Intelligent sorting for higher muesli quality

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Speaker Stephan Strelen
Stephan Strelen

Strelen Control Systems GmbH

The Future of Farming and Food processing - AI in Food- and Farm- Automation

Thumbnail of Vision Channel Session “Artificial nose in smart farming” by Genie enterprise
Artifical nose in smart farming

Examples will be used to present trends and possible uses of data, sensors, cameras and artificial intelligence in the field of smart farming.
24:14
Thumbnail of Vision Channel Session “Intelligent sorting for higher muesli quality” by Strelen
Intelligent sorting for higher muesli quality

A hyperspectral camera can distinguish a brown shell from a brown nut in seconds and send a signal for the foreign body to be ejected.
28:33
Thumbnail of Vision Channel session ‘Proof of concept in AI vision - xciting easy’
Proof of concept in AI Vision - XCITING Easy

In this talk we will show how easy and fast it can be to get a neural network to run and evaluate if your application can be solved with AI.
19:32

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Thumbnail of the IDS Vision Channel video How to use AI-based inference with IDS peak.
How-To use AI-based inference with IDS peak

Would you like to integrate AI- based image analysis into an existing application without the need for special intelligent cameras or having to familiarise yourself with AI-based image processing?
11:41
Thumbnail from Vision Channel Session “Reliable AI vision works without environment adjustments”
Reliable AI vision works without environment adjustments!

Reliable image processing usually starts with a perfectly staged object environment to ensure stable and reproducible camera images.
18:52
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Build & Deploy AI-based machine vision systems

The use of machine learning operations in image processing applications makes it possible to solve tasks that were previously difficult or only possible with a great deal of effort.
24:41
Thumbnail from Vision Channel Session “How to - Deep-OCR with DENKnet”
How-To read any text reliably with DENKnet OCR

Would you like to know how reliable machine reading of any type of character string is possible?
22:24
Thumbnail of Vision Channel Session “How-to best create an IDS lighthouse dataset”
How-To best create an IDS lighthouse dataset

Let's talk about datasets and what needs to be done to get the best results for AI vision applications!
13:51

Knowledge base

Room with parquet floor and IDS NXT camera on multi-layer parquet floorboards

Perfect parquet floor

Testing the glued joints of multi-layer parquet with the help of the AI-based all-in-one vision system IDS NXT.
Play "rock, paper, scissors" against a vision app as an AI opponent

Robot plays "Rock, Paper, Scissors" - Part 2/3

Part 2 of our follow-up story deals with the further processing of the recognized gestures using the vision app as an AI opponent.
An IDS NXT camera checks the completeness and quality of apples in packaging on a conveyor belt.

Detecting, sorting, counting

Intelligent embedded vision systems simplify the integration of AI vision not only for experts, but also for citizen developers.
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