KOMSYA

KOMSYA

Created using Figma
Created using Figma
what, if we create machines able to predict? real-time event response technology based on fog computations is about to be implemented (Faceter), but what if we go a step further and teach cameras to respond to upcoming events? this will take security to a new level
1 jun. 2020
30 jun. 2020
100% terminado
Fondos recaudados - sin datos
past
Detalles del token
Corazón
KSY
Detalles de la compañía
País registrado
Russia
Detalles adicionales
Plataforma
Ethereum
Categorías
Plataforma

Acerca de KOMSYA

Global safety concept

Global widespreading of robots may lead to better safety of our lives.

I have invented a way of
keeping our lives in safety,
based on real-time immediate actions
by robots to proper situations,
and in future, on reaction
to ongoing events.

1 stage:

For a really fast reaction of robots to events
widespreading of them is required.
In every home, on the streets after each 20 meters,
in municipal buildings... Time after time such widespreading
will become possible. A relative cheapness of such a robots,
simplicity of construction, ergonomics and so on may help to this.

How does this system work, how do robots in action?
Fast reaction of robot means immediate action.
For example, imagine such situation:
one man is going to hit another. A robot,
while staying in a "waiting mode" statement,
becomes immediately active, moving towards them
and gets a hit on itself.

Robots may react to almost every non-juridical action
or an action, which may harm a person:
home violence,drug dealing and so on...

2 stage:

On this stage in case of safety reasons
a prediction takes its role and robots
begin to react on events which are just
going to happen. Global predictions system will
send each robot an instruction, which will explain
what actions are needed to be done
to avoid something dangerous.

Información técnica

Cameras, video, artificial intelligence

There are 3 options for configuring the program to display the prediction.

First option.

You manually connect a camera or cameras that you have or can connect to to the program.
It begins to model the prediction in real time.
Real-time prediction.
At first it's just the outlines of faces.
More precisely, not outlines, but 3D models.
Or you can configure it so that you can view a ready-made prediction.

Second option.

You upload a video, after analyzing it, the program should show you a prediction.

Third option.

A trained neural network or an entire artificial intelligence will choose and search for the information it needs for the most accurate prediction.
You only need to set the parameters.

KOMSYA Equipo

Verificado 0%

Atención. Existe el riesgo de que los miembros no verificados no sean realmente miembros del equipo

Artem Osipov
CEO
inconfirmado
  • Debido a que puede haber diferencias de tiempo en las actualizaciones de información, la información precisa sobre cada proyecto ICO debe verificarse a través de su sitio web oficial u otros canales de comunicación.
  • Esta información no es una sugerencia o consejo para invertir en fondos de la OIC. Por favor, investigue a fondo la información relevante y decida la participación de la OIC.
  • Si cree que hay problemas o correcciones a corregir en este contenido, o si desea enviar su propio proyecto ICO para que aparezca en la lista, por favor envíenos un correo electrónico.
Lea la exención de responsabilidad y la advertencia de riesgo. Mostrar descargo de responsabilidad y advertencia de riesgo.