11th May 2021, online@Vimeo

 

AI4DI partners held the 3rd Webinar of the project, presenting the consortium’s work in the realm of AI for Smart Food and Beverage Production.

Food processing is one of the critical revenues generating sector for a majority of the developed and developing economies, and the implementation of IoT/IIoT and robotics solutions in the industrial sector has supported overcome critical issues related to production and execution by eliminating the possible chance of human errors while reducing the redundancy in work being performed by manual labour. AI can fuel innovation in production and packaging to reach consumer expectations regarding its quality and its associated impact on the cost. To attain the potential trade-off between quality and price, industry stakeholders actively leverage the potential of AI across various applications, such as product design, quality control, maintenance, and consumer engagement, among others.

The AI4DI Webinar no3: AI for Smart Food and Beverage Production was designed to present the AI techniques and methods applied to different applications in the food and beverage industry developed by AI4DI project partners. The Webinar includes presentations from other national and European projects.

 

  • AI4DI Industry Sectors and Applications

    AI4DI's mission is bringing AI from the cloud to the edge and making Europe a leader in silicon-born AI by advancing Moore's law and accelerating edge processing adoption in different industries through reference demonstrators.
  • Automotive

    • AI-based logistics solutions
    • Assembly Process Optimisation
    • Autonomous Reconfigurable Battery Systems
    • Virtual AI Training Platforms
    • Autonomous Mobile Robotic Agents
    • Predictive Maintenance via Digital Twins
  • Semiconductor

    • AI-based Failure Modes and Effects Analysis Assistants
    • Neural Networks for predicting critical 3D Dimensions in MEMS inertial Sensors
    • Machine Vision Systems developed in the Wafer Inspection Production Line
    • Semiconductor Wafer Fault Classifications
    • Automatic Inspection of Scanning Electron Microscope Cross-Section Images for Technology Verification
    • Anomaly Detection on Wire Bond Process Trace Data
    • Optical Inspection
    • Wood Machinery with the Perception of the Surrounding Environment
    • Intelligent Robot Applications
  • Food and Beverage

    • AI-based environmental monitoring
    • Autonomous Environment-Aware Quality Control Systems for Champagne Production
    • Production Process Optimisation and Predictive Maintenance for Soybeans Manufacturing
  • Transportation

    • Mobility-As-a-Service Development of AI-based Fleet Management for Supporting Multimodal Transport.

Make Europe the leader in Silicon-Born-AI for accelerated edge processing

Accelerate the Artificial Intelligence (AI) adaptation to serve European priorities in the digitizing of the industry
Maximize the benefits of Moore’s Law and More Moore, and revive Moore’s Law beyond the current technology
Deployment plan showing how to develop and valorise the AI technology
Build AI community in Europe which is complementary with other initiatives
Build and sustain dynamic AI technology an ecosystem in Europe ensuring ethical clean an trusted AI for safety critical real time applications
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