Face Recognition

7 Face Recognition Online Tools Ready to Use with Your Apps and Products

Advances in Artificial Intelligence (AI) and computer processors have opened new ways for face recognition online services not possible before.

Startups all over the world are developing Apps and products that make use of Face Recognition. Moreover, they are bringing products into the market with user authentication, attendance tracking and photo grouping (for event photographers) capabilities, to name a few.

Face Recognition Online software components are challenging to develop in-house. For this reason, it makes sense for startups and software companies to buy this capability from specialized vendors.

Companies such as Microsoft, Amazon, and new players like Kairos, Betaface and BioID are leading the effort. They provide Software Development Kits (SDK) and Application Program Interfaces (API) that make Face Recognition more accessible to Apps and products.

SDK becomes ingrained with your software and products, while APIs are web services that your Apps can make use of over the internet.

Do you want to add Face Recognition capability to your software? So you can reap the benefits of these new opportunities.

Read on, check out our list of 7 Face Recognition Online Tools Ready to Use with your Apps and Products.

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Online Facial Recognition Search

In this post, we highlight 7 facial recognition tools you can integrate with your apps and software. However, there is also a series of online tools for facial recognition search that we cover in a separate post.

As the top search engine in the world, Google is the first natural place to look when searching for images. Check out our post about how to do a face search on Google. Additionally, Google can help you search and classify your personal photos by similar faces, identifying groups with the same person. Check out our blog post about Google face recognition photos.

Also, check out our post about 8 Facial Recognition Search Engines for Tracking Picture Use Online.

Face Recognition Apps

Also, this post does not show end-user applications. If you’d like to see some examples of what developers can do with facial recognition, check out our post about:

Moreover, check out our Face Recognition Online Banking Guide For Business Leaders to learn how banks have adopted this technology.

7 Face Recognition Online Tools

1. – Kairos Face Recognition Online

Kairos is a face recognition online platform that gives access to various face analysis algorithms. Above all, they aim to help developers and businesses build face recognition into their apps and software.

Kairos Face Recognition Online

Some of the Kairos capabilities are:

  • Face Detection: Find human faces in photos and images.
  • Identification: Search for face matches and answer, “Who is this.”
  • Verification: Search for someone’s face. For example, “Is this Elizabeth?”
  • Age Detection: Detect age group, for example, Child, young adult, adult or senior.
  • Gender Detection: Detects if each face found is male or female.
  • Multi-face Detection: Detects individuals, crowds, audiences and groups.
  • Facial Coordinates: Size, pitch, roll, yaw and other face landmarks.
  • Face Grouping: Organize faces for easy searching, sorting and matching.
  • Diversity Recognition: Understand more about the diversity of the human face.

Kairos is available as a Cloud API or as SDK for offline integrations (on your premises). In addition, they are a paid software service, with plans that start at $500 a month.

Follow this link to check out the Kairos Website.

2. – Amazon Rekognition.

Amazon Rekognition is Amazon Web Services (AWS) image classification and face recognition online API. It allows developers to integrate facial recognition capabilities.

Amazon Rekognition

Here are some of the Amazon Recoknition features:

  • Face Analysis: You can analyze face attributes in images and videos, such as happiness, age, facial hair, eyes, with or without glasses. In videos, you can also measure changes in attributes through time.
  • Facial Recognition: Using your databases of facial images, you can identify a person in a photo or video.
  • Face-Based User Verification: Compare live images with a reference image to verify user identity.
  • Face Search: Amazon Recoknition stores Face attributes as metadata, which allows you to set up face searches. As a result, users may upload photos and Amazon Recoknition would use its characteristics (stored as metadata) to find similar faces.

New Amazon Recoknition subscribers can process 1.000 minutes of video and 5.000 images a month for free during their first year. Beyond that, average prices are $0.1 per minute of footage and $1 per 1.000 processed images. For image processing, lower-tier prices are available for users reviewing more than a million monthly reviews.

For more information, visit the Amazon Rekognition website.

3. – Face Recognition Online Azure

Face API is the face recognition online solution for developers from Microsoft Azure. It provides software components to integrate facial recognition in Apps and products. As a result, developers can use Face API, both on-premises and as a software service in the cloud.

Face Recognition Online Azure

Following is a list of some of the things that Face API can do:

  • Face Verification: Compare two faces to determine if they are the same person. Face API provides a confidence score that your App or Software can use to make decisions.
  • Detection: Detect one or more faces in a given image. Get back rectangles of the face’s location and face attributes such as age, emotion, gender, pose and smile.
  • Face Identification: Locate, search and match faces in your private repository of up to 1 million people.
  • Emotion Recognition: Confidence scores about emotions from each face, including anger, contempt, disgust, fear, happiness, neutral and surprise. Also, Face API takes into consideration cross-cultural factors.
  • Similar Face Search: Given a collection of photos and a query with a face, it can perform photo face recognition to find similar-looking faces.
  • Face Grouping: Organize faces into groups based on their similarities.

Face API offers 30.000 free transactions per month. Then, it costs $1 per 1.000 processes, with lower-tier prices beyond 5 million.

Visit the Face Recognition Online Azure website for more information.

4. – Betaface

Betaface is a German face recognition technology vendor. Their software is available as a web service (API) or a Software Development Kit (SDK) to integrate with your software and Apps.

Betaface Face Recognition

Here are some of the Betaface API functionality:

  • Works through a web service (HTTP).
  • You can upload images and retrieve image metadata.
  • Create face recognition databases and namespaces.
  • Fundamental face detection through face recognition (identification, verification or matching).
  • Search persons and verify identities.
  • Biometric measurements.
  • Face analysis.
  • Face and facial features tracking on video.
  • Age, gender, ethnicity and emotion recognition.
  • Skin, hair and clothes color detection.
  • Hairstyle shape analysis and facial features shape description.

Betaface offers a free plan of up to 500 images a day. Paid plans start at 199 Euro for up to 40.000 images a month.

Follow this link to check out Betaface on the web.

5. – BioID

BioID is a German company specializing in authentication by Face Recognition. That means using faces instead of passwords to allow access to systems and resources. The company defines itself as a Biometric as a Service (BaaS) provider with technology developed in-house.

Face Login App BioID

With BioID APIs, developers can integrate biometric authentication into their software and applications.

Some of the products offered by BioID are:

  • BioID Web Service (BWS): Makes a variety of biometrics authentication possible, such as by face, eye and voice. BWS is cloud-based, private and secure by design.
  • BioID Mobile App: Mobile authenticator to log in to apps and websites using the BioID SaaS. As a result, you can easily add biometric authentication to your apps.
  • Liveness Detection: Biometric technologies can also be vulnerable to perpetrators attempting unauthorized access. Liveness detection can distinguish images or videos trying to mimic a real person to gain access to your system or App.
  • PhotoVerify: Technology to verify whether a person on an ID photo is the one looking at the camera (ID photo verification). Use liveness detection (mentioned above) to detect when a person places a photo or video to fool the system. Developers can integrate this technology into their websites or AI mobile Apps.

Applications of Biometric Authentication

Biometric authentication has many applications, such as:

  • Login for online banking or other services.
  • Electronic document signing or online legal transactions.
  • Online renewal of identity documents (ID cards, passwords, among others).
  • Verifying attributes such as age, home address, among others.
  • Proof of life verification for recipients of pensions or other benefits.

For information about pricing or other questions, visit the BioID website.

6. – Skybiometry Face Recognition Online

Skybiometry is a Face Recognition provider specializing in biometrics. Skybiometry is a spin-off of Neurotechnology, a Lithuanian Biometrics and computer vision company.

Face Recognition Online SkyBiometry

Some of the features of Skybiometry are:

  • Face Detection: Submit an image, hover your mouse, or tap on detected faces to see their attributes. Images are not stored to ensure privacy user privacy.
  • Face Recognition: Choose two different images, and Skybiometry API will match faces and show a degree of confidence. For example, you could develop an application that matches a face presented on an access control point with a photo id or archived photo.
  • Face Grouping: Choose several photos and group them by appearing persons.

Skybiometry has a free plan allows up to 5.000 API calls per month. Paid plans start from 50 Euros monthly and allow up to 40.000 API calls per month, with 0.0125 Euros for additional requests.

Check out the Skybiometry website for more information.

7. – Face X

Face X is an Indian company that provides a web service for face detection and verification. You can integrate the API into your Apps and software products with a few lines of code. Then, Face X allows submitting images either by uploading the file or a URL of its location.

Face Recognition Online Face X

Company headquarters are in Bangalore, India.

The Face X web service can perform the following:

  • Face Detection: Find all faces in a picture.
  • Face Verification: Compare faces across two pictures.
  • Image Attributes: Identify face gender, age, facial landmark and other 128 features from faces.

They have a free plan that allows up to 5.000 web service calls per month. Also, your Apps must be for non-commercial use. Paid plans start at $49 with up to 40.000 calls a month and include priority email support.

Follow this link and visit the Face X website to find more information.

Face Recognition Pros and Cons

But before we show you the list, it is essential to mention that face recognition technology has a fair share of people who favor it. Yet, it also has many detractors. To stay informed, check the following posts:

Bring Face Recognition Capabilities into Your Apps and Software Products.

As you can see from the APIs and Web Services that we have shown, there are many options to choose from the market.

Various services have many capabilities and focus. Some are for building custom models while others focus on specific areas, like Biometric Authentication.

The idea behind these APIs is that you, as a software developer or business, don’t need to reinvent the wheel. Instead, you go to a specialist that provides ready-made web services that you can communicate with over the internet.

Face Recognition has many applications, authentication, face search, photo grouping, you name it. Therefore, pick a service that best fits your needs and get Face Recognition for your Apps, products, and services.

To see some examples of what you could accomplish with these services, check out our post about 10 free face recognition apps for Android to boost your business and our post: 10 Facial Comparison Apps for Family and Friends Fun. Furthermore, check out our Face Recognition Online Banking Guide For Business Leaders.

One of the subsets of facial recognition technology is facial recognition search engines. To learn more about it, check out our post about 8 Facial Recognition Search Engines for Tracking Picture Use Online.

Are you planning to develop an App and want to use face recognition? Which API do you plan to use and why? Share your experiences and thoughts on Face Recognition Online in the comments below.

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References

Bobriakov, Igor. Comparison of Top 6 Cloud APIs for Computer Vision. Originally published in activewizards.com

Katte, Abhijeet. Top 5 Face Recognition And Detection API Services. Published in Analytics India Magazine.

Virdee-Chapman, Ben. Face Recognition: Kairos vs Microsoft vs Google vs Amazon vs OpenCV. Published at Kairos Blog.

Walling, Alex. Top 10 Facial Recognition APIs off 2019. Published in Rapidapi.com

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