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.

 

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Paasmer Edge Software 3.0 and its new features

Mobodexter has released the version 3.0 of the Paasmer Edge Software that offers a new Edge feature “Edge Rules Engine” with the enhanced versions of Edge Analytics and Machine learning along with the basic version of Paasmer Edge Artificial Intelligence.

 

Paasmer Edge Analytics Enhanced

 

The enhanced version of Edge Analytics offers customers, an easy to use UI based configurations to select the input feeds to do selected analytics. Customers can now execute control functions based on the analytics function.

 

Paasmer Machine Learning Enhanced

 

The enhanced version of Machine Learning (ML) offers additional algorithms to train Machine learning models that will help to cover more use cases to build ML application and it also offers 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. Customers can now execute control functions based on the ML output data

 

Paasmer Edge Rules Engine

 

The new Edge rules engine feature can empower customers to automate control functions on the Edge based on the precondition performed on various types data that includes sensor data, EA output data and ML output data.

 

With the enhanced version of the Edge Analytics and the Machine Learning, rules can be created with the data from analytic functions executed on Edge, the data from machine learning and various combinations for the sensor, analytics, and machine learning data to run automated control functions on the Edge.

 

The easy to use drag and drop based UI helps customers to create rules for each device with selected feeds, supported services, and set condition. Once all the rules are created, the deploy interface on UI helps to deploy the rules on the Device. The rules will be executed after the successful deployment

 

Paasmer Edge Artificial Intelligence

 

Paasmer Edge has the capability to run Artifical intelligence at Edge. The basic version of this feature released as part of Paasmser 3.0 demonstrates the Paasmer’s capability to build AI based Edge solutions using OpenCV. This feature that includes object deduction use case is available for free download from Paasmer development portal.

 

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Mobodexter Shop Referral Program

Mobodexter Shop Referral Program

 

Mobodexter offers a referral program on the mobodexter shop. You can share your referral code with your friends and you can earn 10% upto $570 for each successful referral purchase and your friends will get 25% discount on each purchase using your referral code on the Mobodexter shop.

 

You must have Paypal email id to redeem your referral cash rewards. Make sure you signup with Paypal if you don’t have a Paypal account yet before signing up with referral program

 

Signup with Referral Program

 

Go to https://shop.mobodexter.com/

 

You can see a Get rewarded popup at the bottom of the page as shown below

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Clicking the Get rewarded on the pop-up or clicking on “Reward Points” menu item or going to https://mobodextershop.referralcandy.com/ directly takes you to the Referral program signup form.

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Enter your email id and name(optional) and click Start sharing. You can see your referral link as follows

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Share your referral link

 

You can copy the referral link by clicking on the link and share it with your friends. You can also use the social media links given below your referral link as shown above to share in Facebook, whatsapp, Messenger and Twitter

 

Activate your Account

 

Once you sign up with the referral program you will receive an email to the email id given for the referral program. Please check your Junk or Spam folders also for the email from Mobodexter shop referralcandy

 

The content of the email will be as shown below

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Click “Get Invite Link” it will take you to the following page

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Click on “Your rewards”, it will take you to the following page to setup your account

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Enter the preferred password and click on “set password”. You can see “Send verification email” as shown below

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Click on the same to get an verification email.

Click verification link in the email you receive. It will take you to the Login page as shown below

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Enter the credentials to access your account. You can update your referral link in settings and see your referrals and rewards.

 

Paypal Account

 

Go to Settings

Enter Paypal account email id as shown below

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Access your account

 

Follow the steps below to access your account anytime after it is created.

 

Go to https://mobodextershop.referralcandy.com

Enter your email id

Click “Get your Invite Link”

It will take you to your referral page

Click “Your rewards” at the right bottom of the page

It will take you to your login page, enter your password to view your referrals and rewards

 

Referral Discount

 

Mobodexter offers 25% discount on each purchase with a valid referral code

Enter the referral code in the box given for promo code during checkout

The shop will take 24 hrs to recognize and approve a referral code after it is alloted to an advocate. If an advocate sign up with the referral program and share the link to his friends and if one of his friends wants to make a purchase using the referral code shared, he/she may need to wait for maximum 24 hrs to apply the referral code to avail 25% discount

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PAASMER Edge Software Suit Free Trial

PAASMER Edge Software is an IoT edge solution that allows developers to connect IoT devices to the PAASMER cloud platform for data visualization and IoT management. This allows for a quick start approach to IoT development. It offers value added features like Edge Analytics and Machine Learning at Edge

PAASMER allows customers to use the PAASMER Edge and PAASMER Cloud solutions for free with a 15 days free Trial license, that can be availed to evaluate the PAASMER Edge including Edge Analytics and Machine learning features and PAASMER cloud features including device/feed management and configurable data visualization.

Here we provide step by step instructions on how to avail PAASMER Edge Free Trial license.

Step 1 – Register at PAASMER

Go to https://developers.PAASMER.co

Register by submitting the following Signup form

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Procced with the Email verification and complete the Registration

Step 2 – Add a Device shadow in PAASMER platform web application

Logon to PAASMER and go to Docker Devices and select Add Dockerdevice

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This will let you create a device shadow. Enter the device name you wish to provide for the IoT device you will be connecting to this device shadow

Step 3 – Select Free License

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You can see two license options for every device you add. Choose Free license for the Trial purpose and Complete the Device creation.

Step 4 – Download PAASMER Edge and Install it on your IoT Device

Go to PAASMER GitHUB link https://github.com/PAASMERIoT/PAASMER_Edge_Docker_V2_2

Open Readme file and follow the instructions to install PAASMER Edge on your IoT device.

Step 5 – Your Device is ready with PAASMER Edge for your Trial now

Once the installation and configuration are completed on the Device with PAASMER Edge, a connection will be established between your physical device and the device shadow you have created on the PAASMER platform.

Go to PAASMER Platform Web application to view your device showing online.

Step 6 – Follow How to do Videos on PAASMER YouTube channel

You can follow other How to do videos in PAASMER YouTube channel https://www.youtube.com/channel/UCR23rufbYe9QXDSp2ibpmiA to configure and connect sensors and actuators, how to use other Edge and Cloud features for your Trial purpose.

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PAASMER Edge Software Releases Version 2.1

New Updates Include: Machine Learning Developer Kit, Easier Device Management and New Ways to Configure Your Data

Paasmer has been consistently upgrading their 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 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, Paasmer 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 Paasmer 2.1  release: line chart, bar chart, circular gauge, vertical gauge, button and slider bar button.

The biggest enhancement made to last years Paasmer 2.0 version was the addition of dockerized architecture on their Edge Software. To accompany the dockerized architecture, Paasmer 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.

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