A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

The present disclosure describes a method, an apparatus, and a storage medium for recognizing an obstacle. The method includes acquiring, by a device, point cloud data obtained by scanning surroundings of a target vehicle by a sensor in the target vehicle. The device includes a memory storing instructions and a processor in communication with the memory. The method further includes converting, by the device, the point cloud data into a first image used for showing the surroundings; and recognizing, by the device, from the first image, a first object in the surroundings as an obstacle through a first neural network model.

A biological information detection device includes a light source, an image capturing device, and one or more arithmetic circuits. The light source projects dots formed by light onto a target including a living body. The image capturing device includes photodetector cells and generates an image signal representing an image of the target onto which the dots are projected. The one or more arithmetic circuits detect a portion corresponding to at least a part of the living body in the image by using the image signal and calculate biological information of the living body by using image signal of the portion.

An identifying device includes a light source, an image sensor, a memory that stores biometric data indicating a feature of a body of a user, and a processor. The processor causes the light source to emit pulsed light having a pulse duration of more than or equal to 0.2 ns and less than or equal to 1 s to illuminate the user with the pulsed light, causes the image sensor to detect at least part of reflected pulsed light that returns from the user and to output a signal corresponding to two-dimensional distribution of an intensity of the at least part of the reflected pulsed light, and verifies the signal against the biometric data to identify the user.

A method, system, and article of efficient illuminator and camera sensor synchronization to capture images comprises generating a sequence of frames each associated with a captured image and comprising operating an electronic shutter using vertical-blanks (vblanks) occurring between the last reset of a previous frame and a first read of a current frame consecutively after the previous frame of the sequence of frames. The generating also comprises receiving, by at least one camera sensor, from at least one infra-red-related illuminator and limited to a time within or equal to the vblanks so that the illuminator is turned on and off at the same vblank, and sensing the received light at the camera sensor to convert the light into image data to form the frames in the sequence of frames.

A method of navigating an autonomous vehicle includes receiving pulsed illumination from an object in the vehicle environment and decoding the pulsed illumination. The object is identified using the decoded pulsed illumination of the pulsed illumination, and the autonomous vehicle navigated through the vehicle environment based on the identification of the object. Obstacle avoidance methods and navigation systems for autonomous vehicles are also described.

Techniques for scanning through structured light techniques that are robust to global illumination effects and that provide an accurate determination of position as provided. According to some aspects, described techniques may be computationally efficient compared with conventional techniques by making use of a novel approach of selecting frequencies of patterns for projection onto a target that mathematically enable efficient calculations. In particular, the selected frequencies may be chosen so that there is a known relationship between the frequencies. This relationship may be derived from Chebyshev polynomials and also relates the chosen frequencies to a low frequency pattern.

A system for capturing a 3D image of a subject includes a detection device which is structured to capture images of the subject and surrounding environment, a projection device which is structured to provide a source of structured light, and a processing unit in communication with the detection device and the projection device. The processing unit is programmed to: analyze an image of the subject captured by the detection device; modify one or more of: the output of the projection device or the intensity of a source of environmental lighting illuminating the subject based on the analysis of the image; and capture a 3D image of the subject with the detection device and the projection device using the modified one or more of the output of the projection device or the intensity of the source of environmental lighting illuminating the subject.

Enhanced battery edge detection devices, systems, and techniques are described herein. During an inspection process, an inspection system controls one or more non-visible light sources to illuminate a battery installed in an electronic device. The illumination activates a reflective pigment applied to at least a portion of an edge of the battery. The inspection system controls one or more cameras to capture at least one image of the illuminated battery installed in the electronic device. The at least one image is processed to detect the edge of the battery and to measure a gap size between the edge of the battery and a region of the electronic device proximate the edge of the battery. The electronic device and battery are flagged for further inspection if the measured gap size is below a threshold indicative of a zero gap event.

The present disclosure is related to an optical encoder which is configured to provide precise coding reference data by feature recognition technology. To apply the present disclosure, it is not necessary to provide particular dense patterns on a working surface. The precise coding reference data can be generated by detecting surface features of the working surface.