Face Recognition iOS

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The Solution

An entertaining mobile application uses a neural network for facial recognition.

Facial recognition works by measuring the unique characteristics of a user’s face and then comparing the source data with an existing database of entries. First, the app detects the picture frame with the user’s face. Then the neural network detemines user’s face landmarks, which are a 128-dimensional array. Then the application determines the similarity between the input face landmarks and the landmarks of other users, stored in the database.

The iOS Face Recognition app uses a cloud server as a back-end. This allows for increasing the face recognition speed, delivering the results in real-time.

ABCloudz utilized Swift to build the iOS application. We leveraged an open-source dlib library and two already trained neural networks to find the faces on the pictures and extract the face landmarks.

iPad, iPhone
ARKit, Dlib, Face detection, Face recognition
Entertainment, Multi Media, Photo
Service Provided

  • iOS client development
  • Back-end and front-end development
  • Software design and architecture
  • Deployment
  • Quality assurance

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