international hackathon on AI in energy sector
Registration is closed
Online Format | Free participation Fee
December, 15 Start date
Online Format | Free participation Fee | December, 15 Start date
Online Format | Free participation Fee | December, 15 Start date
Online Format | Free participation Fee | December, 15 Start date
Online Format | Free participation Fee | December, 15 Start date
WINNERS
1st place
Team «Yes, he did not die at the end of the drive»
2nd place
Team «Narek Maloyan»
3rd place
Team «Misis again»
The reliability of electrical networks depends on the presence and condition of insulators. The goal of the hackathon is to develop a machine and deep learning algorithm to detect the absence of glass disc-type insulators in garlands of insulators on power lines.
Hackathon participants will have to create an algorithm that will automatically detect cases when an insulator is missing from a garland based on RGB images.
Purpose of hackathon
Students
of Data Science
and similar majors
Who can participate
Experts in Data Science,
Deep Learning, Computer Vision,
Image Retreival, ML
Format
Online
Start date
December, 15
Fee
Free participation
Hackathon runs
December, 15-25
PRIZE FUND
700 000 ₽
1ST PLACE
350 000 ₽
3RD PLACE
100 000 ₽
2ND PLACE
250 000 ₽
Hackathon programme
Hackathon opening. Teamwork commences
End of hackathon. Deadline for the acceptance of design decisions until 23:59 (Moscow time)
Final results and award ceremony
Registration is closed
december 15
december 24
december 25
Experts, speakers, judges
Rinat Misbakhov
Head of the Energy Center at Innopolis University.
15 years of experience in creating new solutions in energy and power engineering - from engineer to vice-rector for science.
He created the Engineering Center "Computer Modeling and Engineering in the Field of Energy and Power Engineering." The center entered the top 5 best engineering centers in Russia.
Doctor of Science, Professor
Speaker, judge
Head of the "Digital Modeling" direction at the Energy Center of Innopolis University. 17 years of experience in developing innovative solutions for diagnosing and monitoring the condition of critical infrastructure elements. Successful implementation of commercial projects for Rosseti, Inter RAO, Gazpromneft, Grid Company, Tatneft worth more than 200 million rubles.
Doctor of Science, Professor
Speaker, judge
Georgy Vaganov
Ibragim Mergaliev
Leading programmer-mathematician of the Product Development Laboratory in the field of artificial intelligence in industry, Innopolis University. Team lead for the development of computer vision algorithms based on remote sensing data. Winner of the hackathon ANO "Russia the Land of Opportunities".
Judge, expert
Anton Egorov
Leading programmer-mathematician of the Product Development Laboratory in the field of artificial intelligence in industry, Innopolis University. Instructor and ex-head of Data Science at Sber University, ex-Data Science at Huawei and Ozon Tech. Graduate of Skoltech and Carnegie Mellon universities.
Judge, expert
Emil Sharifullin
Project Manager at the Product Development Laboratory in the field of artificial intelligence in industry at Innopolis University. More than 2 years of experience in developing AI-based products to solve industrial problems.
Speaker
international hackathon on AI in energy sector
Contacts
If you have a question about participation,
please contact the coordinator Lilia