Parent Interventions: Take a Deep Breath! Treating Anxiety in Kids  |  Policy Indications: Parenting Programmes to Prevent Abuse and Neglect in Children  |  Technology Inceptions: Entangled Relations can be now Understood by Artificial Intelligence!  |  Science Innovations: Exposure to Deep Red Light improves Eyesight  |  Health Monitor: Another Mutated Variant of Covid-19 is on its Way!  |  Policy Indications: Survey Finds that Digital Workspace becomes Top Tech Priority in Education  |  Technology Inceptions: Strong Soft Materials are on the Move!  |  Rajagiri Round Table: Learning Through Games-Art and Science of Serious Games  |  Science Innovations: How Nucleoli Exist as Stable Droplets within the Nucleus?  |  Career News: Indian School of Business Inviting application for Aspiring Entrepreneurs  |  Health Monitor: Early Diagnosis and Treatment of Autism Spectrum Disorder Effective  |  Health Monitor: “School Meal Coalition” an Initiative by the UN  |  Policy Indications: WHO’s #HealthyAtHome Challenge for Students  |  Science Innovations: Another Planet Discovery!  |  Higher Studies: Hebrew University of Jerusalem's International Med-Tech Innovation MBA  |  
February 03, 2020 Monday 03:19:18 PM IST

Intel AI to Count Antarctic Penguins

Science Innovations

Gramener, an Intel AI Builder member and data science company has come up with a new crowd counting solution to study penguin populations in the Antarctic. Penguins face the serious threats on unprecedented breeding issues for the past three years. This coupled with climate change issues may result in the disappearance of penguins by the year 2100. The Gramener solution uses images from over 40 locations and uses a density-based counting approach to approximate the number of penguins in clusters of different sizes fro the images.

In partnership with Microsoft AI for Earth, Gramener researchers trained a deep learning model to count the penguins. This solution has been repurposed and benchmarked on Intel Xeon Scalable processors and the Intel Optimization for PyTorch for optimized performance. This solution could help researchers overcome challenges in manually counting penguins from camera traps, which can be tricky due to perspective distortion, penguins standing too close together or clustering, and diversity of camera angles.


Comments