Articles

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Computer Vision Method For Counting Avenue Trees

As an initiative of iHub-Data at IIITH which is engaged in the collection of large-scale datasets which can be used for real life applications, researchers from IIITH unveiled a computer vision-assisted tool to count roadside trees and automatically generate maps showing extent of urban tree coverage. Know more

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Researchers at IIIT Hyderabad come up with new tool to count city’s trees

The researchers at the IIIT in Hyderabad under the initiative of iHub-Data have come up with a new method to scientifically count trees and generate density maps to denote the same. A ride across the city with a basic camera to record videos is all that is required to generate a tree count and density map within minutes. Know more

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Banking On Data: Tech Tales From The TiH Data Centre

An online testing solution to assess the cognitive impact of Covid-19; an autonomous driving platform with high-performance computing capability, a portable screening tool for early cancer detection; a mobile traffic-challan generating system – these are a few of the applied research prototypes from the data collection efforts of the Technology Innovation Hub housed at the International Institute of Information Technology Hyderabad (IIITH). Know more

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How IIITH’s AI initiative Is Driving Safe RASTE

Indian road safety got a shot in its arm with the recent unveiling of an AI solution that uses sensors and predictive analytics to warn of collisions even before they occur. The project titled iRASTE – Intelligent Solutions for Road Safety through Technology and Engineering – was launched in Nagpur by the Union Minister of Road Transport, Nitin Gadkari. Here’s a look at the IIITH connect with the initiative. Know more

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Move Over Glass Slides. Say Hello To Digital Images: IIITH’s MoU With NIMS To Digitally Disrupt Pathology

With the installation of a digital scanner at Nizam’s Institute of Medical Sciences (NIMS) to convert traditional histopathological slides into computerized images, IIIT Hyderabad takes the first step towards the creation of an Indian Pathology Dataset. Know more