Embodiments of the present disclosure provide a method and apparatus for device testing via an optical interface. In one instance, the apparatus may comprise a test controller to operate a camera to generate an image to capture test data displayed on a screen of a device under test. The test controller may be configured to extract the test data from the image, analyze the test data, and generate feedback information for the device under test, based at least in part on a result of the analysis of the test data. The camera may be included in the apparatus and communicatively coupled with the test controller. Other embodiments may be described and/or claimed.

An apparatus for recognizing faces with different illuminations may include a processor and memory storing executable computer program code causing the apparatus to at least perform operations including detecting and extracting face data of a first candidate face of a first image and a second candidate face of a second image. The first image is associated with a first light intensity and the second image associated with a second light intensity different from the first light intensity. The computer program code may further cause the apparatus to analyze face data to determine whether the first candidate face corresponds to an area in the first image that is substantially the same as an area of the second candidate face and evaluate data of the first and second areas to determine whether the first and second candidate faces are valid or invalid faces. Corresponding methods and computer program products are also provided.

Two system-level bronchoscopy guidance solutions are presented. The first incorporates a global-registration algorithm to provide the physician with updated navigational and guidance information during bronchoscopy. The system can handle general navigation to a region of interest (ROI), as well as adverse events, and it requires minimal commands so that it can be directly controlled by the physician. The second solution visualizes the global picture of all the bifurcations and their relative orientations in advance and suggests the maneuvers needed by the bronchoscope to approach the ROI. Guided bronchoscopy results using human airway-tree phantoms demonstrate the potential of the two solutions.

An image pickup device transmits to a server a transmission sample including a detection image detected by a first detection section from a transmitting/receiving section under the control of a transmission sample control section. The server performs detection processing that requires more resources than those of the first detection section on the detection image transmitted by a second detection section from the image pickup device, and determines whether or not the detection image in question is spurious, based on a second detection score which is thereby obtained. A transmission frequency deciding section generates transmission frequency control information such as to raise the transmission frequency by an image pickup device that has a high frequency of spurious detection; a transmitting/receiving section transmits the transmission frequency control information to the image pickup device.

In a digital signage apparatus, a controller makes an imaging unit photograph in a first image quality mode and performs face recognition to a captured image obtained by the imaging unit. When the predetermined condition is satisfied in which the behavior of the person in front of the digital signage apparatus is assumed to be interested in the digital signage apparatus, the controller makes the imaging unit photograph in the second image quality mode higher than the first image quality and performs the face recognition to the captured image obtained by the imaging unit. The above case includes cases where the user operation has been detected, where the size of the face recognized from the captured image is equal to or larger than the predetermined size, and where the moving amount of the face recognized from the captured image is equal to or less than the predetermined amount.

According to various embodiments of the present disclosure, an electronic device may include a camera configured to photograph an iris and a processor configured to perform iris recognition by using the photographed iris image, wherein the processor is further configured to determine a part of the iris image for the iris recognition has failed and re-perform the iris recognition for the determined part of the iris image. Another embodiment is also possible.

A method may include obtaining an image including a face. The method may further include determining at least one time domain feature related to the face in the image and at least one frequency domain information related to the face in the image. The method may further include evaluating the quality of the image based on the at least one time domain feature and the frequency domain information.

A method of inspecting a label attached to a food pack comprising: determining the location of a plurality of target portions of the label; inspecting the target portions to identify at least the presence of text and/or graphic information within each target portion; and determining whether or not each target portion successfully compares with corresponding predetermined criteria; and determining that the label is unacceptable if the total number of successful comparisons is below a predetermined acceptance threshold.

An optical fingerprint recognition circuit and a display device are provided, which includes a first thin film transistor, a first switching unit, a second switching unit, a reset compensation unit, a storage capacitor, and a photodiode. The reset compensation unit resets a voltage of the gate of the first thin film transistor under the control of a reset signal, and the voltage is set to a sum of a predetermined voltage and a threshold voltage of the first thin film transistor through a reference voltage under the control of the reset signal, thereby compensating the threshold voltage. After the photodiode receives the light signal and changes the voltage according to the light signal, the first thin film transistor generates a corresponding current according to the voltage of its gate, which is independent of the threshold voltage. The accuracy of a recognition signal is ensured.

A face recognition technology that enables high-speed determination of erroneous detection of face regions and high-precision face recognition by means of a first face recognition processing unit of relatively low accuracy for detecting a face region of a person on each captured image captured by a monitor camera, and a second face recognition processing unit for performing face recognition of a person more accurately with respect to the detected face region transmitted from the first face recognition processing unit. The second face recognition. processing unit determines that the first face recognition processing unit has erroneously detected when the second face recognition processing unit is not able to recognize a face region on the detected face region transmitted from the first face recognition processing unit, and the first face recognition processing unit calculates and self-learns a barycentric coordinate of the detected face region as a point mask position. Thereafter, the first face recognition. processing unit checks whether or not the coordinate of the barycentric position has already been stored in a storage as one of the point mask position, and, when the coincident coordinate of the point mask position is found in the data of the barycentric coordinates, this face recognition system does not perform more accurate face recognition processing by the second face recognition processing unit, and proceeds to the next face recognition processing on the next captured image.