Home / About iWareBatik – News and Events / Batik Recognition Tool: Successful USI Master Thesis in Artificial Intelligence Presented by Reinard Lazuardi Kuwandy
Batik Recognition Tool: Successful USI Master Thesis in Artificial Intelligence Presented by Reinard Lazuardi Kuwandi
Congratulations to Reinard Lazuardi Kuwandy, the software engineer of Batik Recognition Tool of iWareBatik, for successfully obtaining a Master degree in Computer Science from USI-Università della Svizzera Italiana, Switzerland. The master’s thesis defence was held on January 19th, 2021, before the committee consisting of Prof. Lorenzo Cantoni, PhD, Prof. Luca Gambardella, PhD, and Giusti Alessandro.
Born in Jakarta, the capital of Indonesia, Reinard has successfully developed an innovative artificial intelligence machine learning to support the digital preservation of Indonesian Batik, a UNESCO Intangible Cultural Heritage in 2009, through iWareBatik mobile app project. This project was realised thanks to the support of USI UNESCO Chair in ICT to promote and develop sustainable tourism in World Heritage Sites, Lpdp Scholarship, Sobat Budaya Association, and USI eLab.
In order to try out the Batik Recognition Tool, you could find and download iWareBatik mobile app for free in Android and iOs platforms.
Wish Reinard a great continuation and fruitful success in the future.
#iwarebatik #innovation #IndonesianBatik #Unite4Heritage #faces4heritage #digitalheritage #usilife
Batik is a textile-making tradition in Indonesia that was inscribed by UNESCO as Intangible Cultural Heritage of Humanity in 2009.
iWareBatik is a digital platform that is designed to showcase and communicate the exceptional cultural values of Batik tradition that is protected by UNESCO as the legacy of humanity.
The online platform serves to help international and Indonesian Batik stakeholders to identify the variety of Batik textiles, philosophical values behind the motif, its place of origin, and useful information about local producers. Since Batik characterises the culture of each region in Indonesia, iWareBatik platform also features information about Indonesian tourism overview related to Batik in 34 provinces across Indonesia.
The Artificial Intelligence machine learning provides a new learning experience to reveal the hidden past of the Batik motifs using the Batik Recognition Tool in the mobile app.
App download links:
Congratulations to Reinard Lazuardi Kuwandy, the software engineer of Batik Recognition Tool of iWareBatik, for obtaining Master degree in Computer Science from USI-Università della Svizzera italiana, Switzerland.
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