Mobodexter launches new Paasmer Edge Software Products in its Edge Marketplace

Mobodexter has released a new version 3.0 of the Paasmer Edge Software with Edge Rules Engine, Enhanced versions of Edge Analytics and Machine Learning and Edge Artifical Intelligence. With this new release with the new features, Mobodexter is launching 5 new products on its Edge Marketplace https://shop.mobodexter.com

 

This blog presents the new products with the details on what they offer to customers and monthly subscription details

 

Paasmer Edge free trial – $0

 

Paasmer Edge Software Free trial offers all the Edge and Cloud features for 15 days trial.

 

Paasmer Edge Fundamentals – $300

 

Paasmer Edge Fundamentals offers all the core edge features with Edge Rules Engine along with all the cloud features that include device shadow, device management, feed management, configurable data visualization, and remote actuator control.

 

Highlights

  • Offers Edge core with Edge Rules Engine
  • Edge rules engine empowers customers to automate control functions on the Edge based on various conditions
  • Easy to use UI for Rules creation and deployment
  • In-built support for IoT connectivity protocols including WiFi and Bluetooth.
  • Easy dongle connect and support for Gateway applications of up to 1000 sensors
  • Real-time processing with minimal latency
  • Paasmer Edge Artificial Intelligence feature that demonstrates Paasmer’s capability to build AI based Edge solutions using Tensor flow and OpenCV

 

Paasmer Edge Analytics – $400

 

PAASMER Edge Analytics saves you thousands of dollars by running analytics of the live data on EDGE before sending it to PAASMER cloud and execute. It offers to auto-execute control functions at Edge in real-time based on the analytics functions. All cloud features that include device shadow, device management, feed management, configurable data visualization, and remote actuator control.

Highlights

  • Combines Edge Core with Edge Rules Engine, Edge Analytics, and all cloud features
  • Analytics offered for Aggregate, Average and Feed Monitoring
  • An easy to use UI based configurations to select the input feeds to do selected analytics.
  • Auto-execute control functions based on the analytics function
  • Advanced cloud flexibility with cloud Rules Engine enabled for predefined conditions
  • Easy to use UI for Rules creation and deployment
  • In-built support for IoT connectivity protocols including WiFi and Bluetooth.
  • Easy dongle connect and support for Gateway applications of up to 1000 sensors.
  • Real-time processing with minimal latency
  • Paasmer Edge Artificial Intelligence feature that demonstrates Paasmer’s capability to build AI based Edge solutions using Tensor flow and OpenCV.
  • Features of Edge Analytics Offered
    • Aggregate – Calculates the minimum value, maximum value, mean and standard deviation on the last n numbers of feed values in the stream.
    • Average – Calculates the average of last n numbers of feed values
    • Feed Monitoring – Continuously monitors the change in the feed value and updates it in the Paasmer platform.

 

Paasmer Machine Learning – $500

 

PAASMER Machine Learning has a built-in ML layer on Edge core. The PAASMER cloud supports the developer to train and test with different algorithms for their data set to choose the best one with maximum accuracy and it offers all the cloud features that include device shadow, device management, feed management, configurable data visualization, and remote actuator control. At the edge, it offers to auto-execute control functions in real-time based on the ML output data.

 

Highlights

  • Combines Machine learning with Edge Core
  • Includes a developer kit to build a machine learning IoT application
  • Rich Data Visualization features and insights.
  • Train historic data for predictive analytics using Paasmer Cloud
  • Supports multiple Machine Learning algorithm including
    • KNN (k-nearest neighbor algorithm)
    • DT (Decision Tree)
    • LR (Logistic Regression)
    • SVM (Support Vector Machine)
    • RF (Random Forest)
    • K-Means
    • Linear Regression
    • Navies Bayes
  • An easy to use UI based configuration to select input feeds for a selected Machine learning model built using Paasmer ML framework and handle the predicted outputs from ML.
  • Auto-execute control functions based on the ML output data
  • Advanced cloud flexibility with Rules Engine enabled for predefined conditions
  • Easy to use UI for Rules creation and deployment
  • In-built support for IoT connectivity protocols including WiFi and Bluetooth.
  • Easy dongle connect and support for Gateway applications of up to 1000 sensors.
  • Real-time processing with minimal latency
  • Paasmer Edge Artificial Intelligence feature that demonstrates Paasmer’s capability to build AI based Edge solutions using Tensor flow and OpenCV.

 

Paasmer Edge Power – $600

 

PAASMER Edge Power is an all in one PAASMER Edge Software Suit with the highest level of built-in intelligence with Analytics, Machine learning and auto-execution of control functions at Edge with all the cloud features that include device shadow, device management, feed management, configurable data visualization, and remote actuator control.

 

Highlights

  • Combines capabilities of Machine Learning to Edge-Core with Edge Rules Engine & Edge Analytics
  • An easy to use UI for rules Creation and deployment for execution at Edge in real time
    Additional data support for voice and videos
  • Wide options for control automation at edge using sensor data, analytics and machine learning
  • Rich set of troubleshooting capabilities with remote log access and support
  • Advanced cloud flexibility with Rules Engine enabled for predefined conditions
  • In-built support for IoT connectivity protocols including WiFi and Bluetooth.
  • Easy dongle connect and support for Gateway applications of up to 1000 sensors.
  • Real-time processing with minimal latency
  • Paasmer Edge Artificial Intelligence feature that demonstrates Paasmer’s capability to build AI based Edge solutions using Tensor flow and OpenCV.