SICK Nova

Machine vision made easy

Your Benefits

  • Automated quality analysis to improve production yield and speed – allow more fulfilling assignments for staff
  • Reliable inspections to reduce waste and avoid production downtime
  • Support for delivering high-quality products to ensure customer satisfaction
  • Advantages from using traditional rule-based tools in combination with on-device AI deep learning
  • Swift solution for special inspection needs through use of plug-in tools
  • Capabilities for creating customized solutions
  • The supported SICK vision sensors fit various performance needs

Overview

Machine vision made easy

SICK Nova is the foundation software for configurable machine vision solutions in a broad array of industries and quality control applications. Featuring a user-friendly web interface and AI capabilities, SICK Nova supports experts and non-experts alike so they can quickly and easily handle even the most challenging applications. SICK Nova runs on a multitude of 2D and 3D vision sensors as well as LiDAR sensors, leveraging different imaging technologies. Moreover, users can conveniently extend the software’s functionality with both user-developed and ready-made SICK Nova plug-ins. With this kind of scalability, SICK Nova is a safe choice that ensures cost-effective ownership.

At a glance
  • 2D and 3D machine vision inspection applications
  • Tools for presence, measuring and quality inspection
  • AI capabilities for complex object and defect detection, finding, sorting and counting as well as classification tasks
  • Quick customization and addition of SICK Nova plug-in tools
  • Runs on a wide range of SICK vision sensors
  • Easy-to-use interface in web browser

Applications

Technical overview

 
    Technical data overview
    Task

    Train neural networks to classify images and to recognize and localize objects. Annotate and manage the necessary training images.

    Preparation and management of training images. Collaborative and AI-supported annotation of images. Training of artificial neural networks. Processing and analysis of images based on artificial neural networks to solve complex automation tasks.

    Technology

    2D snapshot

    Image analysis

    3D laser triangulation

    3D snapshot

    2D LiDAR

    Language

    English

    German

    French

    Italian

    Spanish

    Japanese

    Korean

    Chinese

    Operating system

    Windows 10 (64 bit)

    Linux Ubuntu (64 bit)

    Required disk space> 360 MB for installation, depending on the application
    Supported products

    InspectorP61x

    InspectorP62x

    InspectorP63x

    InspectorP64x

    InspectorP65x

    Inspector83x

    Inspector85x

    SIM2x00 + picoCam2 / midiCam2

    Each industrial PC + Ruler3000 + SICK AppEngine (x64)

    SIM2x00 + Ruler3000

    Visionary-S AP

    Visionary-T Mini AP

    SIM2x00 + LMS4000

    InspectorP series

    SIM2x00

    SICK AppEngine

    Minimum screen resolution

    1,366 px x 768 px

    512 px x 424 px

    Supported browsers

    Google Chrome (version 80 or higher)

    ≥ Chrome 60 (recommended)

    ≥ Edge 12

    ≥ Internet Explorer 11

    ≥ Firefox 50

    ≥ Safari 11

All technical data can be found accompanying the individual product