A surface analyst end effector for an automated inspection and repair system for composite parts. A surface analyst system and a tool changer are supported on a chassis. A control unit of the surface analyst system is configured to conduct a bond readiness test by which the control unit directs an inspection head to place a drop of liquid onto a surface of a composite part and directs the inspection head to capture an image of the drop on the surface. The slave tool changer releasably and operatively connects the end effector to an industrial robot such that the industrial robot can move the end effector along the composite part and the inspection and repair system can signal the surface analyst to conduct a bond readiness test. The surface analyst end effector is interchangeable with other end effectors of the inspection and repair system for performing inspection and repair methods.

A surface analyst end effector for an automated inspection and repair system for composite parts. A surface analyst system and a tool changer are supported on a chassis. A control unit of the surface analyst system is configured to conduct a bond readiness test by which the control unit directs an inspection head to place a drop of liquid onto a surface of a composite part and directs the inspection head to capture an image of the drop on the surface. The slave tool changer releasably and operatively connects the end effector to an industrial robot such that the industrial robot can move the end effector along the composite part and the inspection and repair system can signal the surface analyst to conduct a bond readiness test. The surface analyst end effector is interchangeable with other end effectors of the inspection and repair system for performing inspection and repair methods.

A surface property estimation system includes an image acquisition means for acquiring an image of a surface of an object, an estimation means for estimating a surface property from the acquired image by using an estimation model obtained through machine learning with use of an image of a surface of an object and a surface property shown by the image as training data, an extraction means for extracting, from the acquired image, a feature amount unique to the image, and a registration means for storing the estimated surface property and the extracted feature amount in a storage means in association with each other.

A surface property estimation system includes an image acquisition means for acquiring an image of a surface of an object, an estimation means for estimating a surface property from the acquired image by using an estimation model obtained through machine learning with use of an image of a surface of an object and a surface property shown by the image as training data, an extraction means for extracting, from the acquired image, a feature amount unique to the image, and a registration means for storing the estimated surface property and the extracted feature amount in a storage means in association with each other.

A method for measuring a carbon capture and sequestration site. The method may comprise acquiring one or more core samples from a carbon capture and sequestration site, performing a nuclear magnetic resonance (NMR) measurement on the one or more core samples to form a first NMR measurementperforming a surface roughness measurement on the one or more core samples to determine a Rs,.sub.before wherein the Rs,.sub.before is a surface roughness of the one or more core samples before the one or more core samples are aged in a cell, and determining at least one property of the one or more core samples from at least the first NMR measurement and the Rs,.sub.before.

A method for measuring a carbon capture and sequestration site. The method may comprise acquiring one or more core samples from a carbon capture and sequestration site, performing a nuclear magnetic resonance (NMR) measurement on the one or more core samples to form a first NMR measurementperforming a surface roughness measurement on the one or more core samples to determine a Rs,.sub.before wherein the Rs,.sub.before is a surface roughness of the one or more core samples before the one or more core samples are aged in a cell, and determining at least one property of the one or more core samples from at least the first NMR measurement and the Rs,.sub.before.

A shape evaluation method according to the present invention comprises: a shape error calculation step that calculates a shape error, which is an error between a designed shape and a shape to be evaluated; and a visible error detection step that detects visible shape errors on the basis of the shape error and predetermined visual characteristic data.

A shape evaluation method according to the present invention comprises: a shape error calculation step that calculates a shape error, which is an error between a designed shape and a shape to be evaluated; and a visible error detection step that detects visible shape errors on the basis of the shape error and predetermined visual characteristic data.

Methods and systems for determining the integrity of a manufactured board are disclosed. An example system includes a testing platform configured to secure the manufactured board, a sensor configured to measure a parameter corresponding to a flatness of a surface of the board, and a controller. The controller is configured to identify regions on the surface corresponding to one of a peak or a valley based on the parameter, and calculate a score representing the integrity of the manufactured board based on the identified peaks and valleys. The controller adjusts a flow rate, a pressure, a temperature, and position of a deposited substance in a manufacturing process based on a comparison with a height of the peak and/or a depth of the valley to stored peak heights and/or valley depths. In some examples, a mechanical tester determines a compressive strength and a density of the board at the identified regions.

The present invention provides a coin recognition unit having high recognition capacity. The coin recognition unit comprises magnetic sensors each configured to collect magnetic characteristics of a transported coin; at least one optical sensor disposed with a space from the magnetic sensors and configured to collect optical characteristics of a surface of the coin; a glass plate constituting a transport surface on which the coin is transported and having a larger size than the coin; and a controller configured to control the magnetic sensors and the at least one optical sensor and perform a recognition process, the glass plate covering at least part of each magnetic sensor and at least part of each optical sensor.