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Solectrix SXVPU Intelligent Scalable Visual Processing Unit
Intelligent Solutions for Embedded Vision Applications in Industrial Vehicle Technology
Solectrix's SXVPU is an AI-powered imaging platform designed to address challenges such as object recognition and machine learning integration through efficient real-time processing of high-resolution video streams up to 4K.Using a proprietary AMD-based hardware architecture and supporting multiple cameras and sensors, the SXVPU uses high-quality image data from the sensors, processes it through neural networks or traditional algorithms, and then encodes the data for transmission over an Ethernet network, providing the perfect solution for visualization needs and vision applications in mobile automation.



Native support for deep learning models, AI inference directly within the unit, and seamless integration of neural network algorithms.

AMD Kria SOM enables AI computing efficiency of up to 10 TOPS per watt for high-density model inference. AMD

End-to-end video stream processing latency of less than 10 ms ensures real-time image analysis and decision-making capabilities.


Built-in Wi-Fi modules support independent network segments for quick deployment without wiring.

Supports H.264/H.265 encoding for high-resolution video transmission in Wi-Fi environments.

Wireless connectivity breaks the limitations of Ethernet for temporary surveillance and mobile operations.


Supports 5G NR for ultra-high bandwidth and low-latency remote transmission.

Combining AI gas pedals and 5G to enable rapid analysis and feedback from remote sites.

Adapts to harsh environments and ensures long-lasting, stable mobile network connectivity.


Multiple I/O interfaces can be configured to flexibly integrate various sensors and peripherals.

The modular design supports additional hardware acceleration components to scale up computing and I/O as required by the project.

The enclosure is available in IP65 or IP67 for a wide range of outdoor and industrial environments.


Includes SXVPU mainframe, 4 IP69k-grade HDR cameras, Ethernet and power cables, sturdy carrying case

3 Mpix @ 60 fps, 118° wide angle for high quality image capture.

The industrial-grade housing and shockproof design allow for field testing and rapid iteration.







Integration and protection of LVDS cameras

Independent and powerful monitoring functions

Personalized additional functions and controls
Clients:Mobile Automation - Robotics
Challenge:Customers are placing additional, cross-cutting demands on camera systems for hard real-time and image acquisition flexibility, including not only the integration of specialized cameras, but also precise control of exposure, shutter and other imaging parameters to achieve a comprehensive solution.
Solution: The SXVPU integrates and protects the LVDS camera and provides personalized additional functionality and control on the front end. This flexibility ensures reliable and stable image acquisition, allowing not only seamless integration of additional peripherals on top of the camera, but also direct implementation of complex image analysis, which significantly improves the overall performance of the system.


Integration and protection of LVDS cameras

Independent and powerful monitoring functions

Provide a protective layer
Clients:A construction machinery manufacturer
Challenge:Customers require secure and reliable personnel detection in demanding work environments. The solution should provide intrinsic security in image acquisition and latent neural networks without significantly increasing complexity.
Solution: The SXVPU integrates and protects LVDS cameras and provides powerful, independent monitoring capabilities outside of Linux with high reliability and device security based on AI. The system provides an easy-to-implement protection layer and simplifies error management.


Low-latency connection for up to 4 cameras

Optimized transmission within 10ms latency

Support for Multiple Use Cases
Clients:Industrial Vehicle Technology
Challenge:The customer needed an intelligent camera system that required minimal latency in video compression and AI processing, which was critical to their overall application. The system should support multiple use cases, either with a single high resolution sensor or multiple HD sensors.
Solution: The SXVPU can be used to realize low-latency connections between up to four cameras (total resolution of 8 MPix) and the device's built-in neural network. Latency-optimized transmission of compressed images over Ethernet can be achieved within 10 milliseconds after image acquisition. This ensures fast and accurate processing of image data, which is critical to meeting customer needs.


Provide customized platform

Multi-camera, multi-sensor, AI algorithm support

Track Control, Load Management, Travel Distance Detection
Clients:Agri-Tech Solution Provider
Challenge:The customer plans to expand its portfolio of intelligent control products to improve the efficiency or partially automate agricultural processes. The core mission was to enable precise trajectory control, load management and row spacing detection in a self-contained box.
Solution: SXVPU provides a customized platform that supports multi-camera, multi-sensor and AI algorithms. The system achieves the required accuracy and efficiency with its high flexibility in sensor selection and the ability to seamlessly integrate neural networks in separate boxes.


IP65 Protection Rating

High-performance, AI-based

Flexible and expandable
Clients:Logistics Automation - AGV/AMR
Challenge:The customer was looking for a high-performance, AI-based computer vision solution that was IP65 rated, capable of meeting the demands of a wide range of environments, ruggedized, and flexible for expansion.
Solution: The SXVPU provides an optimal solution with support for up to four cameras, Gigabit Ethernet (GbE) connectivity, EtherCAT expansion, Profibus bus and real-time options. As a result, customers can use the IPC in various environments such as smart city/industry, traffic management, logistics automation and industrial vehicles.

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