Embodiments relate to predicting height information for an object. First distance data is determined at a first time when an object is at a first position that is only partially within the field-of-view. Second distance data is determined at a second, later time when the object is at a second, different position that is only partially within the field-of-view. A distance measurement model that models a physical parameter of the object within the field-of-view is determined for the object based on the first and second distance data. Third distance data indicative of an estimated distance to the object prior to the object being entirely within the field-of-view of the distance sensing device is determined based on the first distance data, the second distance data, and the distance measurement model. Data indicative of a height of the object is determined based on the third distance data.

The present invention relates to a method for inspecting a welding quality of an electrode tab-electrode lead welded portion of a pouch-type lithium secondary battery, and the method includes: recognizing welding traces of the welded portion by a vision inspection device; measuring a size of each of the recognized welding traces; and determining whether the welded portion has been weakly welded, excessively welded or normally welded by comparing the measured size with a reference value.

The present invention relates to a method for inspecting a welding quality of an electrode tab-electrode lead welded portion of a pouch-type lithium secondary battery, and the method includes: recognizing welding traces of the welded portion by a vision inspection device; measuring a size of each of the recognized welding traces; and determining whether the welded portion has been weakly welded, excessively welded or normally welded by comparing the measured size with a reference value.

Provided are a method of evaluating biogas power generation suitability performed by a biogas power generation suitability evaluation server including a processor and a memory, the method comprises extracting, from satellite image data of an evaluation target area, an area corresponding to the evaluation target area, calculating a size of biogas generation facilities included in the evaluation target area based on the extracted area, calculating a biogas concentration of the evaluation target area from the satellite image data and evaluating the biogas power generation suitability based on the size of the biogas generation facilities and the biogas concentration of the evaluation target area, wherein the calculating of the biogas concentration of the evaluation target area comprises calculating an average value of biogas concentrations of area corresponding to the evaluation target area, and the evaluating of the biogas power generation suitability comprises calculating, based on the size of the biogas generation facilities that are livestock barns and the average value of the biogas concentrations of the areas corresponding to the evaluation target area, a size of livestock in the livestock barns, and calculating biogas power generation potential in the evaluation target area based on the size of livestock in the livestock barns.

Provided are a method of evaluating biogas power generation suitability performed by a biogas power generation suitability evaluation server including a processor and a memory, the method comprises extracting, from satellite image data of an evaluation target area, an area corresponding to the evaluation target area, calculating a size of biogas generation facilities included in the evaluation target area based on the extracted area, calculating a biogas concentration of the evaluation target area from the satellite image data and evaluating the biogas power generation suitability based on the size of the biogas generation facilities and the biogas concentration of the evaluation target area, wherein the calculating of the biogas concentration of the evaluation target area comprises calculating an average value of biogas concentrations of area corresponding to the evaluation target area, and the evaluating of the biogas power generation suitability comprises calculating, based on the size of the biogas generation facilities that are livestock barns and the average value of the biogas concentrations of the areas corresponding to the evaluation target area, a size of livestock in the livestock barns, and calculating biogas power generation potential in the evaluation target area based on the size of livestock in the livestock barns.

Methods and systems for determining caving volume estimations based on logging data and geomechanical models are provided. For example, a system can receive image log data measured during a drilling operation in a wellbore. The system can receive an identification of a breakout in a subterranean formation around the wellbore. The system can determine, using the image log data, a breakout angular width for the breakout. The system can determine a breakout depth for the breakout. The system can determine a caving volume based on the breakout depth and the breakout angular width substantially contemporaneously with the drilling operation. The system can output the caving volume estimation for use in substantially contemporaneously adjusting a drilling parameter for the drilling operation.

Methods and systems for determining caving volume estimations based on logging data and geomechanical models are provided. For example, a system can receive image log data measured during a drilling operation in a wellbore. The system can receive an identification of a breakout in a subterranean formation around the wellbore. The system can determine, using the image log data, a breakout angular width for the breakout. The system can determine a breakout depth for the breakout. The system can determine a caving volume based on the breakout depth and the breakout angular width substantially contemporaneously with the drilling operation. The system can output the caving volume estimation for use in substantially contemporaneously adjusting a drilling parameter for the drilling operation.

A surface object comprises a surface with a boundary, the surface having a background color. At least one optical marker is provided on the surface for assisting of image processing for improving appearance of an image of the surface with the boundary. At least one optical marker includes at least one color which is lighter or darker than the background color and the color different ΔE between the background color and the at least one color of the optical marker being between ΔE=2 and ΔE=18.

A surface object comprises a surface with a boundary, the surface having a background color. At least one optical marker is provided on the surface for assisting of image processing for improving appearance of an image of the surface with the boundary. At least one optical marker includes at least one color which is lighter or darker than the background color and the color different ΔE between the background color and the at least one color of the optical marker being between ΔE=2 and ΔE=18.

Embodiments of the present invention disclose a target material thickness measuring apparatus including: a support; and a plurality of distance measuring units mounted on the support and arranged in a first direction, the plurality of distance measuring units being configured to respectively measure thicknesses of portions of a target material at a plurality of positions in the first direction. A plurality of thickness values of different portions of the target material along a straight line can be obtained at one time, for example, by performing a single measurement of thicknesses of the portions of the target material at the plurality of positions by means of the plurality of distance measuring units, thereby improving measurement efficiency.