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Cinematic, high-FPS, cameras via DP and HDMI inputs over long cables. HQ Sony IMX sensor. 2K@60 & 4K@30 capture and encode. Industrial serial interfaces for high concurrency and bandwidth. Powered by nVidia Jetson SOMs. Runs a minimal (~1GB) Ubuntu-based OS.
SOM
nVidia | Jetson Nano or Xavier NX |
Camera
Sensor | Sony IMX 415 |
Lens | 2.9mm / f2.0 - M12 |
Cables | Co-axial up to 2m |
Dimensions | 44×25×25mm |
Board
3x mDP In | 2k@60fps, 4k@30fps |
HDMI In | 2K@60fps |
Serial | RS485, USB |
M.2 PCIe | For Wi-Fi or other |
Dimensions | 147×99×29mm |
Operating System
LF Ubuntu |
v18.04 |
Designed for the development of avatar-like robotic applications that can operate autonomously in the Internet of Things. This powerful small computer board is the result of a close collaboration between ANA Holdings and J Cube Inc.
Lightfront | AI
Thanks to a custom designed hardware solution via LVDS + FPGA, the Lightfront AI board allows to acquire camera signal at high-resolution / high-frequency and transmit over longer distance compared to a regular CSI cable. There are up to 3x mini-DP inputs on the board, which can receive signal from up to 2 meters long co-axial cables which connect to the Lightfront camera module boards (equipped with standard DP). This allows more flexible robotic application design while preserving 4K@30 (up to 38fps) ad 2K@60 acquisition.
The board hosts the nVidia Jetson SOMs which have the performance and capabilities needed to run modern AI workloads, making it possible to add advanced AI to any product. nVidia SOMs brings AI to a world of new embedded and IOT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities. Support for both the Jetson Nano and the Jetson Xavier NX SOM, the world’s smallest AI supercomputer for embedded and edge systems, is possible.
The camera module hosts the Sony IMX415 sensor, a 4K-resolution stacked CMOS image sensor, which is the smallest of its kind in the world. Designed specifically for the smart city market and to meet the needs of AI-powered monitoring applications. This chip has low power consumption, high sensitivity, low dark current and no smear are achieved through the adoption of R, G and B primary color mosaic filters and also features an electronic shutter with variable charge-integration time.
The board was designed for cinematic-quality input from professional camera lenses through a special mHDMI input port. You can connect, for example, a Blackmagic Micro Cinema Camera which can output 2K@60FPS and supports any M4T lenses (micro four thirds), such as the incredible ZEISS CP.3 lens.
The board was designed with advanced robotics needs in mind, therefore concurrency and low-latency serial communication is essential. At your disposal are 4x 20Mbps RS485 serial over mini-PCIe with automatic hardware half-duplex switch and 2x 5Mbps RS485 serial over mini-PCIe with high-concurrency / low-latency. Besides these you have also the standard USB 3.0 (4x).
The board comes with a pre-installed Ubuntu 18.04 compatible Linux O/S which we refer to as Lightfront Ubuntu or LF Ubuntu. The Linux Kernel is L4T (Linux for Tegra). Compared to the standard nVidia distribution, which is ~12 GB in size, LF Ubuntu is designed to be a minimal distribution with a size less than 1 GB, the user is therefore responsible to add via `aptitude` additional packages that might be wanted.