Abstract: A method of radio communication of a slave device with a master device, the method comprising steps of: receiving (202) by the slave device of a connection request sent by the master device comprising first communication parameters for communicating with the master device, the communication parameters being indicative of a sequence of frequency channels to be used during successive periods to communicate with the master device, during one of the periods, implementing by the slave device of a processing capable of causing the master device to send a connection update comprising second parameters for communicating with the master device to be used in place of the first communication parameters, the processing comprising an action (210) on one of the frequency channels capable of causing the master device to detect a degradation in communication quality on the frequency channel.

Abstract: A method of authenticating an identity document based on an extraction, by analysis of an image acquired of the identity document, of candidate information representative of the appearance of a photograph such as depicted in the acquired image and optically readable data as depicted in the acquired image.

Abstract: A method for secure use of a first neural network on an input datum, the method comprising implementing, by data processing circuitry of a terminal: (a) constructing a second neural network which corresponds to the first neural network and receives at least one convolutional neural network approximating the identity function, (b) using the second neural network on the input datum. Further including a method for training parameters of the second neural network.

Abstract: The present invention relates to a terminal comprising a main body having an upper surface that is substantially horizontal; a tower extending substantially vertically from said main body, so as to define an acquisition volume delimited by said upper surface and the tower; optical acquisition means arranged within the main body so as to be able to acquire an image of a biometric print placed within the acquisition volume facing the upper surface; a user interface arranged within the tower; wherein the tower has a cavity, and the user interface comprises a screen arranged at the bottom of the cavity and a semi-reflective plate closing the cavity so as to provide the optical illusion that said screen is floating within the acquisition volume. The present invention further relates to a method for acquiring an image of a biometric print by means of the terminal.

Abstract: A method for determining an element of interest referenced by image points, the real coordinates of a point of interest in the environment of the imaging device corresponding to an image point of the plurality of image points including selecting, in the image a noteworthy image point from among the plurality of image points, the noteworthy image point corresponding, in the real environment, to a noteworthy point for which the order of magnitude of the height is known, a predefined height being assigned to the height, calculating an absolute depth of the noteworthy image point based on a triplet of components of the noteworthy image point and on the predefined height, and determining the real coordinates of the point of interest in the real environment of the imaging device, based on a triplet of components of the image point corresponding to the point of interest and on the absolute depth.

Abstract: A method for determining calibration parameters for an imaging device by way of a computer, based on at least one image having at least one person including selecting, by way of the computer, a plurality of pairs of points in the at least one image, each pair of points comprising a head point and a foot point associated with the person, and determining calibration parameters by way of the computer, using a two-dimensional estimator able to determine one of the estimated image coordinates of a head point based on the image coordinates of the foot point of a person and on the calibration parameters, determining the calibration parameters comprising minimizing an error between said estimated image coordinates of the head point and said image coordinates of the corresponding head point.

Abstract: A method including: for each image forming part of a plurality of images showing an individual, applying processing to the image so as to produce a biometric template relating to the individual; calculating an average template constituting an average of the biometric templates produced; modifying a chosen image from the plurality of images into a modified image, the modification being adapted so that an error between the average template and a biometric template produced by applying the processing to the modified image is smaller than an error between the average template and the biometric template that has been produced by applying the processing to the chosen image.

Abstract: Methods for augmenting a training image base representing a print on a background, for training parameters of a convolutional neural network, CNN, or for classification of an input image The present invention relates to a method for augmenting a training image base representing a print on a background, characterized in that it comprises the implementation, by data processing means (11) of a server (1), of steps of: (b) For at least a first image of said base, and a ridge map of a second print different from the print represented by said first image, generation by means of at least one generator sub-network (GB, GM, GLT) of a generative adversarial network, GAN, of a synthetic image presenting the background of said first image and representing the second print.

Abstract: Method for acquiring a fingerprint, performed by a device comprising an active thermal sensor when it is electrically supplied at a distance by a terminal, said sensor comprising a plurality of pixels, each pixel comprising a pyroelectric capacitor which, when it is subjected to a variation in temperature, generates electrical charges, each pixel being associated with a heating element adapted for heating said pixel and being connected to a reading circuit able to measure the electrical charges generated by said capacitor. The method relies on a taking into account of the heating element received by each pixel of said sensor (33, 34) in order to determine when said pixel is able to provide (36) a signal that can be used for generating information representing a part of a fingerprint.

Abstract: A method for exchanging information about an event located in a zone, including a step of opening a two-way communication channel, triggered by a user located in the zone; a step of an electronic device acquiring zone data including images of the event and location data of the electronic device; a step of transmitting zone data to a server; a step of the server analysing the zone data; a step of the server generating user information on the basis of the analysis; a step of feeding back information, wherein the server transmits the user information to the electronic device, in order to send the user information to the user.

Abstract: A locking assembly configured to lock a vehicle control radar with respect to a support, including a first plate which is configured to be fixedly mounted on one of the support and the vehicle control radar and which has a first face; a second plate configured to be fixedly mounted on the other one of the vehicle control radar and the support, the second plate including a second face configured to be placed facing the first face of the first plate; an end stop configured to prevent the first plate from moving in translation with respect to the second plate in a first direction along a locking direction; and a lock which is separate from the end stop and which is movable in translation along the locking direction, the lock being configured to prevent the first plate from moving in translation with respect to the second plate in a second direction which is opposite to the first direction.

Abstract: A method of detecting at least one element of interest visible on an input image, by means of a convolutional neural network, CNN, the method comprises the steps of: (a) extracting, by means of an ascending branch of a first subnetwork of said CNN of feature pyramid network, FPN, type, a plurality of initial feature maps (C1, C2, C3, C4, C5) representative of the input image at different scales, said FPN further comprising a descending branch and lateral connections between the ascending branch and the descending branch, at least one lateral connection comprising an attention module; (b) generating, by means of said descending branch of the FPN, a plurality of enriched feature maps (P2, P3, P4, P5) also representative of the input image at different scales, each enriched feature map (P2, P3, P4, P5) incorporating the information from the initial feature maps (C1, C2, C3, C4, C5) of smaller or equal scale; (d) detecting at least one element of interest visible on an input image, by means of a second subnetw

Abstract: A method for detecting at least one biometric trait visible in an input image, by means of a convolutional neural network, the method wherein it comprises the implementation, by data processing means of a client, of steps of: (a) Generating, by means of a feature extraction block of said CNN, a plurality of representation vectors each defining a candidate region of interest of said input image potentially containing a biometric trait, the representation vector of a candidate region of interest comprising at least one position value of the candidate region of interest, at least one size value of the candidate region of interest, an orientation value of the candidate region of interest, and an objectivity score of the candidate region of interest; (b) Selecting, by means of a filtering block of said CNN, at least one region of interest from said candidate regions based on the representation vectors thereof.

Abstract: The present invention relates to a method for classifying a biometric trait represented by an input image, the method being characterized in that it comprises the implementation, by data processing means (21) of a client (2), of the steps of: (a) Determining, for each of a predefined set of possible general patterns of biometric traits, by means of a convolutional neural network, CNN, whether said biometric trait presents or not said general pattern.

Abstract: A device for capturing a biometric print of a user, the user compartment including a frontal opening designed for the passage of part of a hand into said user compartment and a lateral opening allowing the passage of the thumb of the user's hand, the lateral opening extending as far as the frontal opening to form a continuous open space, the lateral opening being delimited in a direction of insertion of the user's hand into the user compartment by a user hand positioning stop.

Abstract: A biometric capture device having an optical block integrating an acquisition surface, an optical acquisition system arranged so that a first light ray propagating, outside the optical block, along an optical axis of the said optical acquisition system forms at the level of the acquisition surface, an angle with respect to a normal to the acquisition surface of a value greater than a critical angle depending on the refractive indices of the optical block and of the air, the optical system also being arranged so that the optical axis forms an angle with respect to a normal to the exit face less than said critical angle, an illumination system configured to provide illumination of the acquisition surface, the illumination system generating a light beam defined by an illumination axis, a second light ray propagating along the illumination axis out of the optical block.

Abstract: The present invention relates to a method for learning parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation, by means for processing data (11) of a server (1), of steps consisting of: (a1) Learning, from an already classified learning database, the parameters of a CNN, called quantized CNN, such that said parameters are valued in a discrete space; (a2) Generating a white-box implementation of at least one layer of said quantized CNN, said white-box implementation being predetermined based on at least one of said learned parameters. The present invention also relates to a method for classifying an input datum.

Abstract: A method of secure classification of input data by a convolutional neural network (CNN), including (a) determination, by application of the CNN to the input data, of a first classification vector associating with each of a plurality of potential classes a representative integer score of the probability of the input data belonging to the potential class, the first vector corresponding to one possible vector, each possible vector of the first set associating with each of the plurality of potential classes an integer score; (b) construction, from the first vector, of a second classification vector of the input data, such that the second vector also belongs to the first space of possible vectors and has a distance with the first vector according to a given distance function equal to a non-zero reference distance; and return of the second vector as result of the secure classification.

Abstract: The present invention relates to a device (1) such as a connected object comprising a first electronic circuit (2) comprising: a first processing unit (6) for executing a program, a first memory (8) for memorizing data during the execution of the program, a debug port (10) dedicated to checking the execution of the program from outside the first circuit, a second electronic circuit (4) connected to the debug port (10), comprising: a second memory (14) memorizing reference data related to the program, a second processing unit (12) for implementing the following steps automatically and autonomously via the debug port (10): checking the integrity of the data memorized by the first memory (8) and/or the compliance of the program's execution by the first processing unit (6) with a reference execution, assisted by the reference data.

Abstract: The present invention comprises an enrolment method comprising steps of: acquisition (100) of an image showing a photograph itself showing an individual, extraction (102), from the image of a characteristic of the image other than a biometric model, obtaining (104) personal data of the individual other than by the image-processing algorithm, generation (106) of a reference datum (W) from the characteristic of the image and the obtained personal data, calculation (108) of an encoded datum (s) by application of an encoding procedure to the reference datum (W) and to a random datum (c), calculation (110) of a hash (h(c) of the random datum, storage (112) in a database of the datum encoded (s) in association with the hash. The invention also comprises an identity-control method using such stored data.