Our blog offers a new solution using eKuiper, an open-source edge SQL engine, to bridge meaningful data and selective CAN bus signals to MQTT seamlessly.

Development work on v1.9.0, has already begun, which aims to facilitate the connection of the industrial protocol gateway Neuron with multiple instances.

The new version provides a new plugin designed for real-time AI inference on data streams such as video streaming. This is a generic AI function that is compatible with most pre-trained Tensor Flow Lite models.

In November, the eKuiper team began working on v1.8.0 and added several useful features.

eKuiper is in the development cycle of v1.7.0 this month, and the development team and community partners have jointly completed a series of new features.

In May, eKuiper is in the early stage of new feature development of v1.6.0, and the development of its product function mainly includes the encoding/decoding supports of protobuf.

This month we have officially released v1.5.0, and the eKuiper Chinese and English community website has been officially launched.

In January, we have successively released two minor versions to continuously fix the problems reported by users and improve product stability and user experience.

This month, the eKuiper team is focusing on developing v1.4.0, aiming to release the version in early December officially.

This article will use the script and timing function of MQTT X to simulate temperature and humidity data reporting, and combine with EMQX Edge to verify Kuiper's stream processing function.

In this tutorial, we walk you through building a customized Kuiper plugin to leverage a pre-trained TensorFlowLite model.

Kuiper 0.9.1 provides a management console, which can be used for Kuiper node management, stream, rule and plugin visualize edit. It greatly improves the using experience.