Heritage Restoration Division

At Sapio, Our Vision Is To Enable Policy Formulators And Stakeholders To Use Intelligence Of Data Thereby, Following The Mantras Of

Restoration

Restoration

Combination of manual digital restoration and artificially intelligent trained restoration. We apply deep learning with trained data sets derived out of manual work to improve and speed up the process of restoration.

Deep Learning Training is done on manually restored and original digitized art, along with comprehensive multilayered labels provided by experts for each style of painting.

restored Image

Before

after

Before

after

Tech4Heritage – First step towards restoration

A 15 day Grand Hackathon was organised by us in partnership with Rishihood University and supported by Ministry of Culture, Government of India, with tremendous participation of over more than 500 teams and presented their model for digital art restoration of Ajanta Caves.
Target: Find India’s best brains in the field of deep learning and interested in heritage art
our collaborators
DIGNITARIES ASSOCIATED

dignitaries associated with the technology based restoration

Prof Ashutosh Sharma

prof ashutosh sharma

SECRETARY DST,GOI

Mr Suresh Prabhu

suresh prabhu

Rajya Sabha MP & Former Cabinet Minister Chancellor, Rishihood University

Prashant kumar

Prashant kumar

Senior Engineer, Qualcomm

dr ashish tendulkar DIGNITARIES ASSOCIATED​ sapio hrd

dr ashish tendulkar

ML Architect Google

Sachin Vyas

Sachin Vyas

VP of  data AI Automation Products, LTI

Anurag Saxena Founder, India Pride Project

anurag saxena

Founder, India Pride Project

saurab

Saurabh Jain

Paytm Build for India

sachin

‪Dr. Sachin D. Kore

Dean IIT Goa

Dr. Anupam Chouksey heritage and restoration sapio

Dr. Anupam Chouksey

SECRETARY LNCT Group

Ayon Roy DIGNITARIES ASSOCIATED​

Ayon Roy

ML Enthusiast

ankit mathur

Ankit Mathur

Sr. Data Scientist, GE

mphan

Mohan Khilariwal

ML Expert

Sapio is in close engagements with Piql AS (Norway) and Factum Foundation (Spain) to launch a pilot project to investigate and explore the different methods of digitization and data acquisition of the low and high relief walls and statues in Angkor Wat.