A method and device of multi-focal sensing of an obstacle. A method includes acquiring detection results of obstacles at multiple moments by utilizing a camera with long focus lens and a camera with short focus lens; performing a target tracking to the acquired detection results, to obtain at least two tracking sequences, wherein each tracking sequence includes detection results acquired at the multiple moments for a same obstacle; and matching two random tracking sequences of the at least two tracking sequences, and combining the two random tracking sequences into a combined tracking sequence, if the matching is successful.

Example camera apparatus for generating machine vision data and related methods are disclosed herein. An example apparatus disclosed herein includes a first camera coupled to a movable turret and a second camera coupled to the movable turret. The first camera and the second camera are co-bore sighted. The first camera and the second camera are to generate image data of an environment. The example apparatus includes a processor in communication with at least one of the first camera or the second camera. The processor is to generate a first image data feed and a second image data feed based on the image data. The first image data feed includes a first image data feature and the second image data feed includes a second image data feature different than the first image data feature. The processor is to transmit the second image data feed for analysis by a machine vision analyzer.

A display positioning system is described. In an example implementation, the display positioning system includes an adapter adapted to redirect a field of view of a video capture device of a computing device; and a stand adapted to situate on a surface, the stand including one or more legs that are adjustable to modify a distance between the video capture device of the computing device and the surface when the computing device is placed on the stand to adjust the field of view of the video capture device.

A surgical navigation system includes a first tracking unit, a second tracking unit and a processing unit. The first tracking unit captures a first infrared image of a position identification unit that includes a reference target fixed on a patient and an instrument target disposed on a surgical instrument. The second tracking unit captures a second infrared image of the position identification unit. The processing unit performs image recognition on the first and second infrared images with respect to the position identification unit, and uses, based on a result of the image recognition, a pathological image and one of the first and second infrared images to generate an augmented reality image.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

The iris recognition device includes an iris camera module used for collecting iris characteristics of a user, and at least one fill light component used for providing a supplementary light source for the iris camera module. When the iris recognition device is used for collecting the iris characteristics of the user, the supplementary light source provided by the fill light component reduces reflective spots on the iris or make reflective spots in areas other than iris such as sclera and pupil, thereby improving precision of the collected iris characteristics of the user.

The present disclosure relates to a door lock having an infrared biometrics information collection device. In certain embodiments, the door lock includes, a door with a door handle for opening the door, an infrared light source, and an infrared biometrics information collection sensor. The infrared light source includes one or more infrared light emitters. The infrared biometrics information collection sensor captures at least one infrared image of biometrics information of the one or more fingers of a target human hand. The fingers are positioned between the infrared light source and the infrared biometrics information collection sensor. The infrared light source irradiates infrared light through one or more fingers to generate infrared images of biometrics information of fingers to be captured by infrared biometrics information collection sensor, infrared images of biometrics information captured are used for user authentications, and the door lock can be unlocked by an authenticated user.

A mobile robot including a vision system, the vision system including a camera and an illumination system; the illumination system including a plurality of light sources arranged to provide a level of illumination to an area surrounding the mobile robot; and a control system for controlling the illumination system. The control system adjusts the level of illumination provided by the plurality of light sources based on an image captured by the camera; an exposure time of the camera at the time the image was captured; and robot rotation information.

Technologies are described herein for converting the output of a pressure sensitive mat into an image and processing the image to identify the products present on the mat. An example system includes a processor configured to read pressure values from the plurality of pressure sensors on the pressure sensitive mat and generate an image with each pixel in the image encoding a value corresponding to a pressure value read from the pressure sensitive mat. A server may be configured to receive the image from the processor and process the image to identify one or more types of products that may be present on the pressure sensitive mat for each product package detected to be present on the pressure sensitive mat based on a combination of two or more of a shape of the product package, one or more dimensions of the product package, or a weight of the product package.

An area determining unit (3) for determining whether a detected face area is located within an area set for authenticating an occupant sitting on a front seat of a vehicle, a face orientation detecting unit (4) for detecting orientation of a face of a person on the basis of position information in a taken image of an element of the face of the person detected when the face area is determined to be located within the set area, a face orientation determining unit (5) for determining whether the orientation of the face of the person detected is within a range of the face orientation set for authenticating the occupant sitting on the front seat of the vehicle, and an authentication processing unit (6) for collating characteristic information of the taken image of the face area with characteristic information of a taken image for authentication accumulated in advance and authenticating the person whose face area is detected when the orientation of the face of the person is determined to be within the set range of the face orientation.