Jim Wang @ Intel's repositories
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
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.
core-services
Core service to launch Intel AI use cases.
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-snmp-go
Owner: Device WG
device-usb-camera
Owner: Device WG
device-virtual-go
Owner: Device WG
edgex-compose
EdgeX Foundry Docker Compose release compose files and tools for building EdgeX compose files
go-mod-bootstrap
go-mod-bootstrap
go-mod-configuration
Go module providing abstract configuration provider with Consul implementation | Owner: Core Working Group
go-mod-core-contracts
Owner: Core/Support WG
go-mod-registry
Owner: Core/Support WG
go-mod-secrets
Owner: Security WG
performance-tools
Dockerized performance tool suite for benchmarking a use case.
retail-use-cases
Retail based use case profiles.
rtsf-at-checkout-reference-design
Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.