How Conversational AI and IOT are Redefining the Future of Smart Homes

The worldwide connected home market is projected to grow at a CAGR of 25% from 2020 to 2025. And 86% of millennials would pay more for a connected home. [Source]

AI and IoT-enabled applications and devices are making homes more secure, comfortable, and safe. Technologies are adding a personalized touch to the home security environment and predictive automation along with predictive maintenance is enhancing customer satisfaction. 

Home automation is an in-vogue trend and AI and IOT are leading factors in the exponential growth of smart home markets. These technologies are no longer considered as luxury, in fact, they are a necessity now. 

The prices of these house-tech devices have sloped down hence they can now cater to a wider audience than just the premium sector. Cloud-based smart home intelligence is the most preferred choice among buyers. 

AI in Smart Homes

The times ahead will have AI embedded into our daily lives, a scenario opposite to this is hard to imagine. AI-powered smart home technology will be able to collect and process data based on sensors, natural language processing, computer vision sources. So the pool of knowledge and patterns understood by Artificial Intelligence will be far better than any other home security technology. 

The data collected in real-time will be used to build predictive algorithms, inference engines, and deep learning networks that will enable ai-powered smart home technology to contextualize its surroundings. 

Voice recognition systems and facial recognition technology will be some of the most basic implementations. These technologies can immediately recognize various members of a household and provide prompt responses to questions and also alter the settings to create a comfortable living environment. 

We are already used to artificial intelligence technology around us in our homes thanks to conversational AI speakers from Amazon, Google, Apple, and more. Going forward these systems will have the power to make decisions on their own on behalf of the homeowner. 

Harvard Professor Barbara Grosz, chair of the AI100 Standing Committee, believes that the future development of artificial intelligence will see such systems being designed to work collaboratively with human partners

IoT in Smart Homes

IoT enables connected devices from various sources to communicate with each other. All the connected devices can monitor the status of any device connected under the same network and provide real-time data with the help of AI. 

A home can only be called a smart home when it has a range of smart devices which can be remotely controlled. For example, the lights and air conditioner can be turned on as soon as you enter home or the smart vacuum cleaner can begin cleaning the house every day at 11am.

But the true magic surfaces when IoT joins the team. It provides all devices with internet access which broadens the possibilities of a smart home network. People can watch what’s happening inside their home through their mobile phones or laptops from anywhere, that’s the power of IoT. 

These devices also communicate with one another. For example, as soon as your car leaves the office parking lot the air conditioner starts cooling your house, this will give you such a soothing experience when you return home on a hot day.

Applications of AI and IoT in Smart Home Systems

Smart AI-Powered Speakers

The fastest-growing voice assistant categories over the next 5 years will be Smart speakers with a compounded annual growth rate of 41.3%!

Traditionally remote control systems were dominating our operations inside the house but now it’s Alexa, Siri, or other voice assistants – they are like our friends, we call them when we need help. Various tasks like changing channels, switching off lights or placing orders. 

These speakers understand the commands and respond accordingly. They are backed by Natural Language Processing technique to perform the specified tasks. 

Juniper Research report published in 2020 states that there will be 8.4 Billion digital voice assistants in use by the year 2024. This upsurge led by smartphones will overtake the world population. 

Do you want to take a sneak peek into the AI-Powered world of Mark Zuckerberg, Chief Executive Officer of Facebook? Here it is:

Smart Ai-Powered Kitchens

Would you even think of stepping out of the house to grab a burger if there is a machine in your kitchen that can prepare the most delicious burger in the world? No right? Well, check out how that will be nearly possible.

The creator is here. It is capable of creating a meal in elegant, previously thought impractical ways. Perfect patties, sauces, and seasonings measured in ways you probably don’t even care about. This is the only machine where tomatoes, pickles, and onions are sliced crisp to order. Cheese is grated directly onto the bun before it’s melted. The best part: chuck and brisket chunks are ground to order. No oxidation, just pure flavors.

Machines like these are the future of our kitchen. There is still a long way to go before we have all high-tech intelligent kitchens, but this is a great start!

Technologies like machine learning, image recognition, and data-driven predictions integrate with smart kitchen appliances to create a personalized food experience. Very soon we will be introduced to a smart fridge that can suggest recipes by scanning the available ingredients inside. AI can save time, reduce wastage and make our kitchen a happy place to stop by for a meal.

Smart AI-Powered Cleaners

AI-Powered smart home cleaners can store maps of the entire house, different floors so that users can personalize dynamic cleaning routes for each floor and room. Users can set specific cleaning areas and virtual no-go zones.

Amidst COVID-19 lockdown robot vacuums have become one of the most popular home appliances that brought happiness and convenience to homes. LiDAR SLAM navigation has now outperformed the earlier vSLAM navigation. So smart cleaners can do precise navigation and consistent working in the dim environment. 

Sharp Technologies launched their RX-V100 cleaning robot which is embedded with a speech recognition feature that enables the user to instruct the robot to clean a particular room when required and the robot can also share the status report of its cleaning through a combination of blinking lights and spoken messages. 

Check out how RX-V100 responds to the command – clean!

AI-Powered Home Bots for Crime Prevention 

AI can help in predicting and disrupting crimes before they occur. Optimizing AI technology to trigger alert systems even before a potential crime occurs. The systems are backed by a combination of neural networks, computer vision, and deep learning. 

Deep Sentinel, an American AI company that aims to sell AI-powered home security and surveillance solutions. The company is producing a series of cameras powered by deep learning that can evaluate threats on a property. 

This is the same technology used by automakers for self-driving cars and companies like Facebook use to identify people and objects within your photos.

How to Train Data for Building Smart Home AI Applications?

Advances in technologies have led to the emergence of smart home applications. Developing and validating models for such applications requires training sets that reflect a ground truth in the form of labeled or annotated data. 

There has been tremendous growth in the development of IoT applications, automated annotation processes have emerged understanding resident behavior in terms of activities. 

Training a Computer vision or NLP model for Ai-powered smart home devices requires a voluminous amount of high-quality labeled data. Which in turn needs a sophisticated enterprise-scale, cloud-based annotation system. Where you can plug your data stream from the cloud/on-prim-based databases and get labeled data with confidence scores for training the computer vision-enabled image segmentation models and accounting for a cent percent data privacy.

Here is a one-stop solution to all your machine learning needs:

Labellerr is a data-annotation platform that provides simple, clear and easy to use UI with seamless UX to perform annotation on different types of data catering to a wide array of industries, Retail, Health care, E-commerce, Hospitality, Businesses to name a few.

For your, AI needs Labellerr provides pre-trained models and products that can deliver Plug n-Play APIs with basic functionality to reach clients and can be modified on request easily and swiftly.

Leverage the auto-label feature on Labellerr to annotate your data with 10x speed and save crucial man-hours and build the future with your power-packed devices and machine learning models. 

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