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Recognition or identification involves confirming someone’s identity, once their face has been detected within the image, by searching through hundreds of thousands of known faces in less than one second. Each match is given a score, so that you can easily sift through the response and make an informed decision. This feature answers the question "Who are the people in this picture?"

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Counting is closely linked with classification, in that it allows you to know exactly how many people have been detected within a given time frame. It works on both camera streams and groups of photos and doesn’t require identifying a specific person. The measure is simply statistical.

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Detected faces are classified depending on age, gender, ethnicity or emotion, so this feature is especially useful for retail analytics and designing digital signage with real-time targeting. Classification doesn’t seek to single out individual identities, but rather to employ built-in analytics in order to generate the demographic make-up of people in a certain area.


API-first, state-of-the-art face recognition solution

We employ a wide range of state-of-the-art techniques ranging from deep learning and neural networks to conventional machine learning algorithms and big data management to ensure a smooth experience for your face recognition and classification needs


Performance & cost-efficiency

We design our services with scalability, performance and cost-efficiency in mind. The full analysis on the average social media image takes less than 3s.


Easy, standardized integration

We like making integration simple so both you and us can focus on our core business.

Whether you are using VisageCloud on premise or in-cloud, you can plug it into your apps by calling our REST API.

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You don't have to worry about configuring heavy software or working in antiquated desktop user interfaces. VisageCloud is an API-first solution, enabling you to quickly integrate with other applications in your organization, both for the purposes of maintaining collections of known individuals' profiles and for the purpose of executing instant detection, recognition and classification of new data.

Use cases

One or more applications of facial recognition can help you achieve your business goals, but choosing the ones that generate the most relevant data depends on your industry, among other factors

Fraud prevention

Fraud prevention

While fraudulent onboarding is on the rise globally, wise risk management minimizes its effects while improving usability. Reduced user input and increased accuracy lead to better conversion rates while ensuring the seamlessness of the online experience.


Facial recognition in retail

Facial recognition in retail

A growing percentage of businesses worldwide rely on retail analytics to gain a more nuanced view of their customers. Proactive use of real-time demographic tracking helps create a more positive, custom retail experience

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Smart surveillance

Smart surveillance

Smart cameras and the analytics they generate allow you not just to maximize the efficiency of your security staff, but also to proactively minimize damage thanks to real-time notifications

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Contact us for a demo tailored to your business needs

Upload a picture of you or a friend and see who your actor look-alike is!

We have shown VisageCloud pictures of over 5000 actors and actresses, so it can tell you which actor or actress resembles you the most.

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  "_status": "Upload a picture"


We employ our expertise in deep learning, computer vision and cloud solution architecture to deliver end-to-end face detection solutions suited for your business.

  • In-cloud SaaS API
  • Just make a call to our in-cloud REST API each time your app needs to access face recognition and classification capabilities. Cloud is more affordable and allows for flexible pricing.
  • Request an API key
  • On-premise
  • Deploy VisageCloud on your own infrastructure, to reduce latency, maximize convergence and control of your data. On-premise deployments comes with a slightly higher cost of ownership but lower processing fees
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  • Custom Workloads
  • Maybe your use case is more than just simple face recognition. Maybe you want to build a new Tinder which automatically classifies faces based on how attractive they are. Whatever it is, we love a challenge. We are confident that with your imagination and our expertise we can achieve great things.
  • Contact us

Both on-premise and cloud solutions have their perks, so choosing the right one can prioritize cost, privacy or other features, depending on your business, industry and country of residence. Find out more.

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Let us explore together how VisageCloud can best work for your use case


P: +40.724.714.234

Bucharest, Romania