Features of Smart Home Automation App

What is a Smart Home App?

A smart home app also referred to as a home automation app or a smart home automation app is an application that helps remotely control and manage connected appliances/devices in the home, usually from a smartphone or tablet.

Smart home apps can be single-purpose, such as that for controlling smart light bulbs to automate and manage a home’s lighting system. Some smart home apps can automate and control other smart home elements such as heating and air conditioning, entertainment systems, doors and windows, window coverings, security systems, water sprinkling, and appliances. Such apps are examples of multipurpose smart home apps. 

With the help of suitable sensors, smart home apps can also be used to keep a watch on systems and environments and dispatch an immediate alert on sensing anything amiss.

Also, we can monitor and control turning ON/OFF of the water pump sensing the level of water in the tank, In the same way, by which the smart home App turns the AC on sensing a rise in temperature.

smart water level monitoring and controlling

Reasons why smart home apps are getting popular.

Rapidly evolving devices and customer expectations

All the new generations of home appliances and the whole household infrastructure, including ventilation and lighting, are getting connected via IoT and turning smart. Customers expect to get more intelligent goods, and the market responds. Meanwhile, smartphones work as one-stop access points to control and monitor all these gadgets and gizmos.

Easily available hardware parts

It’s comparatively less expensive and easier to build smart home prototypes, experiment with functionality and connectivity, and create smart home MVPs than, say, 10 years ago. The IoT hardware market is booming. Microchips, sensors, boards, components, and ready-to-use kits are diverse and getting increasingly affordable and accessible.

Expansion of IoT cloud platforms and services

A rapid expansion and upscaling of IoT cloud platforms and services are being seen, in both quantity and quality. The major IoT Cloud platform providers such as Amazon, Google, and Microsoft offer all-in-one solutions for data analytics, security, and network and device management. These are quite flexible in terms of customization and cost. Also, there are smaller players in the market like Blynk or Upswift that power IoT projects on budget or even for free. all.  

Stringent environmental standards and regulation

The stiffer regulations on the environment are bringing about a wider adoption and popularity of smart home apps. Certain categories of smart home systems such as smart electricity meters play an important role in local and national programs for environmental protection. These technologies need to be compulsorily installed in countries like the UK and the US. Other forward-looking countries like the Netherlands, for example, are leading the concept of smart districts where home automation technology is integrated into every single household.

Smart home Apps are built for various systems

  • HVACR systems
  • Energy management systems
  • Security systems
  • Lighting systems
  • Health and wellness
  • Home appliances and furniture
  • Virtual assistants
  • Entertainment systems
smart Home app

Suggested Reading: SMART IOT SOLUTION

Features that every smartphone app must have  

Onboarding and set up

The onboarding facility assists a customer take the first steps in using a new device — set it up, put it online, create an account and understand how the app works. Mobile apps are just the right tools for this purpose. Most smart home products have a few basic buttons and a small display or no display at all, so there’s not much room for a maneuver. Modern smartphones, on the contrary, provide endless possibilities to make onboarding fast and effortless.

User roles

Perhaps the most important app feature for smart home systems is the distribution of user roles. It is important for security systems and locks that require vigilance and special attention to who has access to the application and data. However, this feature is useful in many other gadgets which may have multiple users around the household and require different permissions and roles (e.g. admin, user, host, guest, etc.).

push Notifications

Push notifications are extremely useful if designed and configured right, or extremely annoying otherwise. This is why many truly smart systems allow customizing notifications depending on their urgency and value.

Monitoring and smart reports

IoT-enabled smart home systems collect a lot of data. One of the best things about an intelligent home is that all these systems collect data using sensors and know how to use this data. Mobile applications give access to some of this data to end-users and visualize it to make it easy to read, build reports, etc. Another interesting thing is that analytics features add value in some cases (e.g. weight monitoring in smart scale apps) and don the role of the nerve center of the whole app in others (e.g. energy management system).

Home automation apps with ML integrated

Here are some examples of Machine Learning Applications in Smart Home Automation apps:

Face Recognition

Many Smart Home security systems incorporate face recognition technology into connected video cameras. The neural networks identify facial landmarks – for instance, eyes, cheekbones, nose, and chin – in a person’s photo and compare the data to the imagery produced by cameras. An AI-based security system can successfully identify the faces of a home’s residents and send notifications about suspicious activity to a home owner’s smartphone.

Biometric Access Control

There are many Biometric door locks such as August, Kwikset (News – Alert) (News – Alert) Kevo, and Samsung (News – Alert) that can be seamlessly integrated into Amazon, Google, or Samsung Smart Home ecosystems. They usually take photos of a user’s fingertips via optical scanners and store them for matching (once again, a computer vision is required) or use two-factor authentication (fingerprints and passwords).

Natural Language Processing

Home Automation apps in many cases rely on voice recognition technology and NLP tools like Amazon Transcribe and Azure Custom Speech Service or intelligent personal assistants like Siri, Alexa, or Google (News – Alert) (News – Alert) Home. The system isolates a person’s voice from background noises, converts the audio to a digital file, and sends it to the cloud for NLP analysis. The cloud-based server then mines the meaning from other resources, as well as the Smart Home’s own database, and triggers an appropriate action.

Learning user preferences

Home automation apps powered by machine learning learn over time user preferences in the functioning of key appliances in the home such as temperature for ACs, brightness levels of light, etc.

Things to keep in mind when creating a smart home app

  • Design of UI/UX of the app
  • Development and testing of the app pre-launch
  • Post-launch monitoring, optimization, and updates

As lifestyles change and the standard of living rises, especially in urban areas, the demand for smart home automation systems and apps is only going to rise. We, at PsiBorg – An IoT App development company, are totally in tune with these developmental trends and are fully prepared to offer you the most cutting-edge Smart home app solutions


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