Parrot

Vision Iq

Realeyes 3d

Martin Lefebure

Frederic Guichard

Jerome Meniere

Thomas Derbanne

Henri Seydoux

Christophe Migliorini

Abdelmounim Belahmidi

Claire Jonchery

Anas Benabid

Jean-Baptiste Lanfrey

François Callou

The present invention relates to a system () of remotely controlled drones () fitted with respective cameras () enabling a virtual shot from an assailant drone () at a target drone () to be validated by recognizing the target drone () in a video image () supplied by the camera () of the assailant drone () while firing a virtual shot. The recognition means comprise a beacon () arranged on the target drone () and covered in two first strips () of a first color reflecting light at a first wavelength lying in the range 590 nm to 745 nm, situated on either side of at least one second strip () of a second color reflecting light at a second wavelength, lying in a range 445 nm to 565 nm. It is thus possible to identify very reliably drones flying in an open space whether outdoors or indoors, in spite of the very great variety of interfering details present in the background images that are likely to be picked up by the camera.

System of drones provided with recognition beacons

The device () for piloting a drone () comprises a housing having a tilt detector () for detecting tilts of the housing, and a touchpad () displaying a plurality of touch zones (). A self-contained stabilizer system to stabilizes the drone in hovering flight in the absence of any user commands. The device comprises a controller controlled by a touch zone () forming an activation/deactivation button to cause the drone piloting mode to switch in alternation between an activation mode in which the self-contained stabilizer system of the drone is activated, in which mode said piloting commands transmitted to the drone result from transforming signals delivered by the touch zones and a deactivation mode in which the self-contained stabilizer system of the drone is deactivated, in which mode the piloting commands transmitted to the drone result from transforming signals emitted by the tilt detector of the housing.

Device for piloting a drone

The method according the invention allows the extracting raw data from an image resulting from a camera shot. It comprises determining, for each point of the image of a combination V[C,L] of color components of the image, calculating, for each point of the image, of a value V[C,L], iterating said calculating a predetermined number of times then taking into account the values of the final image V[C, L] in each point of the image, calculating for each point of the image of the difference D [C, L]=V[C, L]&#x2212;V[C, L], calculating of a noise contextual datum V, correcting the extracted raw data D[C, L], with the contextual datum V, calculating of a corrected value I*[C, L] taking into D*[C, L] and presenting the extracted data under a desired angle.

Method for extracting raw data from an image resulting from a camera shot

A method and system for detecting an object in a zone located proximate to an interface between two liquid and/or gaseous media having different refractive indices, for example of the air/water type. The method and system produce at least a video image of the interface and the zone and produces electric signals representing each video image. Then, the electric signals are digitized and the data is processed by discriminating the data corresponding to the video image of the real object from those corresponding to the apparent video image generated by the interface.

Method, system and device for detecting an object proximate to a water/air type interface

A method for detecting new objects in a scene illuminated by lights not necessarily constrained. The method detects and produces, in particular with a video camera, in the form of electric signals, video images, at successive times, digitizes the resulting electric signals, and produces image digital data, in particular pixels, at successive times. Then, the image digitalis stored and the type of object, the trajectory, and attitude changes of the object are estimated.

Growing community of inventors

Courbevoie, France

Martin Lefebure