Try the New Cosmetic and Beauty Products with Augmented Reality!

Remember this scene? A magic mirror to tell the queen if she was the undisputed beauty in the land? A mirror that can point out flaws or simply praise in awe of her beauty. I believed these things only happened in fairy tales but here we are in this world driven by technology where this is now a reality.

Innovations like these are most sought after by Cosmetic and Beauty brands across the globe. This emerging trend has spiked an interest in the adoption of Augmented Reality based solutions. 

The golden age of the beauty industry is here. Technologies like Artificial Intelligence, Augmented Reality and Virtual reality are here to lead the industry into its much glorious future. Besides, COVID-19 has rapidly accelerated AI’s entry into the public beauty domain. 

Fashion Shoops, a global trend forecasting agency said “ New challenges demand innovative solutions and technology is innovating as our lives shift onto digital platforms”

Lets start by understand answer to this most popular question:

How is AR with AI revolutionising the Cosmetics and Beauty Industry?

Global cosmetics market to be worth $805.61 Billion by 2023. With in-store sales experiencing a steep decline brands are heavily investing in online technology that will help their customers have the almost near in-store shopping experience. 

Research has revealed that products for skincare, haircare, and fragrances are the most sold products online. Led by the skincare department, which has the largest market share in the current times. Another addition here is the division of oral cosmetics which will overpower the skincare segment in the coming days. 

Here is how Artificial Intelligence technology comes into play here to help brands increase their sales:

  1. Intelligent Recommendation Engines are bring used to suggest highly customized picks for each consumer so they spend less time in finding the right product for their skin. 
  2. Augmented Reality is the future of the beauty and cosmetics industry and once powered by Artificial Intelligence it can offshoot the sales like never before.
  3. People love to have conversations while choosing the right product for their skin and Natural Language Processing comes in handy here. With conversational AI people can talk to the bot and have conversations and suggestions regarding the beauty and skincare products that possibly can suit them the best. 

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Experts predict spending for AI in the beauty industry will grow to $7.3 billion by 2022. And by infusing Augmented Reality I am sure the surge is going to be much higher. Here are the few use cases I would like to explore with you in this blog along with an overview of the Cosmetics and Beauty companies that have already adopted it.

  1. AR-powered virtual Makeup try-on of multiple products to see the final effect post-purchase
  2. Individualized hair and skin analysis with AR
  3. Real-time assistance from makeup experts and AR to try on those suggested products in real-time. 

Google’s AR-powered Make-up Try on Feature

James Charles, my personal favorite beauty influencer who wears makeup that blends perfectly with the outfit she wears. I always wished to know how I could purchase the products she wears? 

Google realized this was the exact feature most of the shoppers wanted. So it now lets you virtually try on makeup using AR and shop from influencer videos! 

In collaboration with top beauty brands like L’Oréal, Estée Lauder, MAC, Black Opal, and Charlotte Tilbury. Google has introduced an app that lets consumers try on makeup shades across the range of offerings using mobile cameras consumers have. 

ModiFace is the partner who brings on board the refreshing AR technology along with Perfect Crop, the makers of the sensational YouCam makeup app. 

Image Credits: Google

A feature worth checking out! Before we transition into the future this might just become a ‘new norm’.

Individualized hair and skin analysis with AR

Neutrogena’s Skin360 or Clinique’s Clinical Reality app is most sought after for people to get recommendations to make their skin look better from the comfort of their home. These brands are using AR to showcase the futuristic impact of the chosen or suggested product on the surface of the skin of the user after months of application. 

Basically, do you remember this ‘How would you look when you grow old or How did you look when you were young’ kind of apps? The ones that made quite a fuzz on Facebook. Well, this is exactly that, in a more realistic way. 

Customers can watch the transition happen to their skin via AR, this is taking beauty personalization to a whole new level. It is proven to significantly increase the probability of purchase.

With all the data brands collect, the AR app collects information about the skin type, tone, texture, product preferences, past purchases, and more about every consumer. With the use of AI brands can recommend specific products to each customer and achieve the benefit of the phrase ‘specific is terrific’.

Beauty Advice or Tips this AR Assistant Will Help you With the Best Advice

Image Credits: L’Oréal

Book a live consultation with L’Oréal’s beauty consultants via a video chat and enhance your shopping experience. With the adoption of AR-powered advanced facial recognition technology, the consultants can also show how the recommended products will work on the skin of consumers. 

Tailoring the advice to consumers’ specific beauty needs this app will be launched in 65 more countries. The brand aims to break down the silos of digital and physical retail, finally blending the best of two worlds. 

Let’s drill down further to understand what type of data does Augmented Reality Use?

Training Dataset for Augmented Reality Technology

3D computer vision tasks like facial recognition, object detection need voluminous and high-quality labeled 3D scans for training and testing purposes. To elaborate on the current method of training these datasets to require:

  1. Scanning the environment
  2. Transferring the resulting point cloud or mesh to a separate tool
  3. The tool further annotates using semantic information, this is a time-consuming process. 

Augmented Annotations are found to be a novel approach to bounding box data annotation. It is reliable to solve the scanning and annotation process of an environment in parallel. 

To get your hands on state-of-the-art 3D data annotation check out Labellerr. 

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. 

Leverage the auto label feature on labeller to annotate your data with 10x speed and save crucial man-hours.

Click here and start labeling now!

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