An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

A method of performing surface profilometry includes receiving one or more polarization raw frames of a printed layer of a physical object undergoing additive manufacturing, the one or more polarization raw frames being captured at different polarizations by one or more polarization cameras, extracting one or more polarization feature maps in one or more polarization representation spaces from the one or more polarization raw frames, obtaining a coarse layer depth map of the printed layer, generating one or more surface-normal images based on the coarse layer depth map and the one or more polarization feature maps, and generating a 3D reconstruction of the printed layer based on the one or more surface-normal images.

The present disclosure provides an apparatus. The apparatus according to the present disclosure comprises: at least one first light source configured to irradiate illumination light to an object on a reference surface; at least one second light source configured to irradiate pattern light to the object, a plurality of cameras configured to capture one or more illumination images and one or more pattern images; and one or more processors configured to determine a plurality of outlines indicating edges of the object based on two or more images captured in different directions among the one or more illumination images and the one or more pattern images; determine a virtual plane corresponding to an upper surface of the object based on the plurality of outlines; and determine an angle between the virtual plane and the reference plane.

A system and method can be provided for detecting the status of one or more components and/or systems of, for example, a manual, semi-autonomous, or fully autonomous cleaning device or the like. Embodiments described herein relate to a system that provides semi-autonomous cleaning of surfaces by a semi-autonomous cleaning device. The system provides for improved reliable obstacle detection and avoidance, improved sensing, improved design, improved failure detection, advanced diagnostics and expandability capabilities.

A coordinate measuring system includes a scanning module having a laser line scanner and a projection device. The laser line scanner projects a laser line onto a surface of a workpiece and produces scan data from a reflection of the laser line. The projection device and/or the laser line scanner project three optical markers onto the surface of the workpiece, at least one of the three markers being disposed on the laser line and at least one of the three markers being at a distance from the laser line. The coordinate measuring system includes an optical sensor capturing image data of the three optical markers and an evaluation device determining a position and an orientation of the coordinate system of the laser line scanner in the coordinate system of the optical sensor based on the image data of the optical sensor and the scan data of the laser line scanner.

A method of calibrating a three-dimensional measurement system having a plurality of cameras and at least one projector is provided. The method includes performing a full calibration for each camera/projector pair where the full calibration generates at least two sets of correction matrices. Subsequently, an updated calibration is performed for each camera/projector pair. The updated calibration changes less than all of the sets of correction matrices.

A device and method for scanning and measuring an environment is provided. The method includes providing a three-dimensional (3D) measurement device having a controller. Images of the environment are recorded and a 3D scan of the environment is produced with a three-dimensional point cloud. A first movement of the 3D measurement device is determined and then an operating parameter of the 3D measurement device is changed based at least in part on the first movement.

Dynamic digital fringe projection (DDFP) techniques for measuring warpage. The DDFP technique generates a dynamic fringe pattern, in which a proper fringe intensity distribution is dynamically determined based on the surface reflectance of an unpainted sample in order to obtain better fringe image contrasts. The DDFP technique includes the automatic segmentation method to segment the chip package and PWB regions in an unpainted PWB assembly PWBA image. It also includes calibration methods to compensate the mismatches in coordinates and intensities between the projected and captured images.

An imaging device assembly includes a light source, an imaging device formed with a plurality of imaging elements, and a control device. Each imaging element (10) includes a light receiving portion (21), a first charge storage portion (22) and a second charge storage portion (24), and a first charge transfer control means (23) and a second charge transfer control means (24). Under the control of the control device, the imaging element (10) captures an image of an object on the basis of high-intensity light and stores first image signal charge into the first charge storage portion (22) during a first period, and captures an image of the object on the basis of low-intensity light and stores second image signal charge into the second charge storage portion (24) during a second period. The control device obtains an image signal on the basis of the difference between the first image signal charge and the second image signal charge.

A method and apparatus for generating a three-dimensional depth map, are provided. The method comprising the steps of: (i) illuminating a target by a pattern projector having background intensity or by a combination of a pattern projector which does not have a background intensity operative together with a flood projector; (ii) capturing at least one image that comprises one or more objects present at the illuminated target; (iii) converting the at least one captured image into data; (iv) processing the data received from the conversion of the at least one captured image while filtering out the projected pattern from the processed data; (v) detecting edges of at least one of the one or more objects present at the illuminated target; and (vi) generating a three-dimensional depth map that comprises the at least one of the one or more objects whose edges have been determined.