Smart eXtensible Vision Processing Unit
The intelligent solution for embedded vision applications in industrial vehicle technology.
From lab to field – proven by AMD
SXVPU is an AI-powered imaging platform designed to tackle challenges like object recognition and machine learning integration through its efficient real-time processing of high-resolution video streams up to 4K.
With its specialized AMD-based hardware architecture and support for multiple cameras and sensors, SXVPU is set up to use impeccable image data straight from the sensor for processing by neural networks or conventional algorithms before encoding the data for transmission via Ethernet.
The result is a perfect solution for viewing and vision applications in mobile automation.
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More InformationApplication Examples:
Features:
AI Development Support:
System Performance
Customizable HW
Expandable SW + Intelligent Apps
Optional Bird’s-Eye View Application
Supported Standards
Provisioning & Storage
The firmware is encrypted with a symmetric key that is itself wrapped using a device-unique PUF, so only PUF-bound, encrypted artifacts are stored in non-volatile storage. They are unusable on any other device.
Boot & Trust
During boot, the PUF reconstructs the key to decrypt and execute the firmware, making the PUF the root of trust and ensuring that plaintext keys and code exist only transiently at runtime.
An AI-accelerated model that offers seamless integration of neural networks for AI vision applications. More information
A wireless system variant for use within a Wi-Fi network that meets the need for isolated operation. More information
Contents
With its flexible concept, SXVPU can be employed in a large variety of applications. Here are some practical examples for its use:
Project: Protected AI – Supervision of Construction Sites and Work Environments
Challenge:
The customer needs a safety-relevant and reliable person detection in demanding work environments. The solution should provide intrinsic safety regarding image acquisition and the potential neural network without substantially increasing the complexity.
Customer:
Manufacturer of construction machinery
Project: Smart Robotics Front-End for Automation
Challenge:
The customer has additional, crosscutting requirements for a camera system regarding hard real-time and flexibility of image acquisition. This goes beyond the integration of special camera heads, also concerning the precise control of exposure, shutter and further imaging parameters in the front-end in order to realize a comprehensive solution
Customer:
Mobile Automation – Robotics
Project: Lowest Latency Imaging for Real-Time Processing
Challenge:
The customer needs an intelligent camera system with minimum latency regarding video compression and direct connection to an AI, which is crucial for his overall application. Several use cases shall be supported, utilizing either a single high-resolution sensor or multiple HD sensors.
Customer:
Industrial vehicle technology
Project: Agricultural Automation – Improving Efficiency through Intelligent Control
Challenge:
The customer plans to expand his portfolio with intelligent controls to improve the efficiency of agricultural processes or to realize their partial automation. A central task consists of implementing controls for precise trajectory control, loading management, and row detection in a self-sufficient box.
Customer:
Agricultural technology
Project: IP65-based IPC for Machine Vision
Challenge:
The customer is looking for a high-performance AI-based computer vision solution with IP65 protection that meets the requirements for various environments, that is robust and can be expanded in flexible ways.
Customer:
Logistics automation – AGV/AMR
SXVPU is a registered trademark of Solectrix GmbH. All other trademarks are the property of their respective owners.
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