AI in Cosmetology: Beyond Beauty

Did you know that cosmetology is not only about looks? Scroll down to find out how cosmetology can be improved using Artificial Intelligence (AI) and how aspects you didn’t know are intertwined with this interesting field of application!

AI in Cosmetology: Beyond Beauty
Written by TechnoLynx Published on 30 May 2024

Introduction

We have already discussed in many of our articles how AI can be of great help in industries such as biotechnology, medicine, or even the food industry. Perhaps this hasn’t occurred to you, but have you considered that AI can have applications in cosmetology as well? Keep scrolling to find out more!

Mirror, Mirror on the Wall

Let’s start with something fun. You want to change your hairstyle, but you aren’t sure if it will fit you. It doesn’t matter if it is a hair colour change or length shortening. You just aren’t positive that it will compliment your face and figure. You spend hours in front of your mirror trying to decide what style will make you drop-dead gorgeous. What a dilemma!

Now, we don’t want to sound extravagant, but there is a Computer Vision (CV) application to help you solve this Gordian knot. Before we get to that, we need to recall a technology that has gained great popularity lately, which is no other than ‘virtual try-ons’ with the help of Augmented Reality (AR), a subcategory of Extended Reality (XR). If you have ever shopped online, chances are that at least once you have encountered this in stores. A typical example is when buying glasses. No face is identical to another, and even though there is some standardisation, details matter. Slightly larger cheekbones, jawline, eye distance, etc. You get the idea. A virtual try-on assistant can help you decide if a pair of glasses will suit your face from the comfort of your home. But wait, we were talking about hair styling, right? Yes, and please, let us explain. As a pair of glasses is not just a tool, but also a fashion statement, so is hairstyle. You can probably imagine that such a technology can be applied to hair styling as well, but what if we took it a step further? Let us introduce you to the latest trend, the Internet of Things (IoT)-loaded smart mirrors.

Figure 1 – A hair salon in South Korea where the hairdresser is consulting the client for haircut selection using the Samsung mirror display (Bizwire, 2016)
Figure 1 – A hair salon in South Korea where the hairdresser is consulting the client for haircut selection using the Samsung mirror display (Bizwire, 2016)

Leading companies like Samsung are the usual suspects in this development, and the results are more than intuitive! Although this technology was first developed by professionals for professionals as a problem solver for a specific task, this doesn’t mean that you can’t have it at home. Edge Computing ensures that the local infrastructure can support the device, which can double as your daily driver mirror anyway, just on steroids. An attached camera will scan your facial characteristics and the GPU-accelerated AR algorithm will take care of the rest. Connecting to databases of manufacturers or retailers, this is as close as you can get to virtual try-ons without risking making a choice that is not 100% what you have in mind. Don’t be fooled that this is the limit. AR-driven virtual try-on algorithms are not limited to hairstyles and glasses, but the entire beauty industry! Make sure to check our Fashion & Beauty article to see how AI technology can revolutionise the fashion and makeup industries by giving even product recommendations. So next time you look in the mirror, think what such a simple piece of furniture can become if we enhance it with facial recognition.

Smile With Your Eyes

We took a sip of some commercial applications of advanced AI in cosmetology. That is, however, the tip of the iceberg. The term ‘cosmetology’ is a complex word composed of the Greek words ‘κοσμητικός, meaning ‘beautifying’, and the suffix ‘λογία’, meaning ‘the study of a field’. One of the most important elements of our appearance is our teeth; yet, they are often neglected. Here are four reasons why:

  • Teeth affect our speech. If our teeth don’t match our mouth properly, our speech may sound slurred or unclear.

  • Teeth can upgrade or downgrade a smile. A happy smile is one of the first things people notice about others!

  • Teeth can reflect our overall health. Poor dental hygiene can cause serious health problems, such as severe gum disease and tooth decay.

  • Teeth can boost our confidence. If someone has missing or crooked teeth, it can make them feel uncomfortable in social situations, potentially affecting their daily life.

Someone might argue that these are just cosmetic stuff and that true beauty comes from the inside. We are with you on that; however, consider the practical side as well. If someone is uncomfortable with how they look, many people will perceive this. It is all about what we project. Studies show that children can smile up to 400 times per day, happy adults 40 - 50, while typical adults approximately 20 times; thus, we need to make each smile count! (Dental Clinic in Delhi - Best Dentists in South Delhi, 2023)

Also, how many times have you had a toothache that made eating or speaking unbearable? Good luck finding a last-minute appointment with the dentist. Anyway, things can happen. Let’s suppose you visit the dentist’s office and decide to fix your teeth radically. Cases can range from simple dental cleaning, whitening, or braces to having removals or implants.

Flash me a Smile!

Technology surely advances and all branches, including the medical branch, need to keep up with it. The same CV technology used in the mirror described above can be used by dentists who want to make the most out of every procedure, leaving only happy patients. Smart mirror applications don’t end there, and some companies are living proof of that.

Meet dentrino.ai, the brand behind the ‘TOOTH BOOTH’, a virtual try-on photo booth for cosmetic dentistry. Dentrino.ai understands the power of a genuine smile, which led to the development of an AI-powered photo booth intended to be strategically placed in the waiting room. Their innovative system requires no training to use, nor does it require operation by a professional. You simply place your face inside the frame, and you can select from various whitening, orthodontic, and cosmetic simulations. The ToothBooth generates a unique simulation for every person, taking their individual situation and facial characteristics into account!

As a dentist you might have your clients coming over for regular cleaning, but wouldn’t you agree that a visual simulation would tempt your patients to spend an extra buck for your services? Definitely a great investment in marketing your services! If you still don’t want to place the ‘TOOTH BOOTH’ in your waiting room but like the idea, thankfully, dentrino.ai has excellent customer support offering a pay-per-use on-demand service. All you need to do is upload your patient’s full-face smiling photo!

Figure 2 – The ‘TOOTH BOOTH’ by dentrino.ai (Smile Simulation)
Figure 2 – The ‘TOOTH BOOTH’ by dentrino.ai (Smile Simulation)

Let me See

Moving to the dental chair, when you open your mouth, the dentist thoroughly looks at your oral cavity. To help them do that, many dentists use dental loupes that help them see every tiny detail. But they are only humans, and humans make mistakes. CV technology is here to ensure that these mistakes don’t happen. A properly trained algorithm could identify a multitude of conditions, such as dental abscess, gingivitis, periodontitis, bruxism, and caries. Or, maybe during the preparation for a dental filling, AR-loaded loupes could show the doctor exactly where and how to apply the filling material for optimal results. Not to mention that intraoral scanners could also benefit from CV. Yes, the ones dentists have now can work just fine, but wouldn’t it be better if they could automate the process after the scan? The dentist has to make an on-demand order for the components they need to treat the patient. An Edge Computing-backed IoT scanner could easily save time by ordering everything necessary for treatment.

Funny You Should Say That

And, of course, we all know how strange, yet funny, the way we speak with our mouth open while the dentist is fixing us. Dentists spend a lot of time in front of our faces, which can be uncomfortable for some people. To break the ice, they are usually very talkative, and only God knows how they understand what we tell them. Practice makes perfect, sure, but the struggle is real. How about, then, we improve the dental loupes by incorporating a Natural Language Processing (NLP) model into them? A well-trained NLP can be used as a human-machine means of interaction, which is more or less a sophisticated translator. All the funny sounds you make during this close-quarters conversation could actually be translated in real time using Generative AI for new dentists to understand, encouraging them to continue the conversation (at the patient’s cost) to make the time you sit in the chair more pleasant (supposedly).

Touch

The third and last section of this article is dedicated to an equally important aspect of our appearance, which can also act as an overall health indicator. For those who have not guessed it yet, we are talking about the skin! Moisturised, smooth, and glowy skin can not only be irresistible to look or feel but also shows that an individual’s overall health is at a great level. Skin conditions are very common. Take a moment to examine the table of the American Academy of Dermatology below:

Table 1 – The most common skin conditions in the USA (Skin conditions by the numbers)
Table 1 – The most common skin conditions in the USA (Skin conditions by the numbers)

There are so many skin care products out there, but sometimes something shows up that makes us worried. The first thing to do is to search online (BIG ‘no no’) and then book an appointment with the dermatologist. Although the literature on skin conditions is large, they can have alterations that can be difficult to identify. There are tools that can be used by both doctors and the patient for this, powered by the almighty CV. We introduce ‘digital dermatology’.

Figure 3 – An image of erythema localisation and detection by segmentation using CV (Son et al., 2021).
Figure 3 – An image of erythema localisation and detection by segmentation using CV (Son et al., 2021).

Smartphone cameras have become powerful nowadays, and processors are only getting better. Apps that use your camera loaded with CV algorithms could easily identify many abnormalities, such as acne, atopic dermatitis, melanoma, erythema, and ichthyosis. Of course, people have disbelief and would, most likely, not trust an app-made medical diagnosis, while at the same time an app cannot prescribe medicine. However, this does not mean that physicians can’t benefit from relative applications. Medical devices could be enhanced with such algorithms to provide physicians with important information instantly by comparing images of skin conditions to huge databases. Or, to combine the best of both worlds, a cloud-based application connecting the doctor and the patient could be the golden section. A patient can have an examination performed by a professional from the comfort of their home using technology that is already available to them. In other words, we are talking about telemedicine. If you want to learn more about telemedicine and the Internet of Medical Things, you can click here!

Summing Up

AI and machine learning algorithms have endless applications and can be a worthy addition to the field of cosmetology. It can have purely cosmetic applications, such as suggesting a hairstyle or showing you how white or straight your teeth can be, but it can also be priceless in dermatology or dental applications with a purely medical purpose. Training a general AI algorithm with enough data is its biggest limitation. Apart from that, AI is limited only by the imagination of developers.

What We Offer

At TechnoLynx, we like to innovate. We proudly say that we specialise in delivering tech solutions custom-tailored to your needs. The integration of AI into cosmetology applications is something we understand better than anyone while ensuring safety in human-machine interactions, managing and analysing large data sets, and addressing ethical considerations simultaneously.

Our software solutions are precise, with our main goal being the empowerment of a plethora of fields and industries using AI-driven algorithms. Innovating is our commitment, which drives us to adapt to the ever-evolving AI landscape. The solutions we present are designed to increase accuracy, efficiency, and productivity. Feel free to contact us and share your ideas or questions with us. We will be more than happy to take up your project!

List of references

Visual Computing in Life Sciences: Real-Time Insights

Visual Computing in Life Sciences: Real-Time Insights

6/11/2025

Learn how visual computing transforms life sciences with real-time analysis, improving research, diagnostics, and decision-making for faster, accurate outcomes.

AI-Driven Aseptic Operations: Eliminating Contamination

AI-Driven Aseptic Operations: Eliminating Contamination

21/10/2025

Learn how AI-driven aseptic operations help pharmaceutical manufacturers reduce contamination, improve risk assessment, and meet FDA standards for safe, sterile products.

AI Visual Quality Control: Assuring Safe Pharma Packaging

AI Visual Quality Control: Assuring Safe Pharma Packaging

20/10/2025

See how AI-powered visual quality control ensures safe, compliant, and high-quality pharmaceutical packaging across a wide range of products.

AI for Reliable and Efficient Pharmaceutical Manufacturing

AI for Reliable and Efficient Pharmaceutical Manufacturing

15/10/2025

See how AI and generative AI help pharmaceutical companies optimise manufacturing processes, improve product quality, and ensure safety and efficacy.

Barcodes in Pharma: From DSCSA to FMD in Practice

Barcodes in Pharma: From DSCSA to FMD in Practice

25/09/2025

What the 2‑D barcode and seal on your medicine mean, how pharmacists scan packs, and why these checks stop fake medicines reaching you.

Pharma’s EU AI Act Playbook: GxP‑Ready Steps

Pharma’s EU AI Act Playbook: GxP‑Ready Steps

24/09/2025

A clear, GxP‑ready guide to the EU AI Act for pharma and medical devices: risk tiers, GPAI, codes of practice, governance, and audit‑ready execution.

Cell Painting: Fixing Batch Effects for Reliable HCS

Cell Painting: Fixing Batch Effects for Reliable HCS

23/09/2025

Reduce batch effects in Cell Painting. Standardise assays, adopt OME‑Zarr, and apply robust harmonisation to make high‑content screening reproducible.

Explainable Digital Pathology: QC that Scales

Explainable Digital Pathology: QC that Scales

22/09/2025

Raise slide quality and trust in AI for digital pathology with robust WSI validation, automated QC, and explainable outputs that fit clinical workflows.

Validation‑Ready AI for GxP Operations in Pharma

Validation‑Ready AI for GxP Operations in Pharma

19/09/2025

Make AI systems validation‑ready across GxP. GMP, GCP and GLP. Build secure, audit‑ready workflows for data integrity, manufacturing and clinical trials.

Edge Imaging for Reliable Cell and Gene Therapy

Edge Imaging for Reliable Cell and Gene Therapy

17/09/2025

Edge imaging transforms cell & gene therapy manufacturing with real‑time monitoring, risk‑based control and Annex 1 compliance for safer, faster production.

AI in Genetic Variant Interpretation: From Data to Meaning

AI in Genetic Variant Interpretation: From Data to Meaning

15/09/2025

AI enhances genetic variant interpretation by analysing DNA sequences, de novo variants, and complex patterns in the human genome for clinical precision.

AI Visual Inspection for Sterile Injectables

AI Visual Inspection for Sterile Injectables

11/09/2025

Improve quality and safety in sterile injectable manufacturing with AI‑driven visual inspection, real‑time control and cost‑effective compliance.

Predicting Clinical Trial Risks with AI in Real Time

5/09/2025

AI helps pharma teams predict clinical trial risks, side effects, and deviations in real time, improving decisions and protecting human subjects.

Generative AI in Pharma: Compliance and Innovation

1/09/2025

Generative AI transforms pharma by streamlining compliance, drug discovery, and documentation with AI models, GANs, and synthetic training data for safer innovation.

AI for Pharma Compliance: Smarter Quality, Safer Trials

27/08/2025

AI helps pharma teams improve compliance, reduce risk, and manage quality in clinical trials and manufacturing with real-time insights.

Markov Chains in Generative AI Explained

31/03/2025

Discover how Markov chains power Generative AI models, from text generation to computer vision and AR/VR/XR. Explore real-world applications!

Augmented Reality Entertainment: Real-Time Digital Fun

28/03/2025

See how augmented reality entertainment is changing film, gaming, and live events with digital elements, AR apps, and real-time interactive experiences.

Case Study: WebSDK Client-Side ML Inference Optimisation

20/11/2024

Browser-deployed face quality classifier rebuilt around a single multiclassifier, WebGL pixel capture, and explicit device-capability gating.

Why do we need GPU in AI?

16/07/2024

Discover why GPUs are essential in AI. Learn about their role in machine learning, neural networks, and deep learning projects.

Retrieval Augmented Generation (RAG): Examples and Guidance

23/04/2024

Learn about Retrieval Augmented Generation (RAG), a powerful approach in natural language processing that combines information retrieval and generative AI.

AI in drug discovery

22/06/2023

A new groundbreaking model developed by researchers at the MIT utilizes machine learning and AI to accelerate the drug discovery process.

Case-Study: Performance Modelling of AI Inference on GPUs

15/05/2023

How TechnoLynx modelled AI inference performance across GPU architectures — delivering two tools (topology-level performance predictor and OpenCL GPU characteriser) plus engineering education that changed how the client's team thinks about GPU cost.

3 Ways How AI-as-a-Service Burns You Bad

4/05/2023

Listen what our CEO has to say about the limitations of AI-as-a-Service.

Consulting: AI for Personal Training Case Study - Kineon

2/11/2022

TechnoLynx partnered with Kineon to design an AI-powered personal training concept, combining biosensors, machine learning, and personalised workouts to support fitness goals and personal training certification paths.

Back See Blogs
arrow icon