Complete machine vision solutions:
FPGA + Image sensors + AI & software
Machine vision (MV) and artificial intelligence (AI) provide critical inspection and analysis capabilities to a wide range of leading edge applications that are experiencing strong growth. The global machine vision market will reach $18.25 billion USD by 2025 with a CAGR of 7.7%.
Choosing the right technology partners like EBV, Xilinx and ON Semiconductor for your next machine vision innovation optimizes efficiency, mitigates potential risks and maximizes profit potential. This partnership will deliver unmatched support in establishing the necessary framework of hardware components and software that provides vision algorithms, camera interface standards, advanced analytics, artificial intelligence (AI) and machine learning.
Together, we’ll accomplish more and improve business outcomes.
Application notes
Building the hardware
Imaging solutions project objectives:
Learn how to build the hardware design by using the 96Boards ON Semiconductor Dual Camera Mezzanine with the Avnet Ultra96V2 board.
Imaging solutions project objectives:
Learn how to build the embedded Linux solution by using the 96Boards ON Semiconductor Dual Camera Mezzanine with the Avnet Ultra96V2 board.
Imaging solutions project objectives:
Learn how to leverage Xilinx Vitis HLS to implement image processing algorithms using C / C++ algorithms.
Webinars: Join us as we discuss informative topics.
Registration is FREE.
Top Challenges in Developing Industrial Vision Systems
You will learn:
- Challenges of industrial Image processing
- Sensor Selection Criteria
- Benefit of Programmable Logic for Image Processing
Accelerating Industrial Imaging Design and Performance
You will learn:
- Working with high level frameworks
- What is Vitis Acceleration Flow
- How can we leverage the Vitis Vision libraries and Vitis AI
Integrating industrial Imaging applications with Cloud Solutions
You will learn:
- How do we interconnect the Industrial Imaging system with the world
- Security considerations
- Working with commonly used cloud solutions
