Developing IoT Embedded Vision Systems: Mastering the Top 3 Challenges
The evolvement of IoT and advances in embedded vision technology are enabling the emergence of intelligent applications and services. Generating massive amounts of data, deploying Machine Learning modules on the edge for image processing, seamlessly interacting with the cloud – the possibilities seem to be endless. At the same time, the implementation of an embedded vision architecture with integrated IoT services is very complex.
Webinar Description:
Basler identified the top three challenges when developing an IoT embedded vision system for Machine Learning-applications. In this webinar find out how Basler and AWS have bundled their competencies in the field of computer vision, Machine Learning and IoT to tackle these challenges and overcome the complexity. Insights will be given on how an optimized embedded vision architecture can be realized for the deployment of ML-models from the AWS cloud to the edge device, enabling developers to start prototyping their smart, connected vision applications quickly.
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