The techniques of this disclosure relate to actively selecting lenses for camera focus processes. Lenses to be used during camera assembly are chosen based on whether their pairing with a specific set of production components can satisfy focus performance criteria of end of line test. Test equipment may check the lenses by dry-fit aligning them to a particular set of production components. If minimum focus performance cannot be achieved, then a different set of lenses are used to with that set of production components to produce a final camera assembly. This way, because the lenses are actively selected during production to achieve satisfactory focus performance of the EOLT, each final camera assembly is more likely to pass the EOLT, thereby improving camera production output.

The techniques of this disclosure relate to actively selecting lenses for camera focus processes. Test equipment may check lenses by dry-fit aligning them to a particular set of production components. If minimum focus performance cannot be achieved, then the lenses go unused for a final camera assembly. In certain situations, the unused set of lenses is salvageable for use in another camera assembly. Advanced CMAT equipment may compute and apply a rotation for unused lenses to improve their focus performance the next time they are used in a final assembly. A maximum number of attempts to rotationally fix a set of lenses may be observed to avoid trying the same lenses again and again, possibly without ever having success. This way, because the lenses actively selected can also be rotated during production, final camera assemblies can be produced that are likely to pass the EOLT, and by minimizing waste.

A method of dynamically calibrating a given camera relative to a reference camera of a vehicle includes identifying an overlapping region in an image frame provided by the given camera and an image frame provided by the reference camera and selecting at least a portion of an object in the overlapped region of the reference image frame. Expected pixel positions of the selected object portion in the given image frame is determined based on the location of the selected object portion in the reference image frame, and pixel positions of the selected object portion are located as detected in the given image frame. An alignment of the given camera is determined based on a comparison of the pixel positions of the selected object portion in the given image frame to the expected pixel positions of the selected object portion in the given image frame.

A method of dynamically calibrating a given camera relative to a reference camera of a vehicle includes identifying an overlapping region in an image frame provided by the given camera and an image frame provided by the reference camera and selecting at least a portion of an object in the overlapped region of the reference image frame. Expected pixel positions of the selected object portion in the given image frame is determined based on the location of the selected object portion in the reference image frame, and pixel positions of the selected object portion are located as detected in the given image frame. An alignment of the given camera is determined based on a comparison of the pixel positions of the selected object portion in the given image frame to the expected pixel positions of the selected object portion in the given image frame.

An image processing sensor which enables users to perform a setting operation accurately and easily while confirming an image of a target object is provided.

The image processing sensor has a configuration in which a power supply board, an illumination substrate, a main substrate, an imaging substrate, and a display substrate are housed in an internal space of a casing. The casing includes a first casing member, a second casing member, and a coupling casing member. The coupling casing member is interposed between the first casing member and the second casing member.

An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots.

Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots.

Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

A camera module evaluating apparatus includes a mobile device including a camera module, a transparent display device configured to display an object, a chart positioned farther from the mobile device than the transparent display device and configured to display a long-distance object, and a test device configured to perform an autofocusing (AF) test operation on the camera module when the camera module captures an image of the object.

According to an aspect, there is provided an apparatus comprising at least one processor and at least one memory connected to the at least one processor. The at least one memory stores program instructions that, when executed by the at least one processor, cause the apparatus to determine based on at least one indicator that a camera connected to the apparatus is in a dark environment, initiate a calibration sequence of the camera in response to determining based on the at least one indicator that the camera connected to the apparatus is in a dark environment, capture, during the calibration sequence, multiple images with the camera with different sets of shooting parameters, cause analysis of the captured images to obtain camera calibration data, and store the camera calibration data in a memory of the apparatus.

An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.