Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.

Abstract: One aspect is a device for processing a filament in a process stream, including at least one processing beam source, designed and arranged for emitting at least one processing beam which is suitable for processing a segment of the filament by interaction of the at least one processing beam with the segment of the filament, thereby obtaining a processed filament. The device includes a guide, including a filament feed which is arranged upstream of the at least one processing beam source, and is designed to feed the filament from a feed reel. The guide is designed and arranged to guide the filament so that during the processing the segment of the filament inclines an angle with a vertical axis in the range from 0 to 45°.

Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.

Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.

Abstract: A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.

Abstract: One aspect is a device for processing a filament in a process stream, including at least one processing beam source, designed and arranged for emitting at least one processing beam which is suitable for processing a segment of the filament by interaction of the at least one processing beam with the segment of the filament, thereby obtaining a processed filament. The device includes a guide, including a filament feed which is arranged upstream of the at least one processing beam source, and is designed to feed the filament from a feed reel. The guide is designed and arranged to guide the filament so that during the processing the segment of the filament inclines an angle with a vertical axis in the range from 0 to 45°.