Multi-Camera Tracking for Real-Time Prediction
AMD Zynq UltraScale+ Plus-based vision system platforms for multi-camera tracking and real-time prediction. Get the full picture in our white paper!
Finding the needle in the haystack should be as efficient as possible.
Our new AMD Xilinx Zynq UltraScale+ Plus based MicroTCA platform for vision applications is predestined for such applications! The new NATvision platform features at a glance:
- Up to 48 high-speed, high-resolution cameras
- 1 GbE up to 100 GbE throughput per camera
- Configurable AI logic executed by the FPGA’s hard real-time capabilities
- Compatible with any higher-level vision and AI stack
- Modular MicroTCA design for maximum flexibility
Get a complete picture of the benefits of FPGA-based multi-camera tracking for situational awareness and real-time predictions:
Why vision data processing with FPGAs?
FPGA logic allows SoCs such as the Zynq UltraScale+ Plus to be highly programmable. Image processing algorithms and AI inferences, as well as any communication protocol, can be implemented with highest precision. The result is an extremely fast and streamlined processing code. Programming is also straightforward, and the evolutionary configurable approach renders FPGA-based solutions extremely future-proof.
Have questions about implementing vision processing code? Then give our vision experts a call!
Multi-Camera Tracking Applications
Target applications for our new AMD Xilinx Zynq UltraScale+ Plus based MicroTCA platform include various multi-camera tracking solutions for real-time prediction. What application do you want to serve? Discuss your target application with our vision experts!
Modular Design, Maximum Flexibility
OEM, vision solution providers and system integrators need FPGA based vision platform for fastest data processing at lowest power requirements. Utilizing the MicroTCA embedded system standard enables them to setup system designs by compiling various standard components to their specific needs. Even the combination of FPGA-, CPU-, GPU- and AI-cards are possible.
What is your requirement specification?