine vision algorithms include object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams.

4. The method of claim 1, wherein the AI techniques include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials.

5. The method of claim 1, wherein the AI techniques include machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials.

6. The method of claim 1, wherein the digital repository includes multiple layers of storage, including long-term archival storage and more accessible storage for user access.

7. The method of claim 1, wherein the user access includes a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information.

8. The method of claim 1, further comprising a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness.

9. The method of claim 1, further comprising a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.

10. A system for digital preservation and access to library collections using AI and machine vision, the system comprising: a scanning device for generating digital images of library materials; machine vision algorithms for identifying and extracting text and other relevant features from the digital images; an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials; a digital repository for storing the digital images and associated metadata; and a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content. DIGITAL PRESERVATION AND ACCESS TO LIBRARY COLLECTIONS USING AI AND MACHINE VISION Abstract A method for the digital preservation of library collections and access to those collections utilizing AI and machine vision may be included as an embodiment of the current disclosure. This technique may comprise scanning library items in order to produce digital pictures. In certain embodiments, the process of identifying and extracting text and other pertinent elements from digital pictures may also include the use of machine vision algorithms. The use of artificial intelligence algorithms to evaluate the data that was collected and produce metadata that describes the content of the library resources is another possible embodiment. A digital repository may also be used to store the digital photographs and the information that is connected with them in certain embodiments. The provision of user access to the digital repository, including search and retrieval functionalities that allow users to locate library resources based on their content and get access to those materials, may also be included as an embodiment. , Claims:Claims :

1. A method for digital preservation and access to library collections using AI and machine vision, the method comprising: scanning library materials to generate digital images; using machine vision algorithms to identify and extract text and other relevant features from the digital images; applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials; and storing the digital images and associated metadata in a digital repository; providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.

2. The method of claim 1, wherein the machine vision algorithms include optical character recognition (OCR) algorithms for extracting text from the digital images.

3. The method of claim 1, wherein the machine vision algorithms include object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams.

4. The method of claim 1, wherein the AI techniques include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials.

5. The method of claim 1, wherein the AI techniques include machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials.

6. The method of claim 1, wherein the digital repository includes multiple layers of storage, including long-term archival storage and more accessible storage for user access.

7. The method of claim 1, wherein the user access includes a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information.

8. The method of claim 1, further comprising a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness.

9. The method of claim 1, further comprising a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.

10. A system for digital preservation and access to library collections using AI and machine vision, the system comprising: a scanning device for generating digital images of library materials; machine vision algorithms for identifying and extracting text and other relevant features from the digital images; an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials; a digital repository for storing the digital images and associated metadata; and a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.

Description:DIGITAL PRESERVATION AND ACCESS TO LIBRARY COLLECTIONS USING AI AND MACHINE VISION
Field of the Invention
[0001] The present invention relates to the field of digital preservation and access to library collections, particularly using artificial intelligence (AI) and machine vision techniques. More specifically, the invention is directed towards a system and method for digitizing, organizing, and providing access to library collections using advanced technologies that improve accuracy, efficiency, and compliance with legal requirements.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Digital preservation and access to library collections have become increasingly important in the modern era of technology. As more and more libraries move their collections to digital formats, it has become critical to ensure that these materials are preserved for future generations and made accessible to the public.
[0004] However, digital preservation and access present unique challenges. Digital materials are subject to technological obsolescence, deterioration, and loss. Moreover, digitized collections can be vast and complex, making it difficult for users to locate and access the materials they need.
[0005] To address these challenges, various techniques have been developed for digital preservation and access to library collections. For example, digitization efforts have been used to preserve fragile or rare materials, while search and retrieval systems have been developed to help users locate and access digital collections. Few of the prior arts are listed below.
[0006] AU2015315175B2 (By: ADVANCED ELEMENTAL TECHNOLOGIES) The embodiments herein provide a secure computing resource set identification, evaluation, and management arrangement, employing in various embodiments some or all of the following highly reliable identity related means to establish, register, publish and securely employ user computing arrangement resources in satisfaction of user set target contextual purposes. Systems and methods may include, as applicable, software and hardware implementations for Identity Firewalls; Awareness Managers; Contextual Purpose Firewall Frameworks for situationally germane resource usage related security, provisioning, isolation, constraining, and operational management; liveness biometric, and assiduous environmental, evaluation and authentication techniques; Repute systems and methods assertion and fact ecosphere; standardized and interoperable contextual purpose related expression systems and methods; purpose related computing arrangement resource and related information management systems and methods, including situational contextual identity management systems and methods; and/or the like.
[0007] US20050203931A1 (By: BROGAN CHRIS, MEDIA ADDITION, AKM VC, SULLIVAN SR JOHN) Metadata management convergence platforms, systems, and methods to organize a community of users' data records. More specifically, methods managing metadata records related to content housed in unique, disparate or federated holdings in centralized or distributed environments. Also systems and methods for creating and managing metadata records using domain specific language, vocabulary and metadata schema accepted by a community of users of unique, disparate or federated databases in centralized or distributed environments. Such environments can include content repositories including but not limited to: vehicle fleet information systems; government document holdings; insurance and underwriting information holdings; academic library collections; and entertainment archives.
[0008] US20220237561A1 (By: TEXAS TECH UNIVERSITY) Libraries are collections of books, periodicals, and other items that can be read in situ, checked out by patrons, and shared with other libraries. Collections are more useful when the items in the collection reflect user interests. Cluster analysis of the collection can be juxtaposed with cluster analysis of items taken from, borrowed from, or requested from the collection. The juxtaposition reveals differences between the collection and the user's desired collection. The collection can also be adapted to meet expected future needs by predicting future user needs based on past user behavior.
[0009] Despite these efforts, there is still a need for improved methods and systems for digital preservation and access to library collections. Such methods and systems should be cost-effective, scalable, and flexible, while also ensuring that digital materials are preserved and accessible for the long-term.
[00010] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
[00011] It also shall be noted that as used herein and in the appended claims, the singular forms “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. This invention can be achieved by means of hardware including several different elements or by means of a suitably programmed computer. In the unit claims that list several means, several ones among these means can be specifically embodied in the same hardware item. The use of such words as first, second, third does not represent any order, which can be simply explained as names.
Summary
[00012] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00013] The present invention relates to the field of digital preservation and access to library collections, particularly using artificial intelligence (AI) and machine vision techniques. More specifically, the invention is directed towards a system and method for digitizing, organizing, and providing access to library collections using advanced technologies that improve accuracy, efficiency, and compliance with legal requirements.
[00014] Embodiments of the present disclosure may include a method for digital preservation and access to library collections using AI and machine vision, wherein the method includes scanning library materials to generate digital images. Embodiments may also include using machine vision algorithms to identify and extract text and other relevant features from the digital images.
[00015] Embodiments may also include applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials. Embodiments may also include storing the digital images and associated metadata in a digital repository. Embodiments may also include providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.
[00016] In some embodiments, the machine vision algorithms include optical character recognition (OCR) algorithms for extracting text from the digital images. In some embodiments, the machine vision algorithms include object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams. In some embodiments, the AI techniques include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials.
[00017] In some embodiments, the AI techniques include machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials. In some embodiments, the digital repository includes multiple layers of storage, including long-term archival storage and more accessible storage for user access.
[00018] In some embodiments, the user access includes a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information. In some embodiments, the method may include a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness. In some embodiments, the method may include a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.
[00019] Embodiments of the present disclosure may also include a system for digital preservation and access to library collections using AI and machine vision, including a scanning device for generating digital images of library materials. Embodiments may also include machine vision algorithms for identifying and extracting text and other relevant features from the digital images.
[00020] Embodiments may also include an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials. Embodiments may also include a digital repository for storing the digital images and associated metadata. Embodiments may also include a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.
Brief Description of the Drawings
[00021] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00022] FIG. 1 is a flowchart illustrating a method for digital preservation and access to library collections using AI and machine vision, according to some embodiments of the present disclosure.
[00023] FIG. 2 is a block diagram illustrating a system for digital preservation and access to library collections using AI and machine vision, according to some embodiments of the present disclosure.
Detailed Description
[00024] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00025] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00026] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00027] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00028] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.
[00029] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items..
[00030] The present invention relates to the field of digital preservation and access to library collections, particularly using artificial intelligence (AI) and machine vision techniques. More specifically, the invention is directed towards a system and method for digitizing, organizing, and providing access to library collections using advanced technologies that improve accuracy, efficiency, and compliance with legal requirements.
[00031] FIG. 1 is a flowchart that depicts a process that illustrates the technique in accordance with some implementations of the current disclosure. This method was drawn to illustrate the technology for digital preservation and access to library collections using AI and machine vision. Scanning library items in order to create digital photos is a step that is not required to be performed in order to complete the operation at position 110, but it is an optional step that may be included in some implementations of the procedure. As part of the process, the identification and extraction of text and other significant features from digital photos may be achieved with the assistance of machine vision algorithms during the step 120 process. At the step number 130, the method can comprise using techniques from the field of artificial intelligence in order to carry out an analysis of the data that was gathered and give metadata that characterizes the material that is housed in the library resources. In the step 140 of the method, a digital repository may be employed in order to store the digital photos and the information that is related with them. The method may comprise providing user access to the digital repository at step 150. The digital repository may include search and retrieval functions that enable users to find library contents depending on the content of those materials and get access to those materials.
[00032] The machine vision algorithms may, in some implementations, incorporate techniques of optical character recognition (OCR) for the goal of collecting textual information from digital photos. This is done for the purpose of extracting information from digital images. The machine vision algorithms may, in certain implementations, incorporate object recognition algorithms for the purpose of locating and extracting other relevant characteristics from digital pictures, such as photos or diagrams. This may be done in order to facilitate the machine vision algorithms' ability to accomplish their intended purpose. The AI methods may, in some implementations, use natural language processing (NLP) techniques for the purpose of assessing the extracted text and producing metadata that describes the content of the library resources. This may be the case in certain implementations.
[00033] The artificial intelligence approaches may, in certain implementations, include machine learning algorithms for the purpose of discovering patterns and correlations in the data that has been extracted and producing metadata that describes the information that is included in the library resources. This may be done for the purpose of discovering patterns and correlations in the data that has been extracted. It is possible for the digital repository to have many layers of storage in some implementations. These layers might include storage that is designed for the purpose of long-term preservation as well as storage that is designed to be more immediately accessible for user access. The user access may, in certain implementations, consist of a web-based interface that provides users with the ability to search for and obtain library resources based on the content of such materials, in addition to browsing related materials and seeing other contextual information. In some implementations of the method, the process may have a quality control stage at some point. This phase entails doing a human verification of the data that was extracted in addition to the metadata in order to ensure that it is correct and complete. In certain implementations of the approach, there is the possibility of including a step that automatically creates graphical representations of the information contained within the library resources. The many ways in which the approach may be put into practice are collectively referred to as embodiments.
[00034] As a block diagram, the system 200 is shown in FIG. 2, which also offers a description of the system in line with different features of the present disclosure for digital preservation and access to library collections using AI and machine vision. In some configurations, the components listed below could make up the system 200: a scanning device 210 for the purpose of producing digital images of library materials; the machine vision algorithms 220 for the purpose of recognizing and extracting text and other relevant features from the digital images; an artificial intelligence system 240 for the purpose of analyzing the extracted data and producing metadata that describes the content of the library materials; a digital repository 230 for the purpose of storing the digital images and the metadata as they are produced; and a digital library for the purpose of storing the digital images and the metadata as they are produced. The user interface 250 may include a search 252 and retrieval capabilities 254 that enable users to seek library contents based on the contents of those materials and get access to those materials. This functionality is referred to as "finding" library contents.
[00035] Digital preservation and access to library collections using AI and machine vision is a method that involves scanning library materials to generate digital images, using machine vision algorithms to identify and extract text and other relevant features from the digital images, applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials, and storing the digital images and associated metadata in a digital repository. User access to the digital repository includes search and retrieval functions that enable users to discover and access library materials based on their content.
[00036] The machine vision algorithms used in the method can include optical character recognition (OCR) algorithms for extracting text from the digital images, and object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams. The AI techniques used in the method can include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials, and machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials.
[00037] The digital repository used in the method can include multiple layers of storage, including long-term archival storage and more accessible storage for user access. The user access can include a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information.
[00038] The method can also include a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness. Additionally, the method can include a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.
[00039] In addition to the method, a system for digital preservation and access to library collections using AI and machine vision can also be provided. The system includes a scanning device for generating digital images of library materials, machine vision algorithms for identifying and extracting text and other relevant features from the digital images, an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials, a digital repository for storing the digital images and associated metadata, and a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.
[00040] A technique for the digital preservation of library collections and access to those collections utilizing AI and machine vision may be included as an embodiment of the current disclosure. This technique may comprise scanning library items in order to produce digital pictures. In certain embodiments, the process of identifying and extracting text and other pertinent elements from digital pictures may also include the use of machine vision algorithms.
[00041] The use of artificial intelligence algorithms to evaluate the data that was collected and produce metadata that describes the content of the library resources is another possible embodiment. A digital repository may also be used to store the digital photographs and the information that is connected with them in certain embodiments. The provision of user access to the digital repository, including search and retrieval functionalities that allow users to locate library resources based on their content and get access to those materials, may also be included as an embodiment.
[00042] The machine vision algorithms may, in certain implementations, be configured to incorporate optical character recognition (OCR) techniques, which are used to derive text from digital pictures. In certain implementations, the machine vision algorithms comprise object recognition algorithms for locating and extracting other pertinent characteristics from digital images, such as pictures or diagrams. In certain implementations, the AI methods incorporate natural language processing (NLP) techniques for evaluating the extracted text and creating metadata that defines the content of the library resources.
[00043] The artificial intelligence approaches, in certain implementations, comprise machine learning algorithms for the purpose of recognizing patterns and correlations within the data that has been retrieved and producing metadata that characterizes the content of the library contents. The digital repository may, in certain implementations, have various layers of storage, including storage for the purpose of long-term archiving as well as storage that is more readily available for user access.
[00044] A web-based interface is included in certain implementations of the user access. This web-based interface gives users the ability to search for and obtain library resources based on the content of those materials, as well as explore related materials and see extra contextual information. A quality control phase may be included in the process in some embodiments. This step comprises doing a human check of the extracted data as well as the metadata in order to guarantee that it is accurate and comprehensive. A phase that automatically generates visual representations of the content of the library materials, such as summary or highlight pictures, may be included in certain implementations of the method.
[00045] A system for the digital preservation and access to library collections employing AI and machine vision may also be included in certain embodiments of the present disclosure. This system may contain a scanning device for the purpose of creating digital photographs of library items. These algorithms may be used to recognize and extract text and other important elements from digital photographs.
[00046] An artificial intelligence system that can analyze the data that has been extracted and generate metadata that describes the content of the library resources may also be included in embodiments. A digital repository for storing the digital photographs and the related information may also be included in certain embodiments of the concept. Embodiments may also include a user interface for the purpose of providing users with access to the digital repository. This user interface may include search and retrieval functions that allow users to locate library materials based on the content of those materials and gain access to those materials.
[00047] The above description is intended to be illustrative, and not restrictive. Although the present disclosure has been described with references to specific illustrative examples and implementations, it will be recognized that the present disclosure is not limited to the examples and implementations described. The scope of the disclosure should be determined with reference to the following claims, along with the full scope of equivalents to which the claims are entitled.
[00048] Modifications, additions, or omissions may be made to the systems and apparatuses described herein without departing from the scope of the disclosure. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
[00049] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00050] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
 

Claims
I/We Claim:
1. A method for digital preservation and access to library collections using AI and machine vision, the method comprising:
scanning library materials to generate digital images;
using machine vision algorithms to identify and extract text and other relevant features from the digital images;
applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials; and
storing the digital images and associated metadata in a digital repository; providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.
2. The method of claim 1, wherein the machine vision algorithms include optical character recognition (OCR) algorithms for extracting text from the digital images.
3. The method of claim 1, wherein the machine vision algorithms include object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams.
4. The method of claim 1, wherein the AI techniques include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials.
5. The method of claim 1, wherein the AI techniques include machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials.
6. The method of claim 1, wherein the digital repository includes multiple layers of storage, including long-term archival storage and more accessible storage for user access.
7. The method of claim 1, wherein the user access includes a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information.
8. The method of claim 1, further comprising a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness.
9. The method of claim 1, further comprising a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.
10. A system for digital preservation and access to library collections using AI and machine vision, the system comprising:
a scanning device for generating digital images of library materials;
machine vision algorithms for identifying and extracting text and other relevant features from the digital images;
an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials;
a digital repository for storing the digital images and associated metadata; and
a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.

DIGITAL PRESERVATION AND ACCESS TO LIBRARY COLLECTIONS USING AI AND MACHINE VISION Abstract
A method for the digital preservation of library collections and access to those collections utilizing AI and machine vision may be included as an embodiment of the current disclosure. This technique may comprise scanning library items in order to produce digital pictures. In certain embodiments, the process of identifying and extracting text and other pertinent elements from digital pictures may also include the use of machine vision algorithms. The use of artificial intelligence algorithms to evaluate the data that was collected and produce metadata that describes the content of the library resources is another possible embodiment. A digital repository may also be used to store the digital photographs and the information that is connected with them in certain embodiments. The provision of user access to the digital repository, including search and retrieval functionalities that allow users to locate library resources based on their content and get access to those materials, may also be included as an embodiment. , Claims:Claims
I/We Claim:
1. A method for digital preservation and access to library collections using AI and machine vision, the method comprising:
scanning library materials to generate digital images;
using machine vision algorithms to identify and extract text and other relevant features from the digital images;
applying AI techniques to analyze the extracted data and generate metadata that describes the content of the library materials; and
storing the digital images and associated metadata in a digital repository; providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.
2. The method of claim 1, wherein the machine vision algorithms include optical character recognition (OCR) algorithms for extracting text from the digital images.
3. The method of claim 1, wherein the machine vision algorithms include object recognition algorithms for identifying and extracting other relevant features from the digital images, such as images or diagrams.
4. The method of claim 1, wherein the AI techniques include natural language processing (NLP) techniques for analyzing the extracted text and generating metadata that describes the content of the library materials.
5. The method of claim 1, wherein the AI techniques include machine learning algorithms for identifying patterns and relationships in the extracted data and generating metadata that describes the content of the library materials.
6. The method of claim 1, wherein the digital repository includes multiple layers of storage, including long-term archival storage and more accessible storage for user access.
7. The method of claim 1, wherein the user access includes a web-based interface that enables users to search for and retrieve library materials based on their content, as well as browsing related materials and view additional contextual information.
8. The method of claim 1, further comprising a quality control step that involves manual review of the extracted data and metadata to ensure accuracy and completeness.
9. The method of claim 1, further comprising a step of automatically generating visual representations of the content of the library materials, such as summary or highlight images.
10. A system for digital preservation and access to library collections using AI and machine vision, the system comprising:
a scanning device for generating digital images of library materials;
machine vision algorithms for identifying and extracting text and other relevant features from the digital images;
an AI system for analyzing the extracted data and generating metadata that describes the content of the library materials;
a digital repository for storing the digital images and associated metadata; and
a user interface for providing user access to the digital repository, including search and retrieval functions that enable users to discover and access library materials based on their content.