VISION TOOLS INDUSTRIAL A.I. SOLUTIONS

VISIONTOOLS

REBOTNIX VISIONTOOLS is a multiuser application for creating AI based visual models. The software allows the creation of projects, management of millions of datasets. users can work together on the models regardless of their location. In addition, there is a multi-tenancy capability to distribute individual users with rights to different projects.

Features

  • Project management
  • User management
  • Internal labeling tool
  • Inferencing AI model testing
  • Unlimited training of models
  • Database included
  • Export models for edge computing on NVIDIA Jetson
    • Inference engine for Jetson NANO, NX or AGX
  • Running onpremise or in the cloud
  • VPN (virtual private network) support for decentralized co-working
  • Runs on every modern browser like Google Chrome or Firefox

Hardware requirements for Intel x86/64 bit

  • Ubuntu 18.04 LTS or sever
  • NVIDIA GPU at least 11 GB of GPU RAM (FOR TRAINING)
  • Intel CPU x86 / 64 Bit at least 2.6 GHz or higher
  • Installed CUDA 11.x or higher, CUDNN 8 or higher
  • 10 GB of free disk space

Hardware requirements for ARM 64

  • Ubuntu 18.04 LTS or sever
  • NVIDIA Jetson NX or AGX ( For VISIONTOOLS Management)
  • NVIDIA Jetson NANO, TX2 NX, NX, or AGX for inferencing
  • 10 gigabytes of free disk space (installed SSD / Solid-state disk) recommend

VISIONTOOLS LOGIN INTERFACE

VISIONTOOLS works decentralized through its own VPN tunnels. Via targeted entries in a nameserver, the application behaves like any other internet web page. The difference is that only the users who are in the virtual private network zone with their clients have access to this domain. It is possible to deny each client access to the VPN gateway, as well as through the user guidance in the REBOTNIX VISIONTOOLS.

VISIONTOOLS PROJECT MANAGEMENT

This ist the main login page that you see when you open the main page. The application works in any modern browser, worldwide. Every login is secured thru https.

VISIONTOOLS TRAINING OVERVIEW

The train overview page shows you an overview of all models that were trained in the company. If you have installed the energy plugin, you will also get information about the co2 impact, the total cost measured by the electricity consumption per kilowatt hour. The values are customizable for each electricity provider. Co2 load values are calculated with an overhead of the efficiency of the respective installed GPU and CPU.

VISIONTOOLS STATE OF THE ART NEURONAL NETWORKS

A created data set can be trained to a ki model or different models at any time. Many models can be added to each project. Also from other projects the trained models can be tested or validated on any dataset.

CONTACT US FOR PRICING

Your Name (required)

Your Email (required)

Subject

Your Message

OUR CUSTOMERS