A robot system includes an automatic transport device, a robot arm that is installed on the automatic transport device, an object recognition sensor that is disposed on the robot arm, an environment recognition sensor, a placement portion that is disposed on the automatic transport device, and a controller, and in which the controller controls the automatic transport device for moving toward a work stand based on a recognition result of the environment recognition sensor and controls the robot arm for transferring a plurality of component kits from the placement portion to the work stand based on a recognition result of the object recognition sensor after controlling the robot arm for taking out the components from a component storage unit based on the recognition result of the object recognition sensor and creating the plurality of component kits on the placement portion.

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.

A detection device includes a light refraction structure and a resistance detection circuit. The light refraction structure includes a substrate, a conductive layer, and a refraction layer. The conductive layer and the refraction layer are formed on the substrate. The conductive layer includes a resistance. The resistance detection circuit is electrically coupled to the conductive layer and is adapted to detect the resistance of the conductive layer. The resistance detection circuit generates a detection signal according to a change in the resistance, and the detection signal represents a state of the refraction layer.

The disclosed system includes a robot configured to perform a task on a workpiece. A camera having a field of view is operably connected to the robot. A light system is configured to project structured light onto a region of interest having a smaller area within the field of view. A control system is operably coupled to the robot and the camera is configured to determine a depth of the workpiece relative to a position of the robot using the structured light projected onto the workpiece within the region of interest.

A control apparatus includes a processor that executes a first point cloud generation process including a first imaging process of acquiring a first image according to a first depth measuring method and a first analysis process of generating a first point cloud and a second point cloud generation process including a second imaging process of acquiring a second image according to a second depth measuring method and a second analysis process of generating a second point cloud, and detects the object using the first point cloud or the second point cloud. The first point cloud generation process completes in a shorter time than the second point cloud generation process, and the processor starts the second point cloud generation process after the first imaging process and discontinues the second point cloud generation process if the first point cloud satisfies a predetermined condition of success.

Disclosed are a self-correction method and device for a structured light depth camera of a smart phone. The self-correction device for the structured light depth camera of the smart phone consists of an infrared laser speckle projector, an image receiving sensor, a self-correction module, a depth calculating module and a mobile phone application processing AP. The projector projects a speckle pattern, a feature block is set in a reference speckle image, an input speckle image is acquired by the image receiving sensor, and an optimal matching block which corresponds to the feature block is searched from the input speckle image through a similarity criterion to obtain an offset between the feature block and the matching block, once the optical axis of the projector and the optical axis of the image sensor change relatively, the offset may change along with the change, an optimal offset is solved according to a certain rule and the reference speckle image is adjusted reversely, thus, the center of the input speckle image and the center of the reference speckle image can form a self-feedback adjusting closed-loop system, and an optimal matching relation between the input speckle image and the corrected reference speckle image can be always found out when the optical axes vary widely.

A vehicular vision system includes a camera disposed at a vehicle and having a field of view rearward of the vehicle, a light source disposed at the vehicle and operable to emit light, and a control including an image processor. The control, responsive to detection of the object present in the field of view of the camera, determines a region of the field of view of the camera at which a detected object is located. The control determines an illumination level at the detected object and, responsive to the determined illumination level at the detected object being greater than an upper threshold level or less than a lower threshold level, controls the respective individually controllable light segment of the light source for that region of the field of view of the camera at which the detected object is located to adjust intensity of light emitted by that light segment.

A method and an apparatus for processing data, and a computer readable storage medium. The method includes: turning on at least one of a floodlight or a laser light, and operating a laser camera to collect a target image in response to a first processing unit receiving an image collection instruction sent by a second processing unit; and performing processing on the target image via the first processing unit, and sending the target image processed to the second processing unit.

A feature surface projection system includes a projector, a camera, and a controller. The projector projects a structured light and an image beam to a feature surface at different times. The structured light forms a structured light pattern on the feature surface, and the image beam forms an image on the feature surface. The camera photographs the structured light pattern and the image at different times. The controller is electrically connected to the projector and the camera, calculates a position of a feature point of the feature surface, and determines a difference between a position of a feature point of the image and the position of the feature point of the feature surface to determine whether to adjust the image beam. A projection method for a feature surface is also provided. The feature surface projection system provides an automatic alignment function between a projected content and the feature surface.

The invention provides a fingerprint sensing device. A control circuit controls a part of point light sources to irradiate a fingerprint of a user. Reflected light generated by using the plurality of point light sources to irradiate the fingerprint of the user forms a light-emitted pattern including a plurality of reflected light patterns on a sensing layer, wherein each of the reflected light patterns is provided by a corresponding point light source, and each of the sensing units senses the reflected light patterns corresponding to at least two point light sources.