08.03.2022

AI-based image recognition - use in the corporate context

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Start
Tu. 08.03.2022
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Time
10:00
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Venue
Online
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Target group
Beginners

The event is aimed at SMEs interested in the use of AI-based image recognition. A short introduction to the topic will be given and based on this, methods for the recognition of components and assemblies will be presented within two hands-on live demonstrations. In addition, an application example will be presented that shows how the combination of deep learning methods and robotics can be used for inline inspection of injection molded parts. The event will provide impetus for the wide range of possible applications of the methods presented and show how possible hurdles to implementation can be overcome.


Event Objective:

  • To provide a basic understanding of AI-based image recognition.
  • Practical presentation of application examples for SMEs, especially in the field of AI-based recognition of components and assemblies and inline inspection of injection-molded parts
  • Pointing out challenges and limitations
 

Agenda:

  • Brief explanation of fundamentals of AI-based image recognition.
  • Demonstration of a component recognition demonstrator for accelerating manual sorting processes
  • Demonstration of a demonstrator for image classification of assemblies for error minimization in picking processes
  • Presentation of an application example in the field of robotics and deep learning in the field of inline inspection of injection molded parts
  • Exchange and discussion
   

Notes: Please note that your registration data will be exchanged with each other due to the cooperation and therefore accompanying public funding of the centers. Your data will not be passed on to third parties and will only be used in the context of the event. Only register for the event if you agree to this.

All registered participants* will receive the dial-in data as well as supplementary technical information one day before the event. No specific technical equipment is required for participation.