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gerrit.opencord.org / person-detection-app / de6ff52e0689646688ac715958ddc67bdc8000ac
commitde6ff52e0689646688ac715958ddc67bdc8000ac[log] [tgz]
authorShad Ansari <shad@opennetworking.org>Fri Mar 18 18:37:53 2022 +0000
committerShad Ansari <shad@opennetworking.org>Fri Mar 18 18:37:53 2022 +0000
treef2b1a9dc2056207f777952132bbe18cf703bf219
parent717d0d04d0b29f0b9c06c053f2a01cbc0f382597 [diff]
Cleanup README.md

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  7. camera/
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README.md

Person-detection Application

Person-detection-app is a demo application that runs in the Aether edge and showcases Aether's support for for low-latency, AI/ML driven IOT applications that make use of Aether's support for end-to-end slicing.

The person-detection-app consists of a client component that runs on Raspberry-Pi camera and a server component that runs on a server in the Aether Edge.

Getting started

Raspberry Pi Camera

The camera directory contains scripts that run on the Raspberry Pi camera.

  • openvino-camera.sh captures video from the Raspberry Pi's camera module, encodes and transmits it in low or high resolution to the host:port of the person-detection-app
  • openvino-mqtt.py listens to mqtt commands from the person-detection-app to set the resolution level of the Raspberry Pi camera video.

It is recommended that these two scripts be started by systemd on startup.

Person-detection-app

The person-detection app runs as a docker container.

docker pull registry.aetherproject.org/aether-apps/person-detection-app:latest
docker run -itu root:root --privileged --network host registry.aetherproject.org/aether-apps/person-detection-app:latest