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1 hour session (All Time Zones)
Presenter: Rahul Dubey
Time: 10-11am (GMT) 11am-12pm (CET) 3.30-4.30pm (IST)
Time: 10-11am (PST) 11am-12pm (MST) 12-1pm (CST) 1-2pm (EST)
This webinar will examine use of Edge AI for Industry 4.0, but it will be of interest to anyone considering the use of AI technology for constrained devices.
The webinar starts by presenting an Edge AI development methodology based on Cross Industry Standard Process for Data Mining (CRISP-DM). The development framework explanation includes recommendations on quality data acquisition. Next, the webinar discusses metrics to test model performance. Instead of developing a model from scratch, the webinar explains the use of transfer learning to create custom models. As most factory AI applications are real-time and secure, AI models are hosted on constrained devices located near the equipment or work cell.
The webinar discusses AI model quantization and API's for model inference. Two hypothetical edge AI based factory applications, predictive maintenance of machinery and work cell monitoring, are used in the webinar.
The webinar concludes with a brief explanation of how Edge AI is deployed to Industrial computers on factory floors or installed on remotely located edge devices, such as the RZ Family of MPUs from Renesas.
Rahul Dubey - Doulos Member Technical Staff will be presenting this training webinar, which will consist of a one-hour session (see below for details) and be interactive with Q&A participation from attendees.
Attendance is free of charge
If you have any queries, please contact firstname.lastname@example.org
Please contact Doulos to schedule a public course to suit you, or to discuss onsite training.