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Auvidea’s Low-Cost AI Carrier Board, Tiny Form Factor With Big Features

Written by Stephen Vicinanza

Auvidea released the new JN30 carrier board. A small, powerful AI computer, based on the NVIDIA Jetson Nano TM module.

Bringing applications such as deep learning, 3D computer vision with stereo cameras, HD H.264/H.265 video encoding/decoding, object, and feature tracking, and UAV flight control. All packaged in a tiny form factor, to be easily fit into many instrumentations and component spaces.

The JN30 fits all the high-speed connectors on one side. Including Gigabit Ethernet (1000BT), USB 3.0 type A for peripherals that are high speed like stereo cameras and two displays (HDMI and display port). For storage, the module contains 4 to 32 GB eMMC, an M.2 NVME slot for extra high-performance SSDs with a read-write performance of up to 2500 MB/s, and an integrated 9-axis sensor (IMU). The module supports up to four CSI-2 cameras, and specifically, the IMX219 sensor (RPI camera 2.1) can be utilized for low-cost visual applications.

The power input of the JN30 supports 12V to 48V DC, which can power PoE cameras with up to 13 watts. Flashing the Jetson Nano is as easy as connecting the JN30 system to a host system. It automatically enters flashing mode – no button presses or other interactions are required. A supercap option for slower shutdowns during a sudden power loss.

The JN30 has a modular design and can therefore be adapted to different customer needs and desires. Interfaces can be omitted for cost savings, and the Auvidea design services can help get around challenges facing designers.

Further Information.

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The Auvidea JN30 (A/B) carrier board for the NVIDIA Jetson Nano product page is available on the website at the link.

Datasheet for the JN30B Production Version Carrier Board

Auvidea | auvidea.eu  

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For the past 8 years, I have been writing about embedded technologies, added to my technical, academic, and medical editorial experience, with companies like Elsevier and Cambridge University Press. I tell people to read what I write, not try to pronounce my last name. I am always available for comments and suggestions you can reach me at product-editor@circuitcellar.com and I promise I will take the time to reach back out to you. I live in the North East with my wonderful family.

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Auvidea’s Low-Cost AI Carrier Board, Tiny Form Factor With Big …

by Stephen Vicinanza time to read: 1 min