A lifting hook bias angle monitoring apparatus, a vertical hoisting monitoring apparatus, and a mobile crane. One method is that a lifting hook assembly serially connects connecting plates (b3) provided with hinge connection shafts (b2, b4) at two ends to a movable pulley component (b1) which bears a pulling force and a lifting hook component (b7) which bears a pulling force, and is also provided with a biaxial inclinometer (b9) on a platform surface (b8) of the connecting plates (b3) which is perpendicular to a lifting force line of action of the lifting pulley component, so as to detect a real-time lifting hook bias angle, and accordingly be developed into a mobile crane having a vertical hoisting monitoring function.

A lifting hook bias angle monitoring apparatus, a vertical hoisting monitoring apparatus, and a mobile crane. One method is that a lifting hook assembly serially connects connecting plates (b3) provided with hinge connection shafts (b2, b4) at two ends to a movable pulley component (b1) which bears a pulling force and a lifting hook component (b7) which bears a pulling force, and is also provided with a biaxial inclinometer (b9) on a platform surface (b8) of the connecting plates (b3) which is perpendicular to a lifting force line of action of the lifting pulley component, so as to detect a real-time lifting hook bias angle, and accordingly be developed into a mobile crane having a vertical hoisting monitoring function.

An apparatus for correcting a process error includes: a frame; a machining unit formed inside or outside the frame with respect to the frame and performing a predetermined process; a conveying unit formed inside or outside the frame with respect to the frame and performing predetermined conveying; a sensing mark formed on the frame, the machining unit, or the conveying unit; an imaging unit formed inside or outside the frame and creating an original image by imaging the sensing mark; and a measuring unit deriving a 3D position variation value of the frame, the machining unit, or the conveying unit by deriving an image variation value of the sensing mark by analyzing the original image transmitted from the imaging unit imaging the sensing mark formed on the frame, the machining unit, or the conveying unit.

This optical scanning device includes: a shaft part to which a mirror part is connected; a movable magnet; a base part; a ball bearing; a core unit that has a core body and a coil body and rotationally drives the movable magnet; and a magnet position holding member that is a magnetic body provided facing the movable magnet and magnetically attracts the movable magnet to a reference position. The core unit is disposed on the outer surface side of one wall section of a pair of wall sections of the base part. An angle sensor unit for detecting the rotation angle position of the shaft part is disposed between the core unit and the one wall section.

This optical scanning device includes: a shaft part to which a mirror part is connected; a movable magnet; a base part; a ball bearing; a core unit that has a core body and a coil body and rotationally drives the movable magnet; and a magnet position holding member that is a magnetic body provided facing the movable magnet and magnetically attracts the movable magnet to a reference position. The core unit is disposed on the outer surface side of one wall section of a pair of wall sections of the base part. An angle sensor unit for detecting the rotation angle position of the shaft part is disposed between the core unit and the one wall section.

Provided is an object detection device which can detect with high accuracy a symmetrical target object represented in an image. The object detection device includes a memory which stores a model pattern representing a plurality of predetermined features in different positions to each other on a target object when the target object is viewed from a predetermined direction, a feature extraction unit which extracts a plurality of the predetermined features from an image in which the target object is represented, and a collation unit which calculates a degree of coincidence representing a degree of matching between the plurality of the predetermined features of the model pattern and a plurality of the predetermined features extracted from a region corresponding to the model pattern in the image while changing at least one of a relative position or angle, or a relative direction and relative size of the model pattern with respect to the image, and which judges that the target object is represented in the region of the image corresponding to the model pattern when the degree of coincidence is equal to or greater than a predetermined threshold, wherein the predetermined features stored in the memory include a feature of interest which can be used for detecting a position in a specific direction of the target object in the image or which can be used for detecting an angle in a rotational direction centered about a predetermined point of the target object in the image, and the collation unit increases the contribution in the calculation of the degree of coincidence when the feature of interest of the model pattern and a predetermined feature in the image match as compared to the case in which a predetermined feature of the model pattern other than the feature of interest and the predetermined feature in the image match to calculate the degree of coincidence.

The following are observed using a camera: a first position of a small hole of a workpiece, which is fixed to a linear-and-tilting-motion stage and rotating with a rotating body, and a second position thereof different from the first position, at a first rotation angle of the rotating body; and the first position and the second position of the small hole of the workpiece at a second rotation angle different from the first rotation angle of the rotating body. A position and a tilt of the small hole are calculated from coordinates of the respective observed positions, and small hole information, which includes the position and the tilt of the small hole, is outputted.

Techniques for determining positions of devices within an environment are described herein. In some instances, an environment, such as a home or office of a user, may include an array of devices, some or all of which may couple to a network or to other devices via short-range wireless connections (e.g., Bluetooth®, Zigbee®, etc.). These devices may capture an array of data for providing to a central service, which is configured to analyze the data and, based on this analysis, determine a location of the devices relative to one another. That is, the central service may analyze the data to determine relative distances and orientations between the identified devices within the environment.

An electronic device includes a rotating member and an infrared module that are disposed opposite to each other. A surface of the rotating member opposite to the infrared module is provided with an annular region, a reflective surface is disposed on the annular region, and a width of the reflective surface gradually increases or gradually decreases along a circumferential direction of the annular region. The infrared module includes an infrared transmitter and an infrared receiver, and light emitted by the infrared transmitter is reflected by the reflective surface and then received by the infrared receiver.

An electronic device includes a rotating member and an infrared module that are disposed opposite to each other. A surface of the rotating member opposite to the infrared module is provided with an annular region, a reflective surface is disposed on the annular region, and a width of the reflective surface gradually increases or gradually decreases along a circumferential direction of the annular region. The infrared module includes an infrared transmitter and an infrared receiver, and light emitted by the infrared transmitter is reflected by the reflective surface and then received by the infrared receiver.