Triton Edge Xilinx Zynq Camera

Triton Edge

Industrial All-in-One Edge Computing Camera.

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The Triton Edge features Xilinx’s Zynq® UltraScale+™ technology with multi-processor functionality and user programmable FPGA accessibility. Offering unparalleled access to on-camera hardware to develop and run custom image processing, you’ll create unique camera IP that’s powerful, accelerated, and energy-efficient, running directly on the industrial Triton Edge camera.
Triton Edge Xilinx Zynq Camera

Powerful Features

Made for engineers and developers wanting to build their own camera with unique image processing but without the need of starting from scratch. The Triton Edge is your all-on-one machine vision camera – featuring a high performance Sony global shutter sensor, LUCID’s pre-installed image signal processing (ISP), and Xilinx’s powerful UltraScale+ MPSoC. This compact, energy-efficient, and cost-effective camera provides a faster time to market thanks to Xilinx’s industry leading design tools, C/C++, Open CL design abstractions, along with their largest portfolio of software and hardware design tools and reference designs. Build every detail of the user experience, from the custom overlays on the FPGA to the user interface on Jupyter Notebook, without the need for complex VHDL/Verilog knowledge. Build custom on-camera processing like part specific edge detection, unlock AI-powered inference with Xilinx’s AI DPU, and connect to your favorite cloud based applications for additional post processing. Plus, get all the industrial features that the Triton is known for, such as IP67 protection, active sensor alignment, EMC industrial immunity, and shock and vibration certification.

ARM® Cortex™ A53 APU, ARM Cortex R5 RPU

2GB DDR4 Memory

16GB eMMC Storage

User Programmable Logic on FPGA

IP67 Dust & Water Protection

M12 GigE PoE Interface

Active Sensor Alignment

Sony Global Shutter CMOS Sensor

Triton Edge Camera with Xilinx Ultrascale+ ZU3
Triton Edge Camera with Xilinx Ultrascale+ ZU3

3 Ways to Develop the Perfect On-Camera Application

jupyter notebook logo

Jupyter Lab

The Jupyter Notebook provides a browser-based interactive environment for developing on-camera apps that can utilize custom overlays on the FPGA. Connect through Ethernet and use any modern web browser to access the Jupyter Notebook environment on the Triton Edge. Notebook documents can contain both live Python code, rich text elements, and visualizations, allowing developers to build interactive GUIs with live output from the virtual camera stream.

Jupyter Notebook Running DPU
PetaLinux

Linux

The Triton Edge runs a fully functional Linux Ubuntu OS giving users a familiar development environment. Open a Terminal window to download and install packages, such as your favorite compiler and build applications or APIs directly on the camera. For example, install OpenCV for ARM and create on-camera computer vision applications. Run them taking advantage of the camera’s multi-core processors, 2GB of DDR4 memory, and the camera’s performance per watt efficiency.

Ubuntu on Triton
Xilinx Vitis Logo

Xilinx Vitis

For OEMs looking to add their own powerful IP for end-users, the Triton Edge offers access to a public region on the FPGA. By using Xilinx’s Vitis software platform, engineers can create and add programmable logic (overlays) on the FPGA for accelerated and energy-efficient processing. A number of reference designs are already available, including Xilinx’s AI DPU. Store more overlays on the eMMC and swap them in and out of the FPGA for even more specialized processing.

vitis familiar software development environments

Xilinx UltraScale+ Provides 2 processing units:

1) ARM Cortex-A53 Application Processing Unit. 64-bit architecture with exceptional performance-per-watt.

2) ARM Cortex-R5F Real-Time Processing Unit. Low-latency, deterministic engine ideal for real-time applications or APU offloading.
The Triton Edge Combines the Best of Both Worlds The Triton Edge comes with a "Virtual Camera" - a camera ISP and GPIO so you don't have to start from scratch. Access and adjust camera options such as pixel format, white balance, exposure, and gain through the on-camera Jupyter Notebook, Ubuntu OS, and FPGA overlays. All the camera options that you're used to getting are all here, plus with access to GPIO signaling. Using Xilinx' Vitis software platforms, engineers can add their own programmable logic circuits (overlays) to the FPGA. These overlays can leverage the pre-installed Virtual Camera and all other hardware specs including the ARM Cortex units, Memory, eMMC, and Ethernet interface. Built-in camera ISP with internal GPIO (Virtual Camera) paired with a public region on the FPGA for custom overlays.

Triton Edge

Chipset Xilinx UltraScale+ ZU3CG MPSoC
Processors Dual-core ARM® Cortex™-A53 APU
Dual-core ARM Cortex-R5F
System Memory 2GB DDR4
Storage 16GB eMMC
Platform Environment / OS Xilinx Vitis / PYNQ / Ubuntu 18.04
Sensor Sony IMX296 CMOS
Resolution 1.6MP, 1440 x 1080 px
Shutter Type Global
Virtual Camera Attributes LUCID ISP: Exposure, Gain, White Balance, CCM, LUT, Pixel Format, ROI, GPIO Signaling
Interface Connectors Gigabit Ethernet, PoE, M12 port
GPIO, M8 port
Dimensions 29 x 44 x 45 mm (H x W x D)
Protection Rating IP67 (When used with IP67 lens tube and cables)
Shock and Vibration DIN EN 60068-2-27, DIN EN 60068-2-64, DIN EN 60068-2-6
Industrial EMC Immunity DIN EN 61000-6-2

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