Over the past two years, Coeli and Nubilum have collaborated extensively. Coeli, a SaaS solution provider for heritage collections in museums, archives, libraries, galleries, and universities, joined forces with Barcelona-based Nubilum, a specialist in data architecture and knowledge organization. Together, they have developed qUIc, an AI Facial Recognition Cataloging Tool. This innovative tool is designed for the facial recognition of individuals within photographic collections. Consequently, it enhances the capabilities of institutions to organize and access their historical photo archives effectively.
What’s the qUIc AI Facial Recognition Cataloging?
Discover the Power of the AI Facial Recognition Cataloging Tool, qUIc
qUIc excels at detecting and recognizing faces from a variety of media. Moreover, this tool works with videos, interviews, pictures, posters, press articles, and objects, regardless of their age.
Origin of the Name “qUIc”
Interestingly, the name “qUIc” blends the game ‘Who’s Who’ with ‘UI’ for User Interface. This clever play on words reflects the tool’s fun yet sophisticated approach. Thus, it encourages all staff members to engage in the cataloging process using AI.
Increasing Pace in Cataloging Photographic Collections
The pace at which photographic collections are cataloged is accelerating rapidly. Consequently, qUIc leverages AI facial recognition to enhance efficiency and accuracy.
Three-Phase Facial Recognition Process
Initially, qUIc identifies faces within any given image, establishing a set of coordinates. These coordinates adhere to the International Image Interoperability Framework (IIIF) standard. Next, the tool extracts a numerical vector that uniquely represents each face. Finally, qUIc compares these vectors to assess the similarity between various faces.
Operational Advantages of qUIc
During its operation, the tool focuses specifically on faces within the photographic background. Furthermore, its algorithms automatically suggest faces similar to those previously cataloged. Therefore, users can adopt different strategies to catalog faces, whether by exploring unidentified faces at random or grouping them by similarity or associated events.
Strategic Cataloging with qUIc
Users of qUIc can navigate the cataloging process through multiple strategies. They might review faces pending identification randomly or organize them by the similarity of faces or related shows. This flexibility greatly enhances the cataloging process, making qUIc an indispensable tool for institutions looking to harness the power of AI in their archival efforts.
Teatre Lliure Archive Case Study
Teatre Lliure in Barcelona stands as a pivotal creative and exhibition center in Spain. Additionally, Arxiu Lliure maintains a vibrant and ever-expanding archive. Currently, this digital collection boasts over 60,000 heritage objects from Teatre Lliure’s documentary records.
Moreover, the AI Facial Recognition Cataloging Tool has made significant strides. Impressively, it has cataloged more than 28,000 faces to date. This tool works seamlessly alongside the intuitive skills of the Teatre Lliure staff, enhancing their efforts. Consequently, the synergy between artificial and natural intelligence has proven extremely effective in managing vast amounts of data.
Interested in learning more about Coeli’s Collection Management or the qUIc Solution? Contact ABTec Solutions today for more information. Call Toll Free 1 (825) 419-3040 or WhatsApp us on (825) 419.3040 or book a free consultation or reach out and fill the form and we will contact you as soon as possible.
