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aicsd

AI Connect for Scientific Data (AiCSD) is a new solution for using AI to connect data from scientific instruments to applicable AI pipelines and run workloads at the edge. This repository contains EdgeX Foundry based microservices to automatically detect, manage, and process OEM images with OpenVINO.

app-functions-sdk-go

Owner: Applications WG

app-rfid-llrp-inventory

app-service-configurable

app-service-examples

automated-checkout

Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.

blackbox-testing

Integration test suite

ci-management

Control repo for Jenkins job and build minion definitions

core-services

Core service to launch Intel AI use cases.

developer-scripts

device-camera-go

Owner: Device WG

device-gpio

device-gpio

device-modbus-go

Owner: Device WG

device-mqtt-go

Owner: Device WG

device-random

Owner: Device WG

device-rest-go

Owner: Device WG

device-rfid-llrp-go

repository for new RFID device service being created/contributed by Intel | Owner: Device Service WG Chair, github ID: iain-anderson

device-sdk-go

device-snmp-go

Owner: Device WG

device-usb-camera

Owner: Device WG

device-virtual-go

Owner: Device WG

docker-edgex-consul

docker-edgex-mongo

documentation

edgex-compose

EdgeX Foundry Docker Compose release compose files and tools for building EdgeX compose files

edgex-docs

edgex-examples

edgex-go

EdgeX Golang Services Monorepo

edgex-taf

external-device-security-examples

"Examples of setting up device services such that it can connect to a EdgeX instance"