Disclosed herein is a dimensioner table (DT) that is highly transportable and can be removably or permanently affixed to a mobile platform (MP). This allows freight to be scanned at the time of pickup or each time it is unloaded/loaded onto a new MP. The dimensioning information collected from the DT can be used to create a 3D model of the freight which can be used to help provide loading instructions. The successive scans of the freight by each DT can also be used to identify any discrepancies in the 3D models or captured images which may indicate damage or partial loss of freight.

A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

A system and method for determining a dimension of a target. The method includes: determining a camera parameter, the camera parameter including at least one of a focal length, a yaw angle, a roll angle, a pitch angle, or a height of one or more cameras; acquiring a first image and a second image of an target captured by the one or more cameras; generating a first corrected image and a second corrected image by correcting the first image and the second image; determining a parallax between a pixel in the first corrected image and a corresponding pixel in the second corrected image; determining an outline of the target; and determining a dimension of the target based at least in part on the camera parameter, the parallax, and the outline of the target.

A system and method for determining a dimension of a target. The method includes: determining a camera parameter, the camera parameter including at least one of a focal length, a yaw angle, a roll angle, a pitch angle, or a height of one or more cameras; acquiring a first image and a second image of an target captured by the one or more cameras; generating a first corrected image and a second corrected image by correcting the first image and the second image; determining a parallax between a pixel in the first corrected image and a corresponding pixel in the second corrected image; determining an outline of the target; and determining a dimension of the target based at least in part on the camera parameter, the parallax, and the outline of the target.

A non-contact tool measurement apparatus is used in a machine tool environment. The apparatus includes a transmitter including a first aperture and a laser for generating light that is emitted from the transmitter through the first aperture towards a tool-sensing region. A receiver includes an optical detector and is arranged to receive light from the tool-sensing region. A processor analyses the light detected by the optical detector to enable the measurement of tools in the tool-sensing region. The laser is capable of generating light having a wavelength of less than 590 nm thereby enabling the size of the first aperture to be reduced resulting in a reduction in contaminant ingress. In one embodiment, the laser generates blue light.

A non-contact tool measurement apparatus is used in a machine tool environment. The apparatus includes a transmitter including a first aperture and a laser for generating light that is emitted from the transmitter through the first aperture towards a tool-sensing region. A receiver includes an optical detector and is arranged to receive light from the tool-sensing region. A processor analyses the light detected by the optical detector to enable the measurement of tools in the tool-sensing region. The laser is capable of generating light having a wavelength of less than 590 nm thereby enabling the size of the first aperture to be reduced resulting in a reduction in contaminant ingress. In one embodiment, the laser generates blue light.

A shape identification device includes an accommodation chamber for accommodating an object to be measured such that the same can be removed from and inserted into the accommodation chamber, a first imaging unit for imaging the object accommodated in the accommodation chamber, and an image processing unit for carrying out image processing on the basis of the image information imaged by the first imaging unit and recognizing the external shape of the object. The image processing unit includes a storage unit having, stored therein beforehand, a plurality of types of sample external shapes corresponding to objects to be measured and a shape recognition unit for comparison and discrimination of the external shape information from the first imaging unit and the external shape information stored in the storage unit and recognition of an external shape matching or approximating the external shape information from the first imaging unit.

A plurality of values measured are relatively compared to determine an optical axis deviation direction in which an optical axis of a measurement beam S deviates from a laser beam L. In performing laser welding in the optical axis deviation direction, an irradiation position of the measurement beam S is changed so that the irradiation position of the measurement beam S is moved to a rear side of the center of the optical axis of the laser beam L in the welding direction.

A plurality of values measured are relatively compared to determine an optical axis deviation direction in which an optical axis of a measurement beam S deviates from a laser beam L. In performing laser welding in the optical axis deviation direction, an irradiation position of the measurement beam S is changed so that the irradiation position of the measurement beam S is moved to a rear side of the center of the optical axis of the laser beam L in the welding direction.

A distance measurement device according to the present disclosure includes: a light detection unit that receives light from a subject; a depth calculation section that calculates depth information of the subject on the basis of an output of the light detection unit; and an artifact removal section that divides an image into respective segments on the basis of the depth information and validates a segment of the respective segments in which a number of pixels exceeds a predetermined threshold and invalidates a segment in which the number of pixels is less than or equal to the predetermined threshold.