A robotic inspection platform comprises a robotic arm, an imager, and a controller. The controller causes the robotic arm to retrieve, using its end effector, a container, and to manipulate the container such that the container is sequentially placed in a plurality of orientations while in view of the imager. The controller also causes the imager to capture images, with each of the images being captured while the container is in a respective one of the orientations. The controller also determines one or more attributes of the container, and/or a sample within the container, by analyzing the images using a pattern recognition model and, based on the attribute(s), determines whether the container and/or sample satisfies one or more criteria. If the container and/or sample fails to satisfy the criteria, the controller causes the robotic arm to place the container in an area (e.g., bin) reserved for rejected containers and/or samples.

A defect detection system based on machine vision includes a monitoring module, a detection module, an early warning module, and a screening module. A method and the system are implemented by timely screening out an empty bottle having a different specification in detection, monitoring whether a content in each of empty bottles meets requirement, monitoring whether foreign matter is contained in each of filled bottles, and displaying a monitored image on a display device. Bottles that are normal in the detection are filled, filled bottles are monitored through the monitoring module. The monitoring module is configured to monitor whether the content in the filled bottles meets requirement, whether foreign matter is contained in the filled bottles.

An inspection system having a light source, a mirror sensor, and an image sensor. The mirror assembly is aligned with the camera; the light is reflected from the container to the camera, and the camera creates multiple images of the container at a viewing angle. The multiple images are analyzed to detect defects.

An air treatment device includes a casing, a drain pan provided in the casing, a camera configured to capture an inner surface of the drain pan to obtain image data, and a lighting device configured to apply, to a photographing target of the camera, visible light having a maximum peak wavelength in a wavelength band from 400 nm to 500 nm.

An inspection system having a light source able to illuminate a transparent cylinder, a mask able to block at least part of the light from the light source, the light source and the mask arranged such that, when the transparent cylinder is positioned in the system for inspection, the light source, the mask and the transparent cylinder are substantially aligned along an inspection axis perpendicular to the longitudinal axis of said transparent cylinder and the mask is interposed between the light source and the transparent cylinder to prevent illumination of a first portion of the transparent cylinder having a width smaller than the diameter of the transparent cylinder while allowing illumination of a second portion of the transparent cylinder, the mask configured to provide a contrast with a particle present in the first portion of the cylinder and illuminated by light refracted by the second portion of the cylinder.

A robotic inspection platform comprises a robotic arm, an imager, and a controller. The controller causes the robotic arm to retrieve, using its end effector, a container, and to manipulate the container such that the container is sequentially placed in a plurality of orientations while in view of the imager. The controller also causes the imager to capture images, with each of the images being captured while the container is in a respective one of the orientations. The controller also determines one or more attributes of the container, and/or a sample within the container, by analyzing the images using a pattern recognition model and, based on the attribute(s), determines whether the container and/or sample satisfies one or more criteria. If the container and/or sample fails to satisfy the criteria, the controller causes the robotic arm to place the container in an area (e.g., bin) reserved for rejected containers and/or samples.

A method for contamination assessment, which can include receiving a set of images, sorting the images, assessing the images, assessing container fill zones, assessing the container, and/or acting based on the container assessment. A system for contamination assessment, which can include a computing system, one or more containers, and/or one or more content sensors.

Method for the optical inspection of containers, where the containers are transported with a conveyor as a container mass flow, where the containers are each captured with an optical inspection unit as first image data, and where the first image data is evaluated with an image processing unit for contamination and/or defects on the respective container, where the first image data of several containers is overlaid to form an overlay image, and where the overlay image is evaluated for the presence of points of contamination in a beam path of the optical inspection unit.

A device and a method for inspecting containers for impurities and three-dimensional container structures comprising a radiation source. The radiation source is designed to emit radiation that radiates through a container to be examined. The device also comprises a detection element designed to detect the radiation that has been emitted by the radiation source and has radiated through the container. The device further comprises an evaluation element designed to evaluate the radiation detected by the detection element in terms of dirt and damage to the container. The radiation source has a plurality of spatially separated radiation zones. The radiation zones of the radiation source are designed to emit radiation of different wavelength ranges or of a different intensity.

An automated visual inspection system for detecting the presence of particulate matter includes an empty, flexible container, a light source, a detector, and an image processor. The light source is configured to transmit light through the container towards the detector, and the detector is configured to receive the light and generate image data. The image processor is configured to analyze the image data, determine whether the empty, flexible container is defective, and generate a rejection signal if the empty, flexible container is defective.