smart-camera demo
A proof-of-concept of AI classification running on RockPi4B with Linaro TRS, Docker, TensorFlow, AWS Greengrass
Introduction
smart-camera is a proof of concept putting together technologies that will be further developed in the Software Defined Camera Blueprint project (SDC) involving Linaro & Arm:
“The goal of SDC is to provide a demo-able software stack that allows for the deployment of Smart Camera / Vision use cases. Those essentially involve image capture via a camera and AI processing. A typical use case is object recognition. The architecture of the project allows flexible deployments with workloads running on the edge or in the cloud. This is accomplished via containers.”
smart-camera Overview
Linaro’s GitLab
Build host
(Linux with Docker)
“make”
Source code &�(trained) AI model
AWS S3�(storage)
AI model
AWS SageMaker
(ML service)
AI model
Compiled model for AArch64 Linux
Docker images packaged as Greengrass components
(capture & inference)
AWS = Amazon Web Services� No strong dependency, could by another cloud� (Alibaba…)
IoT = Internet of Things�ML = Machine Learning�TRS = Linaro Trusted Reference Stack
RockPi4B�running TRS
AWS Greengrass
(IoT service)
Greengrass components
(application software)
Compiled model
Monitoring / control for software deployment
AWS EC2�(compute)
(optional)
Inference
Inference
Capture
Demo!
Video, 26m26s, link
Thank you