Experiences

Our Experiences

Industrial Partner to IIT Roorkee under IMPRINT

SHRI is industrial partner to IIT Roorkee under IMPacting Research Innovation and Technology (IMPRINT), Program of department of Science and Technology (DST) for development of low cost earthquake early warning system which was demonstrated during the final presentation and is available for deployment.

INDIAN-ISRAEL Industrial R&D and Technological Innovation Fund

SHRI got the project "AI Based Seismic Disaster mitigation and management system" along with Israel Partner SeismicAI LTD, Modiin. The Cost of the project was INR 6.5 Crores.

Seismological Networks

The founders of the Startup are having the experience of operating and maintaining seismological networks in India and abroad. One such network is running successfully for last 35 years. Smaller network consisting of at-least 6 Stations have been deployed in India , Nepal and Bhutan. Most of these network is deployed in Himalayan Region. The founders have experience to deploying such seismical networks around nuclear power plants.

Seismic Hazard and Risk Assessment Studies

The founders of the startup i.e SHRI are having a vast experience site specific seismic hazard studies, more than 500 such studies have been carried out for India, Nepal , and Bhutan including dams, Nuclear Power Plants, Thermal Power plants, bridges and hospital. One of the founder was awarded A.S Arya IIT Roorkee disaster mitigation award 2012 for his Disaster for his disaster mitigation service.

International Relations

SHRI has represented worldwide in international conferences and the forums for Seismic Instrumentation. SHRI is a partner of San Lien International forum. SHRI has also discussed it's expansion with reftech Canada. The founders have visited more than 32 countries and represented SHRI at various technical forums.

Use of AI-Modern Techniques

SHRI has been working in close collaboration with IIT Roorkee and some of the MNCs and developing AI-Based algorithm for disaster warining system. Main Aim of this innovation consist of 1. Replacing regression equation with AI-ML techniques 2. Server based estimation to cloud computations, warning issuance to intelligent warning and adding the mitigation tools in real time.

Development of Cutting Edge Technologies

Experience in developing AI based, Large Scale Data intrinsic Applications, & programming, IoT/Deep Tech solutions and Embedded Systems. In warning systems, lead time is one of the important parameters which will be optimised by pushing all the calculation using EDGE technology to the sensor, using 6G communication system and replacing cloud servers.