New Dockerized Value Added Features in Paasmer Version 2.0

Paasmer, an IOT platform for Developers has released a new enhanced version of value-added features for Edge Analytics and Machine Learning. The features are packaged and delivered the enhanced version of Paasmer docker containers. The Paasmer Edge core now comes with a generic Python library that can be used for many IoT devices to connect to the Paasmer cloud. And these new and enhanced features making it simple for the users to access IoT devices in a much simpler way

Here is the list of features released in Version 2.0 and a brief on the same.

  • Paasmer Python Library
  • Paasmer Edge Analytics Version 2
  • Paasmer Edge Machine Learning Version 1
  • Paasmer Edge Docker Version 2

Paasmer Python Library

Paasmer Python Library, a new and simpler approach to connect, subscribe and publish to Paasmer Platform from your IoT devices. It provides simple function calls allowing the user to work with Paasmer platform more easily than before. It can also support Edge Analytics on any feed while publishing. It has separate Callback for each feed and thus making the connection simple.


Find more details on the feature, installation and how to use instructions and download at


Paasmer Edge Analytics Version 2

Paasmer has already got Edge Analytics capability and now the enhanced version of this feature offers more analytics options for the developers. And this feature is packaged and delivered as a Docker that makes it easy for the developers to install, uninstall and upgrade.

The following are the new analytics options added to the feature.

  • 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.

Edge Analytics

You can analyze your sensor data based on your Analytics condition. The Paasmer-Edge-Analytics-Docker-V-2 also consists of Paasmer Python library and Python SDK to connect to the Paasmer Gateway. This Feature is available as a docker and it can be run on any RPi devices along with our customized Paasmer OS.

Find more details on the feature, installation and how to use instructions and download at


Paasmer Edge Machine Learning Version 1

This feature adds Machine Learning capability to Paasmer platform. A sample use case in Health care is added to demonstrate the feature. With the Healthcare application in Machine Learning, we can predict the chances of a person falling sick in the next two weeks based on the data collected on Blood Pressure, Blood Sugar and the Breakfast time. This feature is along with a sample Android Application that sends the data in a periodic delay. This Feature is available as a docker and it can be run on any RPi devices along with our customized Paasmer OS.


Find more details on the feature, installation and how to use instructions and download at


Paasmer Edge Docker Version 2

The Paasmer has already got a containerized Architecture on Paasmer Edge. The first version of the Paasmer Edge Docker offered Edge analytics along with the Paasmer Edge core. The version 2 offers both the value added features, Edge Analytics and Machine Learning along with the new Paasmer code that includes the Python Library. Using this we can perform all the new features in a single Paasmer OS image running on RPi devices. This makes the tasks simple for users allowing to perform Analytics, Machine Learning and simpler communication with Paasmer IoT platform.


Find more details on the feature, installation and how to use instructions and download at


Transforming Hydroponics and Aquaponics farming Using Internet of Things


Kavitha Gopalan

With the growth in urban population, the need for more space seems perpetual. Traditional farming techniques are known for the need of large lands and the enormous amount of water. So the need for revolutionary farming techniques which occupies lesser space, consume lesser water and can give larger produce have led to the popularity of farming methods like hydroponics and aquaponics.

Hydroponic farming is a system of growing plants without soil using nutrient-laden solution to deliver nourishment directly to the roots of the plants. In hydroponic farming, the idea is to create a controlled environment for the plants with the right level of temperature, moisture, CO2, pH, water level and nutrients and supplying this solution directly to the plant’s roots. This method of creating an optimal environment for plants helps to increase the productivity by 3 folds. It also has other benefits like the re-use of the nutrient solution, reduces the amount of water used for farming by recycling, reduced fertilizer usage and requires lesser space.

Aquaponics is a system which uses aquaculture with hydroponics. In an aquaponics system, water from an aquaculture system is fed to a hydroponics system where the by-products are broken down by nitrifying bacteria initially into nitrites and subsequently into nitrates, which are utilized by the plants as nutrients, and the water is then recirculated back to the aquaculture system.

While these new techniques promise great results, it has certain inherent challenges which inhibit its widespread adoption.

The biggest hurdle for its adoption is the maintenance of the system. It could be time-consuming and be challenging to understand and constantly monitor the hydroponic or aquaponic systems.

Setting up these systems could be a mammoth task, the number of sensors to be installed, the triggers and the parameter configuring could be time-consuming.

It also requires constant monitoring of the sensors and the system. A hydroponic farm must be regularly attended to by a farmer, to know if there is any blockage in the drainage system, to understand if any system failure/power failure if the pump is on/off. If they must set-up multiple farms then scalability becomes an issue.

IOT will be a key problem solver for hydroponics and aquaponics systems with its ability to connect various sensors in the field to cloud and allowing it to be monitored and controlled from anywhere.

The Union of Internet of Things and hydroponic farming will be the future of demystifying the hydroponic farming and making it easier for adoption.

The internet of things will bring in features like automation, remote monitoring and control and build intelligence into the hydroponic farming system. This helps to prevent the need for the human presence in the farm every time and allows efficient monitoring and control of the farm from a remote location.

Sensors mounted in the farm could be used for monitoring CO2, air current, lighting, fertilizer flow, and the pH of the soil. The readings from these sensors are then analyzed in cloud systems. These readings are monitored continuously and tuned if there is any change in environment. Immediate alerts of the status and action will result in increased yield.

Home automation and HVAC control_paasmer platform

Home Automation and HVAC Control


Srinidhi Murthy

The Internet of Things is set to disrupt the way we live and work, but for now, let’s focus on the “live” portion of that statement. Smart homes filled with connected products are loaded with possibilities to make our lives easier, more convenient, and more comfortable.

Imagine that you’re driving home on a hot summer day. But rather than turning the air conditioner on when you get home and wait for your house to cool, you simply use your smartphone when you leave your office to tell your smart thermostat to lower the temperature.

Or imagine that you’re cooking dinner, and you ask the voice assistant to read you today’s biggest news stories so that you can focus on making your kid’s favorite lasagne. There is no shortage of possibilities for smart home IoT devices, and home automation seems to be the wave of the future.

Experts estimate that the number of smart home devices shipped will grow from 83 million in 2015 to 193 million in 2020. This includes all smart appliances (washers, dryers, refrigerators, etc.), smart home safety and security systems (sensors, monitors, cameras, and alarm systems), and smart home energy equipment, like smart thermostats and smart lighting.

There are many benefits of home/building Automation which are listed below.

  • Security: Motion sensors
  • Efficiency: Automatic switch off when not in use.
  • Convenience: Control everything from your fingertips.
  • Savings: You save money with an efficient Home automation system.

The first and most obvious benefit to smart homes is a convenience, as more connected devices can handle more operations (lighting, temperature, etc.) and free up the resident to perform other tasks.

As with all shifts in technology, changes will happen in the ways we live and do business. With the actions being taken for more energy efficiency in construction and managing of buildings there is a big potential through Internet of Things. HVAC systems that can make their own intelligent decisions based on presence, weather and lots of other indicators have a great potential to cut energy use and cost.

We are also certain that new business models will emerge. HVAC systems using IoT will be able to predict situations from collected data and have automated alarms for service and maintenance that can facilitate new services.


Mobodexter’s PAASMER provided the complete set of components to build this solution from End to End satisfying all the needs of the client in the shortest possible time frame.

Here we explain how PAASMER has been used to connect a traditional HVAC system using a custom built IR blaster to the Paasmer IoT platform and how to control the same remotely.


The solution has 4 modules, the Hardware, the Misty OS, the Paasmer IoT Platform and the App. We shall look at each of them below.

Gateway Hardware:
The Gateway Hardware consists of Network MCU boards with an IR Receiver and an IR transmitter connected to it. The Firmware that runs on the Network MCU is responsible for connecting to the Paasmer IoT Platform and ability to send and receive data from the Paasmer IoT platform.

It is also responsible for decoding the correct pattern to be sent via the IR transmitter and recording the correct pattern from the IR receiver.

Misty OS:

Misty OS is designed to be flexible, modular and gateway platform agnostic. The core functionality of the OS, Connectivity, H/W interface and middleware component are built into Misty OS. The gateway has interfaces for IR Transmitter and an IR receiver

It operates in two modes, Learning, and Transmits.

In Learning mode, the Hardware learns all the new IR codes that are needed for a particular device and stores the data on the Paasmer IoT Platform specific to the user. The learning mode can be enabled from the App and has options to choose the device type and device subtype. Once all the buttons of the remote have been learned it is ready to work.

In Transmit mode, messages are received from the App via the Paasmer IoT platform inform the Hardware to blast out the appropriate IR signature for the button pressed in the App. This IR signal is blasted across and very wide range using duplicate IR transmitters to cover an almost 360-degree range to control the HVAC system.

Paasmer IoT Platform:

Paasmer is a one stop shop for connecting all your devices to the internet and read data from them as well as control them. The Paasmer IoT Platform hosts the message broker, the necessary business logic, data store and all the necessary interconnections between them. It provides a platform onto which all Gateway HW devices, mobile phones, websites can be interconnected.


The App connects to the Paasmer IoT Platform and based on the user login details and displays the data of the devices that are available for control. The user can select the appropriate device and control the device using the buttons on his screen. These button clicks are translated to the respective messages which are published by the Paasmer IoT Platform.


In the current scenario a user wants to switch off the HVAC, so he selects the HVAC and then switches it off. These switches off messages are published to the broker on a particular topic. The Gateway Hardware is subscribed to this particular topic and hence receives the message.

The Gateway Hardware then decodes the message and immediately blasts the respective IR signature to turn off the AC.