Lumileds LLC

Erkan Diken

Nicola Bettina Pfeffer

Arjen Gerben Van Der Sijde

Rob Jacques Paul Engelen

Marcus Hendrikus Adrianus Van Steen

Wilhelmus Johannes Robertus Van Lier

An illumination arrangement in a mobile device is provided that uses an artificial neural network (ANN) to correct an image of a scene. The mobile device has an illumination apparatus with an LED array that emits light to illuminate a scene. The LED array has LEDs, separated by borders, that are independently driven. A camera has a sensor to capture an image of the scene. The ANN has a training mode in which the ANN is trained using a set of images captured by the camera to generate parameters. The ANN is trained offline in a cloud network. A processor uses the trained ANN in an inference mode to correct the image.

LED array optimization using artificial neural networks

A driver system controls a plurality of light emitting diodes (LEDs). The driver system includes a first driver to provide an LED current to each of the plurality of LEDs. The first driver includes a current mirror for the LED current provided to the plurality of LEDs. The driver system also includes a second driver to modulate the LED current provided to the plurality of LEDs.

Active matrix hybrid microLED display

An apparatus includes a neuromorphic vision unit, an array, and a controller. The neuromorphic vision unit includes a plurality of pixels to photoelectrically produce data based on light received from an object in a scene. The array includes a plurality of light sources. The controller controls the plurality of light sources at one of a plurality of granularities, at least in part based on the data.

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Eindhoven, Netherlands

Erkan Diken