PRODUCTS - Industrial cameras - Smart cameras

Description

Features:

• Resolution: 1440 x 1080 pixels (1.6 MP) in mono.
• Sensor: CMOS Global Shutter sensor Sony IMX296.
• Video Interface: 1000BASE-T, M12, PoE
• Lens Mount: C-Mount
• Recording Features: Various recording features like region of interest (ROI) and sequence modes.

Industrial All-in-One Edge Computing Camera

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.

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

3 Ways to Develop the Perfect On-Camera Application

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.

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.

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.

The Triton Edge Combines the Best of Both Worlds

Built-in camera ISP with internal GPIO (Virtual Camera) paired with a public region on the FPGA for custom overlays.

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.

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 comes with a "Virtual Camera" - a camera ISP and GPIO so you don't have to start from scratch. Access and adjustment 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.

Technical specification

Model name TRIEDGE-MC Product family Triton Product type Area scan Sensor name Sony IMX296 Sensor type CMOS Sensor size (H x V), format 4.90 mm x 3.67 mm, 1/2.9" Pixel size (H x V) 3.4 µm x 3.4 µm Color/Mono Mono Resolution (H x V), MP 1440 x 1080 px, 1.6 MP Frame rate ADC 12 bit Dynamic Range Shutter Global Exposure Range Synchronization Software trigger, hardware trigger, PTP (IEEE 1588) Inputs/Outputs 1 opto-isolated input, 1 opto-isolated output, 2 bi-directional Image Buffer 128 MB Lens Mount C-Mount Interface 1000BASE-T, 100BASE-TX M12, PoE+ Machine Vision Standard GigE Vision v2.0 Power Requirements PoE (IEEE 802.3af), or 12-24 VDC external Power Consumption (Maximum) Housing Type Box Dimensions (L x W x H) 44 mm x 29 mm x 45.3 mm Weight Temperature (Operating) Temperature (Storage) Conformity CE, FCC, RoHS, REACH, WEEE, GenICam, GigE Vision Warranty 3 years

Documents

lucid-catalog-2018.pdf - English catalog of Lucid products
accessories.pdf - English datasheet of Lucid accessories
 

Software