Neural networks used in LUNA ID

In LUNA ID, neural networks provide efficient and accurate processing of faces in images and video streams. Neural networks are stored in .plan files.

The table below shows the .plan files used in LUNA ID for Android and iOS and functionality that the files cover.

.plan file	Feature name	Description	More information
			Android	iOS
angle_estimation_flwr_arm.plan	Head pose estimation	Determines person head rotation angles in 3D space, that is pitch, yaw, and roll.	BestShotQuality Estimation	BestShotQuality Estimation
ags_angle_estimation_flwr_arm.plan	BestShotQuality estimation	Evaluates image quality to choose the best image before descriptor extraction. The BestShotQuality estimator consists of two components - AGS (garbage store) and Head Pose.
ags_estimation_flwr_arm.plan	AGS estimation	Determines the source image score for further descriptor extraction and matching.
eye_status_estimation_flwr_arm.plan	Eye state	Determines the eye state: open, closed, occluded.	Eyes Estimation	Eyes Estimation
eyes_estimation_flwr8_arm.plan	Eye state estimation	Determines the following eye state and keypoints: Eye state: open, closed, occluded. Precise eye iris location as an array of landmarks. Precise eyelid location as an array of landmarks.
FaceDet_v2_first_arm.plan	Face detection	Detects a face in an image and shows a rectangular area around the detected face. The neural networks should be launched consequently.	Face Detection	Face Detection
FaceDet_v2_second_arm.plan
FaceDet_v2_third_arm.plan
glasses_estimation_flwr_arm.plan	Image glasses estimation	Determines whether a person is currently wearing glasses.	Glasses estimation	Glasses estimation
mask_clf_v3_arm.plan	Medical mask estimation	Determines whether a person is currently wearing a medical mask on the face.	Medical Mask Estimation Functionality	Medical Mask Estimation Functionality
model_subjective_quality_v1_arm.plan	Image quality estimation	Determines an image quality by the following criteria: The image is blurred. The image is underexposed, that is, too dark. The image is overexposed, that is, too light. The face in the image is illuminated unevenly and there is a great difference between dark and light regions. The image contains flares on face, that is, too specular.	Image Quality Estimation	Image Quality Estimation
model_subjective_quality_v2_arm.plan

Configuration options of the supported features are stored in the faceengine.conf file. The file locates in "data/faceengine.conf" in current working directory.

Warning! We do not recommend that you change any configuration settings from default ones as these settings affect performance and output results of your application.

For more information about the settings stored in the faceengine.conf file, see:

• For Android: Settings
• For iOS: Settings