9:15 AM (CET)
Embedded Vision and AI are currently one of the trend topics. The second day of the inVISION Days Conference will provide an overview of current developments in AI & Deep Learning, introduce new embedded vision products such as camera modules and report on smart (AI) cameras. The panel discussion will address the question 'Security for Machine Vision'.
Dr.-Ing. Peter Ebert
Companies: Vecow Co. Ltd., Elunic, Euresys, Maddox AI
Session 4: AI & Deep Learning
Companies: Sensor to Image, Lucid Vision, Matrix Vision, AMD Xilinx
Session 5: Embedded Vision
Companies: Wenglor, B&R, Baumer, Sensopart
Session 6: Smart Cameras
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Welcome to Day 2
Keynote: Vision in the Digital Lifecycle: Evolution & Opportunities
Panel Discussion: How fast do we need Security for Vision Applications?
SESSION 4 AI & Deep Learning
Smart Edge AI Solution Accelerates Deep Learning Applications
When to Start with AI and how to project?
Modular Deep Learning Libraries for Embedded Vision Solutions
Why only few companies use AI-Based inspection systems
SESSION 5 Embedded Vision
Off-the-shelf FPGA IP Cores for Cameras and Embedded Vision
The Advantages of Jupyterlab for Machine Vision
Performance boosting – The easy way with PCI Express camera modules
Implement a 10GigE Camera Application on a Robotic Starter Kit
SESSION 6 Smart Cameras
New Smart Camera – Parameteri zation Meets Programming
Integrated Machine Vision – Maximum Output without Downtime
Easy To Use Smart Cameras for AI and Industry 4.0
AI technology in a vision sensor
EMVA Vision Pitches
EMVA Vision Pitches – Part 3 + 4
Thumbnails of the inVISION days: ©sanee/stock.adobe.com