This post is a continuation of my tinyML learning journey this summer that is inspired by the Hackster Eyes on the Edge Vision Challenge https://www.hackster.io/contests/tinyml-vision .

 

I've been attending as many of the tinyML.org webinars that I can or at least watching the recordings on YouTube.

 

One that I found particularly interesting last month was the "tinyML Vision Challenge - Intel-Luxonis Vision Platform" video https://www.youtube.com/watch?v=-h55q4IKlsQ.

 

I've followed Luxonis for a while because of their use of the Intel Movidius Myriad X Vision Processing Unit (VPU).  I first encountered the Myriad X in my Tello Drone Tello Drone Intro Blog and later when using the Intel Neural Compute Stick (NCS) on a PYNQ-Z2 Intel Movidius NCS on PYNQ-Z2 .  Luxonis makes some interesting Spatial (stereo) cameras that utilize their DepthAI platform.  I came close to getting an OAK-D (OpenCV AI Kit) camera   docs.luxonis.com/projects/hardware/en/latest/pages/BW1098OAK.html , but never felt I had the time to invest in integrating it with a Raspberry Pi4 and also struggled a bit using the OpenVINO platform for programming the Myriad X.

 

There have been two developments since I last used OpenVINO with the NCS that caught my attention:

  1. OpenVINO (Open Visual Inference and Neural network Optimization) now has a fully developed cloud based framework that supports all of Intel's hardware AI platforms. devcloud.intel.com/edge/
  2. Luxonis has developed a new Spatial AI camera board that integrates an ESP32 that facilitates developing a portable battery powered Edge AI solution. LUX-ESP32 (OAK-D-IoT-40). shop.luxonis.com/products/bw1092

 

 

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Luxonis LUX-ESP32

 

 

The devcloud based framework removes the complexity of installing and maintaining a local OpenVINO setup that I have had problems keeping up-to-date..  And the LUX-ESP32 seems to be perfect for experimenting with Spatial AI.  I was fortunate that as part of the Eyes on the Edge Vision Challenge, I was able get a 50% discount on a LUX_ESP32.  I'm looking forward to seeing what I can do with OpenVINO and Spatial-AI .