Abstract: A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

Abstract: A method of training a neural network stored on a computer-readable storage medium to classify objects in a bulk flow, the method including: providing input image data depicting objects to be classified, which input image data is captured by means of an input imaging sensor of a first sensor technology design; providing auxiliary image data, which auxiliary image data is captured by means of an auxiliary imaging sensor of a second sensor technology design, and which auxiliary image data depicts said or similar objects which are classified in accordance with a predetermined classifying scheme; by means of a processing unit, train the neural network stored on the computer-readable storage medium to classify the depicted objects in the input image data based on classifications of depicted objects in the auxiliary image data, wherein the depicted objects in the input image data correspond to objects in a bulk flow.

Abstract: An apparatus for detecting matter including: a light source arrangement adapted to emit a first and a second set of light beams towards a first detection zone through which the matter is provided. A spectroscopy system adapted to receive and analyse light which is reflected and/or scattered by matter in the first detection zone. A laser triangulation system including, a laser arrangement adapted to emit a line of laser light towards a second detection zone. A camera-based sensor arrangement configured to receive and analyse light which is reflected and/or scattered by matter in the second detection zone. The received light of the spectroscopy system completely or partially intersects the received light of the camera-based sensor arrangement and/or the line of laser light.

Abstract: The present invention relates to an apparatus for classification of matter comprising: a scanning element is configured to redirect the at least one illumination beam and to shift a plurality of inspection zones and an irradiated area relative said matter in the first direction. A processing circuitry configured to execute: a second zone collection function configured to collect second zone data based which pertains to said optical radiation emitted by said matter in the second inspection zone, a third zone collection function configured to collect third zone data based which pertains to optical radiation emitted by said matter in the third inspection zone, a classification function configured to classify said matter based on the second zone data and the third zone data.

Abstract: We provide an apparatus for detecting matter comprising: An irradiation arrangement adapted to emit one of a first and a second set of illumination beams towards a detection zone where the matter is provided. A detection system receives and analyzes light reflected, emitted and/or scattered by matter in the detection zone. A switching device comprising a carrier movable between a first position, wherein the only the first illumination device in an active illumination position, and a second position wherein only said second illumination device in said active illumination position, and wherein said irradiation arrangement is configured to emit an illumination beam only from the one of said first and second illumination devices arranged in said active illumination position and an actuator for physically moving said carrier from said first position to said second position based on the condition of said first illumination device and/or in response to user-initiated input.

Abstract: A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

Abstract: A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

Abstract: A nozzle device for sorting objects by ejecting a gaseous media towards said object. The nozzle device nozzle device including: a nozzle unit including at least one nozzle; a nozzle bar including gas supply means for providing a gaseous media to said nozzle unit; and a nozzle fixation bracket adapted for holding said nozzle unit in place; said at least one nozzle including: an inlet for receiving the gaseous media; and having one outlet, having an outlet area, for ejecting the gaseous media towards an object to be sorted; a channel extending between said inlet and said outlet; an outlet portion surrounding at least said outlet, wherein said outlet portion includes a flexible material, which deflects upon ejection of the gaseous media, received from said nozzle bar, through said outlet whereby said outlet area increases. Also, a system for sorting objects.

Abstract: An apparatus for detecting matter including: a light source arrangement adapted to emit a first and a second set of light beams towards a first detection zone through which the matter is provided. A spectroscopy system adapted to receive and analyse light which is reflected and/or scattered by matter in the first detection zone. A laser triangulation system including, a laser arrangement adapted to emit a line of laser light towards a second detection zone. A camera-based sensor arrangement configured to receive and analyse light which is reflected and/or scattered by matter in the second detection zone. The received light of the spectroscopy system completely or partially intersects the received light of the camera-based sensor arrangement and/or the line of laser light.

Abstract: A method of training a neural network stored on a computer-readable storage medium to classify objects in a bulk flow, the method including: providing input image data depicting objects to be classified, which input image data is captured by means of an input imaging sensor of a first sensor technology design; providing auxiliary image data, which auxiliary image data is captured by means of an auxiliary imaging sensor of a second sensor technology design, and which auxiliary image data depicts said or similar objects which are classified in accordance with a predetermined classifying scheme; by means of a processing unit, train the neural network stored on the computer-readable storage medium to classify the depicted objects in the input image data based on classifications of depicted objects in the auxiliary image data, wherein the depicted objects in the input image data correspond to objects in a bulk flow.

Abstract: A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.

Abstract: A nozzle device for sorting objects by ejecting a gaseous media towards said object. The nozzle device nozzle device including: a nozzle unit including at least one nozzle; a nozzle bar including gas supply means for providing a gaseous media to said nozzle unit; and a nozzle fixation bracket adapted for holding said nozzle unit in place; said at least one nozzle including: an inlet for receiving the gaseous media; and having one outlet, having an outlet area, for ejecting the gaseous media towards an object to be sorted; a channel extending between said inlet and said outlet; an outlet portion surrounding at least said outlet, wherein said outlet portion includes a flexible material, which deflects upon ejection of the gaseous media, received from said nozzle bar, through said outlet whereby said outlet area increases. Also, a system for sorting objects.

Abstract: A nozzle device for sorting objects by ejecting a gaseous media towards said object. The nozzle device nozzle device including: a nozzle unit including at least one nozzle; a nozzle bar including gas supply means for providing a gaseous media to said nozzle unit; and a nozzle fixation bracket adapted for holding said nozzle unit in place; said at least one nozzle including: an inlet for receiving the gaseous media; and having one outlet, having an outlet area, for ejecting the gaseous media towards an object to be sorted; a channel extending between said inlet and said outlet; an outlet portion surrounding at least said outlet, wherein said outlet portion including a flexible material, which deflects upon ejection of the gaseous media, received from said nozzle bar, through said outlet whereby said outlet area increases. Also, a system for sorting objects.

Abstract: A method for identifying the presence of partly liberated diamonds in a material stream. The method including illuminating a material with a multi-wavelength beam including at least one monochromatic SWIR laser beam, and at least one IR scatter-/anti-scatter laser beam. A sorting process including ejecting objects including material classified as diamond from a transportation direction of the material stream.

Abstract: A method for object classification, including: guiding a continuous stream of objects from a transport mechanism directly into an unsupported path, along which the object stream is fed through a detection region; illuminating the detection region with a radiation band in a first direction; optically scanning the detection region to detect electromagnetic radiation reflected by the at least one object in the detection region by viewing the detection region along a second direction, wherein the directions have a cross-section in the detection region and form an angle relative each other of 10°-80°; analyzing the information; and classifying objects in at least two different directions based on the analysis of the transparency information from the optical scanning; wherein the step of analyzing the information from the optical scanning includes analyzing the objects based on the intensity, spread and texture of the detected radiation from the optical scanning.

Abstract: A method for object classification, including: guiding a continuous stream of objects from a transport mechanism directly into an unsupported path, along which the object stream is fed through a detection region; illuminating the detection region with a radiation band in a first direction; optically scanning the detection region to detect electromagnetic radiation reflected by the at least one object in the detection region by viewing the detection region along a second direction, wherein the directions have a cross-section in the detection region and form an angle relative each other of 10°-80°; analyzing the information; and classifying objects in at least two different directions based on the analysis of the transparency information from the optical scanning; wherein the step of analyzing the information from the optical scanning includes analyzing the objects based on the intensity, spread and texture of the detected radiation from the optical scanning.