inVISION Days Day 2: Embedded Vision & AI
Bild: ©Abdul-Qaiyoom/stock.adobe.com
30.11.2022
09:15Uhr (MEZ)
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'.
Moderation:
Dr.-Ing. Peter Ebert
EMVA
Keynote: Vision in the Digital Lifecycle: Evolution & Opportunities
Vecow / Plug-In
Smart Edge AI Solution Accelerates Comprehensive Deep Learning Applications
Elunic
When to Start with AI and how to project?
Euresys
Modular Deep Learning libraries allow the implementation into embedded solutions
Maddox AI
The Implementation Gap: Why only few companies use AI-Based inspection systems
Euresys
Off-the-shelf FPGA IP cores for cameras and embedded vision
Lucid Vision
The Advantages of JupyterLab for Machine Vision
Matrix Vision
Performance boosting – The easy way with PCI Express camera modules
Xilinx
Easy Implement a 10GigE Vision Camera Application on a Robotics Starter Kit
Wenglor
B60 SmartCamera – Parameterization meets Programming
B&R
Integrated Machine Vision – Eyes of the production. Maximum Output without Downtime
Baumer
Easy to use smart cameras for AI and Industry 4.0
Sensopart
AI Technology in a Vision Sensor
36Zero Vision
Thema des Referenten wird noch bekannt gegeben
DenkWeit
Thema des Referenten wird noch bekannt gegeben
Eigen Innvations
Thema des Referenten wird noch bekannt gegeben
Lakera
Thema des Referenten wird noch bekannt gegeben
Synsor
Thema des Referenten wird noch bekannt gegeben
Phytec, EMVA, Sick, Brighter AI
How fast do we need Security for Machine Vision?
Hallo
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Event-Videothek
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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 der inVISION days: ©sanee/stock.adobe.com
