New Updates Include: Machine Learning Developer Kit, Easier Device Management and New Ways to Configure Your Data
Mobodexer has been consistently upgrading its software stack over the past couple of years based on feedback from their IoT developers and clients. Last year, Paasmer extended its reach and support beyond IoT into the drone, robotics, and smart city applications. Earlier this year Paasmer made major updates to the Edge Analytics; Edge Machine Learning & Edge Artificial Intelligence software packages with the Paasmer 2.0 release.
Today, version 2.1 launched with an upgraded Machine Learning Developer Kit and enhanced Paasmer Cloud GUI. These new enhancements make it easier for developers to build machine-learning applications on the Edge. Typically, historical data sets and related parameters are used to train machine-learning applications; however, the new trained module will be deployed on the device itself which allows for continuous training and improved accuracy.
Data visualization has also been updated in Paasmer Cloud GUI the new update allows developers to choose a different data configuration and presentation for each feed. The following presentation types have been added with the version 2.1 release: line chart, bar chart, circular gauge, vertical gauge, button and slider bar button.
The biggest enhancement made to last years version 2.0 version was the addition of dockerized architecture on their Edge Software. To accompany the dockerized architecture, version 2.1 features a new section in the left side panel of the Cloud GUI called, “Docker Device”. This new section makes it easier for developers to replace a broken or malfunctioning device without having to buy a new license for faster prototyping and more tests on multiple devices at a time.