by Luxonis

An embedded platform for combining Depth and AI, built around Myriad X

View all updates Dec 12, 2019

Power and Stability Comparison

Hi everyone,

So we got great news from one of our Alpha testers:

  • Infinitely better stability and
  • 1W less power use

They are using the DepthAI: System on Module (SoM) in their own custom board.

To de-risk the development of their custom board, they implemented the board to support our SoM and also the incumbent Myriad X PCIE board (the manufacturer of which will rename nameless here).

What did they find?

Running the exact same neural inference over USB3, our module uses 1W (yes, 1 Watt!) less power than the incumbent board. They also had to work around instability with the incumbent board, where it would regularly hard-crash, requiring full-reboot of their host Linux system.

This crash would manifest in two ways:

First, if they started performing full-bore neural inference within 1 minute of system powerup, it would crash almost every time.

To solve that, they implemented a delay running neural inference until 1 minute after startup (which was materially detrimental to their use case).

But worse, even with this delay, the system would randomly crash within a couple hours, requiring a full system reboot.

This was killing them.

They spent a long time debugging it, assuming that this was an error on their custom hardware design or software flow.
It surely couldn’t be the fault of this large not-to-be-named OEM who made the incumbent Myriad X PCIE card, right?!

Eventually they gave up on this incumbent PCIE board and swapped in our DepthAI SoM in its place.

Zero crashes, ever.

To this date they haven’t seen a single crash with DepthAI, where they were seeing them hourly with the incumbent!

So in the end; 1W less power, and infinitely better stability. And this is for the Alpha version of DepthAI, literally the very first boards we ordered (and we’re on board order 6 now, with improvements each time).

We were super excited to hear this, and figured you all would be too.

Brandon & the Luxonis team.

$55,818 raised

of $1 goal

Funded! Order Below

Product Choices


DepthAI: RPi Compute Module Edition

Complete DepthAI system including Raspberry Pi Compute Module, microSD card pre-loaded with Raspbian and DepthAI Python interface. Boots up running object localization demo. Just connect to power and an HDMI display.


DepthAI: USB3 Onboard Camera Edition

This DepthAI variant interfaces over USB3C to the host, allowing use with your (embedded) host platform of choice, including the Raspberry Pi and other popular embedded hosts.


DepthAI: USB3 FFC Edition

DepthAI for the host of your choice. Runs on anything that runs OpenVINO (a lot of things), including Mac OS X, Linux (Ubuntu 16.04, Ubuntu 18.04, CentOS, Yocto), and Windows 10.


DepthAI: System on Module

Allows you to integrate the power of DepthAI into your own products. Supports 3 cameras total; dual 720p, 120 Hz Global Shutter and one 4K, 60 Hz Color connected through a 100-pin board-to-board connector. All power conditioning/sequencing, clock synthesis for the Myriad and the cameras, and boot sequencing is included in the module. Just provide 5 V power and physical connections to cameras.


4K, 60 Hz Video Modular Color Camera


720p, 120 Hz Global Shutter Modular Stereo Camera Pair



Brandon quit his job at Ubiquiti leading the UniFi team in order to focus on embedded machine learning and computer vision. He misses the UniFi team. But he just had to try this, as he thinks it's the future!

Brandon Gilles



Prototype Fabrication



Manufacturing Partner

Sunny Opotech


Sourcing: Camera modules

See Also

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