A container inspection system is described herein. The container inspection system includes a camera and a computing system, wherein the camera is configured to capture multiple images of a transparent container as the transparent container is transported along a conveyor. Thus, the camera captures several images of the transparent container when the transparent container is at different positions relative to the camera. The container inspection system detects a defect in the transparent container based upon one or more images in the several images.

The present disclosure provides to a novel two-target method for measuring the concentration of dust clouds, and an apparatus system that uses the novel two-target method. Cornstarch, corn dust, and saw dust are tested with the apparatus system with the method. This method used the light extinction coefficient of a dust cloud between two targets using a digital camera. This extinction coefficient is linearly related to the concentration of the dust, and the mass extinction coefficient is the key value for this measurement method. The mass extinction efficiency (K) depend greatly on the physical and chemical properties of the dust particles.

The present disclosure provides to a novel two-target method for measuring the concentration of dust clouds, and an apparatus system that uses the novel two-target method. Cornstarch, corn dust, and saw dust are tested with the apparatus system with the method. This method used the light extinction coefficient of a dust cloud between two targets using a digital camera. This extinction coefficient is linearly related to the concentration of the dust, and the mass extinction coefficient is the key value for this measurement method. The mass extinction efficiency (K) depend greatly on the physical and chemical properties of the dust particles.

An apparatus (1) for the inspection of parisons (2) comprises: an inspection zone (10), configured to receive an unordered plurality of parisons (2); an illuminator (3), configured to emit a beam of light directed at the plurality of parisons (2); a detector (4) comprising a camera (41) configured to capture an image of the plurality of parisons (2), wherein the inspection zone is interposed between the illuminator (3) and the detector (4); a control unit (5) configured to process the image captured by the camera (41) to derive an item of diagnostic information regarding the defectiveness of one or more parisons (2) of the plurality of parisons (2), wherein the illuminator (3) includes an emission-polarizing filter (32) and the detector (4) includes a receiving polarizing filter (42).

Systems and methods for inspecting particles in a liquid beneficial agent are provided. Inspecting particles in a liquid beneficial agent includes selectively illuminating at least a portion of a liquid beneficial agent contained within a container using an excitation beam configured to excite photoluminescent particles in the liquid beneficial agent to emit an emission light and produce scattered excitation light, filtering the illuminated portion of the liquid beneficial agent to transmit the emission light and block the scattered excitation light, obtaining an image of the filtered emission light, analyzing image data representing the image of the filtered emission light to detect regions of the image representing the intrinsic photoluminescence of the photoluminescent particles, measuring an intensity of the regions of the image representing the intrinsic photoluminescence of the photoluminescent particles, and determining a size or number of the photoluminescent particles from the measured intensity of the regions.

Methods and systems for using multiple hyperspectral cameras sensitive to different wavelengths to predict characteristics of objects for further processing, including recycling, are described. The multiple hyperspectral images can be used to predict higher resolution spectra by using a trained machine learning model. The higher resolution spectra may be more easily analyzed to sort plastics into a recyclability category. The hyperspectral images may also be used to identify and analyze dark or black plastics, which are challenging for SWIR, MWIR, and other wavelengths. The machine learning model may also predict the base polymers and contaminants of plastic objects for recycling. The hyperspectral images may be used to predict recyclability and other characteristics using a trained machine learning model.

A non-transitory computer readable recording medium has an estimation model according to one aspect of the present invention recorded thereon, and the estimation model is included in a program to be executed by a computer and outputs output data estimated based on input data received. In response to receiving, as the input data, a change over time in an intensity of energy emitted from a sealing part of an object subjected to a sealing process through bonding, the estimation model estimates at least one of whether sealing of the object is good or whether the sealing of the object is defective and outputs an estimation result as the output data, the change over time being calculated based on an intensity of energy emitted at each of a first time point and a second time point that is later than the first time point.

A manufacturing device is used for manufacturing a package including a resin sheet and a predetermined work wrapped with the resin sheet. The manufacturing device includes: a sealing unit that thermally welds overlapping parts of the sheet; and an inspection device that inspects a sealing quality of the sealed portion thermally welded by the sealing unit. The sealing unit makes, by the thermal welding, a thickness of the sealed portion after the thermal welding smaller than a total thickness of the overlapping parts prior to the thermal welding. The inspection device obtains thickness information on the thickness of the sealed portion and determines the sealing quality of the sealed portion based on the thickness information.

An automatic inspection process for detecting visible defects on a manufactured item, the process including a set up mode in which images of same-type defect free items, but not images of same-type defected items, are obtained, and an inspection mode in which images of both same-type defect free items and same-type defected items, are obtained and defects are detected, where images of the same-type defect free items are analyzed and based on the analysis the process switches to the inspection mode.

Apparatuses and methods for inspecting a pharmaceutical cylindrical containers are provided. The apparatus includes a support device, a light emitting unit, and a light receiving unit. The support device supports the pharmaceutical cylindrical container and rotates the cylindrical pharmaceutical container around a longitudinal axis. The light emitting unit has a light source that illuminates the pharmaceutical cylindrical container with a detection beam while the support device rotates the pharmaceutical cylindrical container. The light receiving unit has a camera that acquires polarization information of the detection beam.