IoT Protocols

Cloud Connectivity:
Infrastructure (ex: 6LowPAN, IPv4/IPv6, RPL)
Identification (ex: EPC, uCode, IPv6, URIs)
Comms / Transport (ex: Wifi, Bluetooth, LPWAN)
Discovery (ex: Physical Web, mDNS, DNS-SD)
Data Protocols (ex: MQTT, CoAP, AMQP, Websocket, Node)
Device Management (ex: TR-069, OMA-DM)
Semantic (ex: JSON-LD, Web Thing Model)
Multi-layer Frameworks (ex: Alljoyn, IoTivity, Weave, Homekit)
IOTA The Next Generation Blockchain for IoT (ex: Tangle for M2M)

Production Support with AI

In the industrial sector, AI application is supported by the increasing adoption of devices and sensors connected through the Internet of Things (IoT). Production machines, vehicles, or devices carried by human workers generate enormous amounts of data. AI enables the use of such data for highly value-adding tasks such as predictive maintenance or performance optimization at unprecedented levels of accuracy. Hence, the combination of IoT and AI is expected to kick off the next wave of performance improvements, especially in the industrial sector. AI-equipped controllers are meant to immediately detect signs of equipment irregularity by monitoring the status of equipment and processes and assure product quality.

Edge Standardisation

There is an implementation of a top-layer framework for interconnecting different IoT devices from different providers. An open platform designed to operate on any hardware, operating system or application environment for maximum scale. Connectivity can include existing and new IoT protocol standards as well as proprietary interfaces. Interoperability between community-developed software will be maintained through a certification program.