Zynq UltraScale+ MPSoC SoM
Cell Detection System

Requirement

  • Multiple high-resolution MIPI CSI-2 cameras
  • Real-time cell detection & image analysis
  • FPGA-accelerated processing
  • PCIe Gen3 with dual NVMe SSD support
  • Multiple Gigabit Ethernet interfaces
  • Reliable 24/7 laboratory operation

Architecture Diagram

iWave Scope of Work

  • Production of ZU7CG System on Module
  • Custom carrier card design for imaging and storage interfaces
  • FPGA-based acceleration for real-time data processing
  • High-speed PCIe, Ethernet, and storage enablement
  • End-to-end technical support and lifecycle management

Solution Highlights

To meet the customer’s demanding imaging requirements, iWave delivered a high-performance embedded computing platform powered by the AMD Zynq® UltraScale+™ MPSoC, compatible with ZU7, ZU5, and ZU4 CG/EG/EV devices. Featuring up to 504K logic cells, 230K LUTs, Quad/Dual Arm® Cortex®-A53 processors running at 1.5 GHz, and dual Cortex®-R5 real-time processors, the solution provided the processing power needed to execute complex cell detection algorithms with exceptional speed and accuracy.

The platform supports multiple MIPI CSI-2 camera interfaces, enabling simultaneous acquisition of high-resolution image streams for real-time analysis. To efficiently manage the large volumes of imaging data, the solution integrates PCIe Gen3 with dual NVMe SSD support for high-speed storage, while multiple Gigabit Ethernet ports ensure reliable, high-bandwidth communication with connected laboratory and network systems. Additionally, the integrated H.264/H.265 Video Codec Unit (VCU) accelerates video encoding and decoding, reducing CPU utilization and enabling smooth, low-latency image processing.

By combining FPGA-accelerated computing with a scalable hardware architecture, iWave delivered a reliable solution capable of continuous 24/7 laboratory operation while providing the flexibility to support future enhancements. The result is a robust platform that enables advanced medical imaging, intelligent cell detection, and next-generation laboratory automation with high performance, reliability, and long-term scalability.

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