An attachment tool includes an image capturing unit configured to capture an image of a random pattern provided on a comparison region of a part; and an identification result-outputting unit configured to output a part identification result obtained by comparing an image characteristic of the captured image of the random pattern with a previously stored image characteristic of a random pattern of a part.

A barcode reading device including a barcode scanner which irradiates a target with a light beam and reads a barcode provided to the target, a camera which captures an image of the target, a display which sequentially displays images captured by the camera, and a processor which performs indicator display control processing of causing an indicator indicating an assumed irradiation position of the light beam to be displayed on the display while being superimposed on the captured image when the barcode is read by the barcode scanner.

The present invention relates to a fingerprint identifying module, including a circuit board, a fingerprint sensing component, a cover plate, and a waterproof sleeve. The fingerprint sensing component is disposed on the circuit board, and the cover plate covers the fingerprint sensing component. The waterproof sleeve partially covers the cover plate and the circuit board, so as to prevent a foreign liquid from entering a space between the fingerprint sensing component and the circuit board. The cover plate includes a cover plate body and an extending portion. The cover plate body covers the fingerprint sensing component. The extending portion surrounds the cover plate body, is located between the waterproof sleeve and the fingerprint sensing component, and may block the foreign liquid from passing.

A method of performing antimicrobial susceptibility testing (AST) on a sample uses a reader device that mounts on a mobile phone having a camera. A microtiter plate containing wells preloaded with the bacteria-containing sample, growth medium, and drugs of differing concentrations is loaded into the reader device. The wells are illuminated using an array of illumination sources contained in the reader device. Images of the wells are acquired with the camera of the mobile phone. In one embodiment, the images are transmitted to a separate computing device for processing to classify each well as turbid or not turbid and generating MIC values and a susceptibility characterization for each drug in the panel based on the turbidity classification of the array of wells. The MIC values and the susceptibility characterizations for each drug are transmitted or returned to the mobile phone for display thereon.

A method, a device, and a computer program product for identifying objects in image data. The device is enabled to, in response to determining that an object type of a first set of object types is represented in the image data, indicate that the object type is represented in captured image data. The device is further enabled to, in response to determining that no object type of the first set of object types is represented in the image data, determine whether the image data comprises an object characteristic of a specific one of a second set of object types. The device is further enabled to, in response to determining that the image data comprises an object characteristic of the specific one of the second set of object types, indicate that the image data comprises an object characteristic of the specific one of the second set of object types.

In some examples, a computing system may include a computing device, a display device, and a camera. The computing device includes a processor and a memory. The display device may be (1) separate from and electronically connected to the computing device or (2) integrated into the computing device. A camera may be connected to the computing device. The camera may be (1) a standalone device or (2) integrated into the display device. The camera may include a lens, a sensor, and a light source. For example, the light source may be a light emitting diode (LED) or an organic LED (OLED). Providing power to the light source causes the light source to emit an amount of light sufficient to saturate the imaging sensor such that if the camera is accessed by an unauthorized user, the image data from the saturated sensor is distorted and unusable to obtain account-related data.

In some examples, a computing system may include a computing device, a display device, and a camera. The computing device includes a processor and a memory. The display device may be (1) separate from and electronically connected to the computing device or (2) integrated into the computing device. A camera may be connected to the computing device. The camera may be (1) a standalone device or (2) integrated into the display device. The camera may include a lens, a sensor, and a light source. For example, the light source may be a light emitting diode (LED) or an organic LED (OLED). Providing power to the light source causes the light source to emit an amount of light sufficient to saturate the imaging sensor such that if the camera is accessed by an unauthorized user, the image data from the saturated sensor is distorted and unusable to obtain account-related data.

Driver assistance system of a motor vehicle, to be connected with a navigation unit and a camera unit; wherein the navigation unit is adapted to access map data representing road segments of a road network located in the geographic proximity of the motor vehicle and road signs located on the road segments, to determine a current position of the motor vehicle located on a road segment, and to provide first information of at least one road sign to the driver assistance system, which road sign is located on a position of a road segment to be traveled by the motor vehicle based on the current position of the motor vehicle. The driver assistance system is adapted to provide second information of the at least one road sign to the camera unit based on the first information provided by the navigation unit. The camera unit is adapted to capture an environment of the motor vehicle, to match the captured environment of the motor vehicle with the second information, to detect a road sign substantially coinciding with the second information in the captured environment, and to provide third information of the at least one detected road sign to the driver assistance system. The driver assistance system is further adapted to output a corresponding signalling to the driver of the motor vehicle or a velocity affecting unit of the motor vehicle based on the third information provided by the camera unit.

In some examples, a computing system may include a computing device, a display device, and a camera. The computing device includes a processor and a memory. The display device may be (1) separate from and electronically connected to the computing device or (2) integrated into the computing device. A camera may be connected to the computing device. The camera may be (1) a standalone device or (2) integrated into the display device. The camera may include a lens, a sensor, and a light source. For example, the light source may be a light emitting diode (LED) or an organic LED (OLED). Providing power to the light source causes the light source to emit an amount of light sufficient to saturate the imaging sensor such that if the camera is hijacked by a third party, the image data from the saturated sensor is distorted and unusable.

A method, a device, and a computer program product for identifying objects in image data. The device is enabled to, in response to determining that an object type of a first set of object types is represented in the image data, indicate that the object type is represented in captured image data. The device is further enabled to, in response to determining that no object type of the first set of object types is represented in the image data, determine whether the image data comprises an object characteristic of a specific one of a second set of object types. The device is further enabled to, in response to determining that the image data comprises an object characteristic of the specific one of the second set of object types, indicate that the image data comprises an object characteristic of the specific one of the second set of object types.