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Enabling Facial Recognition in Flutter Apps
The use of facial recognition has continued to grow exponentially. It is capable of identifying/verifying a person from an image or video. This technology uses Machine learning/Deep learning algorithms to compare digital images and verify individuals’ identities.
Examples of facial recognition in action:
- In the latest mobile devices, high-quality cameras have made facial recognition a viable option for authentication and identification.
- Apple’s latest mobile devices include Face ID technology that lets users unlock their phones with a faceprint mapped by the phone’s camera.
Many other use cases of facial recognition technology are currently in use.
Amazon Rekognition
Amazon rekognition is an image analysis service that is used to add facial recognition and analysis features to an application. Amazon Rekognition makes it easy to add video, image, etc., analysis to the Flutter applications. It allows you to identify a person in a photo or video and provide a fast and accurate face search capability.
It allows you to identify a person in a photo or video and provide fast and accurate face search capability.
This blog will explore the UI components needed when enabling facial recognition in a…
