A layered pulse generator for a vertical-cavity surface-emitting laser (“VCSEL”) driver is disclosed consisting of three elements: a low-speed pulse generator, a high-speed pulse generator, and a pulse generator selector, all of which are on-chip with the VCSEL driver. By providing these elements on-chip, overall system power and complexity are reduced while allowing for significantly higher pulse train frequencies compared with known systems. The high-speed pulse generator is capable of generating pulses faster and with higher resolution than that of the low-speed pulse generator. The high-speed pulse generator uses multiple clock outputs, phase shifted, and synthesized into a single pulse waveform capable of wide-ranging frequencies, duty cycles and pulse counts.

A dual-camera image capture system may include a first light source, disposed above a target area, a first mobile unit, configured to rotate around the target area, and a second mobile unit, operatively coupled to the first mobile unit, configured to move vertically along the first mobile unit. The dual-camera image capture system may further include a second light source, operatively coupled to the second mobile unit and a dual-camera unit, operatively coupled to the second mobile unit. The dual-camera image capture system may include a first camera configured to capture structural data and a second camera configured to capture color data. The first mobile unit and the second mobile unit may be configured to move the first camera and the second camera to face the target area in a variety of positions around the target area.

A dual-camera image capture system may include a first light source, disposed above a target area, a first mobile unit, configured to rotate around the target area, and a second mobile unit, operatively coupled to the first mobile unit, configured to move vertically along the first mobile unit. The dual-camera image capture system may further include a second light source, operatively coupled to the second mobile unit and a dual-camera unit, operatively coupled to the second mobile unit. The dual-camera image capture system may include a first camera configured to capture structural data and a second camera configured to capture color data. The first mobile unit and the second mobile unit may be configured to move the first camera and the second camera to face the target area in a variety of positions around the target area.

An automated structural feature and analysis system is disclosed. A 3D device emits a volume scanning 3D beam that scans a structure to generate 3D data that is associated with a distance between the 3D device and each end point of the 3D beam positioned on the structure. An imaging device captures an image of the structure to generate image data with the structure as depicted by the image of the structure. A controller fuses the 3D data of the structure generated by the 3D device with the image data of the structure generated by the imaging device to determine the distance between the 3D device and each end point of the 3D beam positioned on the structure and to determine a distance between each point on the image. The controller generates a sketch image of the structure that is displayed to the user.

An automated structural feature and analysis system is disclosed. A 3D device emits a volume scanning 3D beam that scans a structure to generate 3D data that is associated with a distance between the 3D device and each end point of the 3D beam positioned on the structure. An imaging device captures an image of the structure to generate image data with the structure as depicted by the image of the structure. A controller fuses the 3D data of the structure generated by the 3D device with the image data of the structure generated by the imaging device to determine the distance between the 3D device and each end point of the 3D beam positioned on the structure and to determine a distance between each point on the image. The controller generates a sketch image of the structure that is displayed to the user.

Embodiments of the present disclosure disclose a data acquisition device, a data correction method and apparatus, and an electronic device. The data acquisition device includes: a rotation component, a first ranging component, and an image acquisition component. The rotation component is configured to drive the data acquisition device to rotate in a first direction. The first ranging component is configured to rotate in the first direction along with the data acquisition device, to rotate in a second direction, and to measure first ranging data. The first direction is different from the second direction. The image acquisition component is configured to rotate in the first direction along with the data acquisition device, and to acquire image data in a three-dimensional scene.

Embodiments of the present disclosure disclose a data acquisition device, a data correction method and apparatus, and an electronic device. The data acquisition device includes: a rotation component, a first ranging component, and an image acquisition component. The rotation component is configured to drive the data acquisition device to rotate in a first direction. The first ranging component is configured to rotate in the first direction along with the data acquisition device, to rotate in a second direction, and to measure first ranging data. The first direction is different from the second direction. The image acquisition component is configured to rotate in the first direction along with the data acquisition device, and to acquire image data in a three-dimensional scene.

A system includes a stage, a detector and a measuring device. The stage is configured to hold a substrate. The substrate includes a plurality of tapered structures, and each of the plurality of tapered structures includes a tapered wall between first and second openings at opposite ends of the plurality of tapered structures. The detector is tilted at a first angle and configured to measure light reflected from the tapered wall at about 90 degrees to the tapered wall. The first angle depends at least in part a second angle between the tapered wall and a longitudinal axis running through the tapered structure. The measuring device is configured to determine a characteristic of the tapered wall and whether the characteristic of the tapered wall is above or below a threshold.

A computer-implemented method for surface modeling includes: receiving one or more polarization raw frames of a surface of a physical object, the polarization raw frames being captured with a polarizing filter at different linear polarization angles; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and detecting a surface characteristic of the surface of the physical object based on the one or more first tensors in the one or more polarization representation spaces.

The tire sensing and analysis system may comprise a measurement device and local application software. The measurement device may make contact with a tire of a vehicle such that the measurement device is positioned at a specific distance and orientation relative to the tire. The measurement device may capture multiple images of the tire using an RGB camera and a pair of infrared cameras. The local application software may analyze the images and may construct a 3D mesh describing the 3-dimensional contours of the tread. The local application software may determine a tread depth and may display status and warning messages on a display unit that is coupled to the measurement device. The measurements may be communicated to remote application software for additional analysis. As non-limiting examples, the remote application software may detect specific tire wear patterns and may transmit a report to share results of the analysis.