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FireVisor

FireVisor Is Creating Self-Aware Factories. Manufacturing is a 17.2 trillion dollar industry, creates 21% of all jobs in the world, and is the central engine of global economic growth. But today's factories are dumb. An army of human inspectors is needed to make sure no fault escapes the production line and an army of process control engineers constantly tweak and monitor machines. This is ridiculous, because the machines, on the other hand, produce an abundance of valuable data. However, the data is unused and simply gets discarded. It's so much data that humans are not able to analyze it. We want to make use of the mass of data to make factories self-aware.

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  • SNAPSHOT
  • Singapore
    2018
    Private
    < $10m
    < 10
    Open website
  • TECHNOLOGY STACK
  • FireVisor’s Tech Stack maps FireVisor’s participation in the IoT tech stack.
    • Application Layer
    • Functional Applications

    • Cloud Layer
    • Platform as a Service
      Infrastructure as a Service

    • Edge Layer
    • Automation & Control
      Processors & Edge Intelligence
      Actuators
      Sensors

    • Devices Layer
    • Robots
      Drones
      Wearables
    • Supporting
      Technologies
    • Analytics & Modeling
      Application Infrastructure & Middleware
      Cybersecurity & Privacy
      Networks & Connectivity
    Technological Capability
    None
    Minor
    Moderate
    Strong
  • IOT SNAPSHOT
  • FireVisor’s IoT Snapshot maps the range and focus areas of FireVisor’s IoT business across Technologies, Use Cases, Industries, and Services. Only categories with active products will be shown. Missing categories indicate that there is no activity in those areas.
    Technologies
    Automation & Control
    Automation & Process Control Systems
    Use Cases
    Visual Quality Detection
    Industries
    Renewable Energy
  • IOT SOLUTIONS
  • FireVisor Systems is committed to lead the cognitive automation revolution.
    Cognitive Defect Detection
    - HIGHLY ADAPTABLE: No re-implementation needed if specification or material changes as our Machine Learning models can learn changes themselves.
    - ABOVE HUMAN ACCURACY: Our models not only beat our competitors in accuracy but provide even more accurate results than human operators.
    - LITTLE DATA NEEDED TO GET STARTED:Get started with as little as 200 defect images.

    Cognitive Defect Analysis
    - Defect Localization Analysis: Engineers can analyze hundred thousands of defects in a single glance.
    - Defect Relationship Analysis: Frequent-set analysis finds out which defects occur together inferring relationship among different defect types.
    - Predictive Analysis: Data gathered from our analytics engine can be used to train our proprietary deep learning algorithm to perform prediction, reducing the troubles of unscheduled downtime and maintenance.

    Cognitive Monitoring
    AI enabled real-time Anomaly Detection highlights unusual defect rates. As the system is self-learning, no process engineer need to manually tune thresholds.
  • KEY CUSTOMERS
  • CASE STUDIES
  • HARDWARE
  • SOFTWARE
  • PODCASTS
  • MEMBERSHIP
  • INDUSTRIES
  • FUNCTIONS
  • SIMILAR SUPPLIERS
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    Baumüller
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