What is Face Recognition API?

Face Recognition API is the process of identifying or verifying the identity of an individual by analyzing and comparing their facial features with a database of known faces. It involves capturing an image of a person's face and using algorithms to analyze and extract unique facial features, such as the distance between the eyes, the shape of the nose, and the contours of the face. These features are then compared to a database of known faces to identify or verify the person's identity (some providers give the ability to mask the identity of the person detected in order to protect their privacy).

Different from Face Detection API, which locates faces in an image, Face Recognition API is about matching faces with a specific person or identity.

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Face Recognition APIs uses cases

You can use Face Recognition in numerous fields, here are some examples of common use cases:

• Automotive: develop driver identification system and personalization of in-car settings.
• Biometric authentication: enhance security and authentication for applications such as mobile payments, access control, and identity verification.
• Education: build student identification system and improve attendance tracking in schools and universities.
• Entertainment & augmented reality: improve augmented reality experiences, virtual try-on, and other personalized experiences.
• Banking and finance: improve biometric authentication and fraud prevention.
• Healthcare: assist with patient identification, tracking, and control access.
• Law enforcement: identify suspects or persons involved more easily.
• Marketing and advertising: collect data on consumer demographics and behavior, allowing for more personalized advertising and promotion.
• Security and surveillance: identify individuals in security cameras and monitor for potential security threats.

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Best Face Recognition APIs on the market

While comparing Face Recognition APIs, it is crucial to consider different aspects, among others, cost security and privacy. Face Recognition experts at Eden AI tested, compared, and used many Face Recognition APIs of the market. Here are some actors that perform well (in alphabetical order):

• Amazon Rekognition
• Face++
• Kairos
• Luxand
• Microsoft Azure Face
• Skybiometry

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1. Amazon Rekognition - Available on Eden AI

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Amazon Rekognition provides developers with a fast, accurate, and scalable solution for analyzing and identifying faces in images and videos. Their Face Recognition API uses Deep Learning algorithms to identify faces with high precision and can even recognize faces in crowded or low-light environments.

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2. Face++ - Available on Eden AI

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Face++'s API is a flexible and potent solution for facial recognition and analysis purposes. In addition to basic recognition capabilities like gender, age, and emotion detection, the API also provides sophisticated functionalities such as robust recognition algorithms that account for lighting, pose, and facial expression. As a result, it can cater to various applications.

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3. Kairos

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The technology developed by Kairos is a highly capable and adaptable solution for analyzing and recognizing faces, offering advanced features such as age, gender detection, and customizable parameters. The API also offers Anti-Spoof Detection functionality to enhance security by verifying the authenticity of faces. Moreover, Kairos' Diversity Recognition feature provides deeper insights into the diverse characteristics of the human face, making it a highly adaptable and capable solution.

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4. Luxand

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Luxand's Face Recognition API identifies human faces in images or videos, and can be used for security applications like video surveillance and access control systems. It creates templates for faster searching and works well under different lighting conditions. Furthermore, the technology's new set of motion-based recognition algorithms provides higher performance and additional features for video-based surveillance systems.

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5. Microsoft Azure Face

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The API leverages Microsoft's state-of-the-art artificial intelligence and machine learning technology to provide accurate and reliable facial recognition, detection, and analysis. Additionally, it provides developers with a flexible and scalable platform that can be easily integrated with other Azure services.

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6. Skybiometry

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Skybiometry provides an API that allows for quick and accurate Face Recognition results. The technology is crafted to integrate effortlessly with diverse applications and platforms, ranging from web and mobile applications to security and surveillance systems. Additionally, their API operates on a pay-per-use basis, allowing users to only pay for what they use, without any upfront costs or commitments.

Try these APIs on Eden AI

Performance variations of Face Recognition APIs

For all companies who use Face Recognition in their software: cost and performance are real concerns. The Face Recognition market is quite dense and all those providers have their benefits and weaknesses.

Performances of Face Recognition vary according to the specificity of data used by each AI engine for their model training. The performance can also vary according to the quality of the image or lightning condition.

Bear in mind that if the user has very specific data, not all provider's engine will be able to process images accurately. If you have customers coming from different fields, you must consider this detail and optimize your choice of provider.

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Why choose Eden AI to manage your Face Recognition APIs

‍Companies and developers from a wide range of industries (Social Media, Retail, Health, Finances, Law, etc.) use Eden AI’s unique API to easily integrate Face Recognition tasks in their cloud-based applications, without having to build their own solutions.

Eden AI offers multiple AI APIs on its platform among several technologies: Text-to-Speech, Language Detection, Sentiment Analysis, Face Recognition, Question Answering, Data Anonymization, Speech Recognition, and so forth.

We want our users to have access to multiple Face Recognition engines and manage them in one place so they can reach high performance, optimize cost and cover all their needs. There are many reasons for using multiple APIs :

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• ‍Fallback provider is the ABCs: You need to set up a provider API that is requested if and only if the main Face Recognition API does not perform well (or is down). You can use confidence score returned or other methods to check provider accuracy.
• ‍Performance optimization: After the testing phase, you will be able to build a mapping of providers’ performance based on the criteria you have chosen (languages, fields, etc.). Each data that you need to process will then be sent to the best Face Recognition API.
• ‍Cost - Performance ratio optimization: You can choose the cheapest Face Recognition provider that performs well for your data.
• ‍Combine multiple AI APIs: This approach is required if you look for extremely high accuracy. The combination leads to higher costs but allows your AI service to be safe and accurate because Face Recognition APIs will validate and invalidate each other for each piece of data.

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How Eden AI can help you?

‍Eden AI has been made for multiple AI APIs use. Eden AI is the future of AI usage in companies. Eden AI allows you to call multiple AI APIs.

• Centralized and fully monitored billing on Eden AI for all Face Recognition APIs
• Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
• Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
• The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
• Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

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You can see Eden AI documentation here.

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Next step in your project

The Eden AI team can help you with your Face Recognition integration project. This can be done by :

• Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
• By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
• By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
• Having the possibility to integrate on a third-party platform: we can quickly develop connectors

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