En Ru
Video monitoring system for fish weight assessment
Partner: Innopraktika Company
Progect team
Сontacts
Problem
Currently, fish farms weigh only 1/10 of the population when monitoring fish weight. This creates the risk of obtaining inaccurate data on the total biomass. Also, weighing fish takes a lot of time, which does not allow for prompt data collection. It is important to note that fish weight is an important indicator for fish farms, since it is used to calculate fish feeding, and feed is ⅔ of the cost of fish.
Solution to the problem
The system works as follows:

  • Aquarium with camera

    An installation consisting of an aquarium and a camera. The camera films fish in real time and transmits data to the neural network.

  • Software
    The YOLO 11 neural network detects fish and limits them to their boundaries and transmits the information to the database.
  • Database
    The database structures the received information and sends it to the Telegram bot upon request.
  • Telegram bot
    The main functionality of the bot is to display information about the general condition of the fish.

  • Users
    The user requests data from the bot about:
    • Calculation of the average mass at the current moment.
    • Absolute change in mass over a given time interval.

Try our Telegram Bot

Our Telegram bot
Target audience
Our target audience is fish farms engaged in the cultivation, reproduction and sale of fish.
Innovativeness of the solution
It involves the use of machine vision for weighing fish, which speeds up production processes and also provides contactless weighing in real time.
Using computer vision
Our system uses new machine learning technologies.
Non-contact weighing
The system allows you to find out the weight without physical contact with the fish.
Continuous monitoring of fish mass changes
The system operates on a continuous basis, transmitting information in real time.
Our Team
The project team includes:
  • Серянина Софья
    Database Developer
  • Медведев Илья
    Programmer of Telegram bot
  • Чурбанова Мария

    Team lead, analysts, ichthyologist, designer

  • Алешкин Максим
    Machine Learning Specialist
  • Сесюгин Захар Дмитриевич
    Representative of the company Innopraktika
  • Кривошеев Дмитрий
    Михайлович
    Representative of the company Innopraktika
  • Герасимчук Михаил
    Юрьевич
    Teacher
  • Самбук Владислав
    Олегович
    Teacher

Posts and news about our project:

Watch Sirius post about our development
Watch the post about the direction Advanced Manufacturing Technologies
Watch the Vkontakte clip about our system
Watch the post in the online fish production magazine about us
Watch for fish detection
We are in touch with you!
Email: innopraktika.sirius@mail.ru
Краснодарский край, ПГТ Сириус, Олимпийский проспект 40