Optical sample characterization facilitates measurement and testing at any angle in a full range of angles of light propagation through an optical sample, such as a coated glass plate, having a higher than air index of refraction. A rotatable assembly includes a cylinder having a hollow, and a receptacle including the hollow. The receptacle also contains a fluid with a known refractive index. An optical light beam is input normal to the surface of the cylinder, travels through the cylinder, then via the fluid, to the optical sample, where light beam is transmitted and/or reflected, then exits the cylinder and is collected for analysis. Due at least in part to the fluid surrounding the optical sample, the optical sample can be rotated through a full range of angles (±90°, etc.) for full range testing of the optical sample.

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 continuous dust accumulation monitoring system, device and method monitors and measures dust accumulation via an enclosure and a machine vision subsystem which can include a digital camera. A dirty optics detection subsystem monitors optical clarity and can invoke a cleaning assembly to help maintain clarity of optics for monitoring and measuring dust accumulation.

Information is stored in an optical element in the form of a glass or plastic body embodied as spectacles lens, spectacles lens blank or spectacles lens semi-finished product. The information in the form of data is stored on or in the glass or plastic body by creating at least one marking with a marking system. The marking can be read by a reading apparatus. The marking system has an interface for reading information individualizing the optical element. The marking is created permanently by the marking system on or in the optical element at a definition point of a local body-specific coordinate system set by two points on or in the optical element. In this body coordinate system, the manufacturer specifies the position of the lens horizontal and/or the far and/or the near and/or the prism reference point.

A workpiece holder is configured to hold a workpiece and is utilized in a metrology system which includes a sensing configuration for obtaining 3-dimensional surface data for the workpiece. The workpiece holder includes at least three reference features (e.g., spherical reference features extending from sides) that are configured to be sensed by the sensing configuration when the workpiece holder is in different orientations (e.g., as rotated 180 degrees between first and second orientations for presenting front and back sides of the workpiece towards the sensing configuration). A determination of 3-dimensional positions of the reference features for each orientation enables a combining (e.g., in a common coordinate system) of 3-dimensional surface data that is acquired for the workpiece in each orientation. Interchangeable workpiece holding portions may be provided that fit within the workpiece holder for holding workpieces with different characteristics (e.g., having different sizes and/or shapes).

Systems and methods for acquiring and inspecting lens images of ophthalmic lenses using one or more cameras to acquire the images of the lenses in a dry state or a wet state. The images are preprocessed and then inputted into an artificial intelligence network, such as a convolutional neural network (CNN), to analyze and characterize for type of lens defects. The artificial intelligence network identifies defect regions on the images and output defect categories or classifications for each of the images based in part on the defect regions.

Disclosed herein are methods for quantifying contact lens deposition. An example method may comprise disposing a contact lens sample in a fluid well. The example method may comprise disposing a volume of tear fluid in the well with the contact lens sample. The example method may comprise capturing pre-rinse images of the contact lens sample. The example method may comprise rinsing the contact lens sample. The example method may comprise capturing post-rinse images of the contact lens after the rinsing. The example method may comprise determining, using one or more of the tear images or the post-rinse images, a deposition metric. The example method may comprise outputting the deposition metric.

A glue overflow detection system and method, includes a camera module and a processor. The camera module is configured to capture an image which includes a blue chromaticity image and a red chromaticity image. The processor obtains a chromatic-aberration difference image according to the blue chromaticity image and the red chromaticity image. The processor obtains a block feature image according to the chromatic-aberration difference image. The processor obtains a longitudinal inter-block difference image and a transverse inter-block difference image according to the block feature image. The longitudinal inter-block difference image includes a plurality of longitudinal block difference blocks each of which has a longitudinal difference value. The transverse inter-block difference image includes a plurality of transverse block difference blocks each of which has a transverse difference vale. The processor determines that a glue overflow image exists in the image according to the longitudinal difference values and the transverse difference values.

A system and method for high-throughput testing and module integration of rotationally variant optical lens systems is provided. In some examples, the system may be a metrology system that includes a light source to generate optical illumination. The metrology system may also include a null element. The null element may generate, using the optical illumination from the light source, a prescribed wavefront corresponding to a unit under test (UUT). In addition, the metrology system may further include a null element fixture to position the null element with respect to the unit under test (UUT).

A workpiece holder is configured to hold a workpiece and is utilized in a metrology system which includes a sensing configuration for obtaining 3-dimensional surface data for the workpiece. The workpiece holder includes at least three reference features (e.g., spherical reference features extending from sides) that are configured to be sensed by the sensing configuration when the workpiece holder is in different orientations (e.g., as rotated 180 degrees between first and second orientations for presenting front and back sides of the workpiece towards the sensing configuration). A determination of 3-dimensional positions of the reference features for each orientation enables a combining (e.g., in a common coordinate system) of 3-dimensional surface data that is acquired for the workpiece in each orientation. Interchangeable workpiece holding portions may be provided that fit within the workpiece holder for holding workpieces with different characteristics (e.g., having different sizes and/or shapes).