Hack2See
Development of an algorithm for searching the distance to a recognized object from video
December 8, 2023 – December 25, 2023
Online format | Free participation | Prize fund: 500 000 rubles
1st place
WINNERS
The "Nosotros" team. Fail' Farkhshatov
2nd place
The "P&Daria" team. Nikita Votintsev, Daria Votintseva
3rd place
The "CHSU Applicants" team. Sergey Shcherbakov
LIST OF PARTICIPANTS
The goal of the hackathon is to detect and find the distance to potential obstacles and dangerous areas in the pedestrian environment in the city.
Effective solution of this problem can be further used to develop robotic systems designed to participate in pedestrian environments, as well as assistive technology for visually impaired people. Accelerometer and gyroscope recording data is provided with the video.
Effective solution of this problem can be further used to develop robotic systems designed to participate in pedestrian environments, as well as assistive technology for visually impaired people. Accelerometer and gyroscope recording data is provided with the video.
Hackathon's goal
Prize fund
500 000 rubles
First place – 250 000 rubles
Second place – 150 000 rubles
Third place – 100 000 rubles
Second place – 150 000 rubles
Third place – 100 000 rubles
Students and experts in physics, mathematics and technology.
Participation age: from 16 years old.
Teams of 1 to 6 people can participate
Participation age: from 16 years old.
Teams of 1 to 6 people can participate
Who can participate
Opening of the competition
December 8
HACKATHON PROGRAM
Installation webinar
December 14
Webinar with expert. "Stereovision with monocular cameras"
December 18
Change of the test dataset in competition
December 21
Closing date for acceptance of solutions
December 24
Final results and closing ceremony
December 25
Andrey Novikov
Ph.D., architect at University of Innopolis, research domain Digitalization of mathematical models and intelligent data processing systems, Federal State Budgetary Institution Institute of Mathematics named after. S.L. Soboleva SB RAS, Assitant Professor at Innopolis University.
Irina Nikolaeva
Lead data scientist, head of the machine learning R'n'D department at Raft Digital Solution.
Ramil Zainulin
Machine learning specialist at Social Map LLC, Face2 team in the area of computer vision in biometrics.
Alexey Rog
Andrey Berezhnoy
Head of software development at the Laboratory of Experimental and Cellular Medicine at MIPT, specialist in in silico research of excitable systems.
Specialist in the field of data science, leading analyst at the artificial intelligence technology center at Gazprombank. Co-author and teacher of a course on computer vision at MIPT.
Jury members, speakers, experts
Ilya Osokin
Lead engineer, instructor of algorithms and computer vision at MIPT, developer of computer vision for competitions in robotics
Contacts
There is no design without discipline. There is no discipline without intelligence.
Autonomous non-profit organization of higher education
"Innopolis University"
420500, Innopolis, Universitetskaya, 1
"Innopolis University"
420500, Innopolis, Universitetskaya, 1
Moscow Institute of Physics and Technology
(national research university)
141701, Moscow region,
Dolgoprudny, Institutsky lane, 9.
(national research university)
141701, Moscow region,
Dolgoprudny, Institutsky lane, 9.
Research Center for Applied Artificial Intelligence Systems
141701, Moscow region,
Dolgoprudny, Nauchny lane, 4, building 1. Phystech.Tsifra building
141701, Moscow region,
Dolgoprudny, Nauchny lane, 4, building 1. Phystech.Tsifra building