Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and a data storage device storing reference data for each storage drawer. The reference data includes, for each region of interest corresponding to each respective storage drawer, at least one of a reference image signature representing attributes of the region of interest when a stored object is present, and a reference image signature representing attributes of the region of interest when the stored object is not present.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and a data storage device storing reference data for each storage drawer. The reference data includes, for each region of interest corresponding to each respective storage drawer, at least one of a reference image signature representing attributes of the region of interest when a stored object is present, and a reference image signature representing attributes of the region of interest when the stored object is not present.

Abstract: Systems and methods for determining an inventory condition of objects based on captured images are described. An exemplary inventory control system or method utilizes a highly efficient and economical approach to apply suitable imaging parameters for capturing images of a storage drawer being accessed by a user, or for manipulating the captured images of the drawer. An inventory condition of the drawer is determined based on the captured images or manipulated images.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and a data storage device storing reference data for each storage drawer. The reference data includes, for each region of interest corresponding to each respective storage drawer, at least one of a reference image signature representing attributes of the region of interest when a stored object is present, and a reference image signature representing attributes of the region of interest when the stored object is not present.

Abstract: Systems and methods for determining an inventory condition of objects based on captured images are described. An exemplary inventory control system or method utilizes a highly efficient and economical approach to apply suitable imaging parameters for capturing images of a storage drawer being accessed by a user, or for manipulating the captured images of the drawer. An inventory condition of the drawer is determined based on the captured images or manipulated images.

Abstract: Systems and methods for determining an inventory condition of objects based on captured images are described. An exemplary inventory control system or method utilizes a highly efficient and economical approach to apply suitable imaging parameters for capturing images of a storage drawer being accessed by a user, or for manipulating the captured images of the drawer. An inventory condition of the drawer is determined based on the captured images or manipulated images.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects, wherein each drawer is associated with an identifier with known color attributes; and an image sensing device configured to capture an image of one of the storage drawers along with the associated identifier. A data storage device of the system stores, for each storage drawer, information of the known color attributes of the associated identifier.

Abstract: A vehicle wheel alignment method and system is provided. A three-dimensional target is attached to a vehicle wheel known to be in alignment. The three-dimensional target has multiple target elements thereon, each of which has known geometric characteristics and 3D spatial relationship with one another.

Abstract: A vehicle wheel alignment method and system is provided. A three-dimensional target is attached to a vehicle wheel known to be in alignment. The three-dimensional target has multiple target elements thereon, each of which has known geometric characteristics and 3D spatial relationship with one another.

Abstract: A vehicle wheel alignment method and system is provided. A three-dimensional target is attached to a vehicle wheel known to be in alignment. The three-dimensional target has multiple target elements thereon, each of which has known geometric characteristics and 3D spatial relationship with one another.

Abstract: A vehicle wheel alignment method and system is provided. A three-dimensional target is attached to a vehicle wheel known to be in alignment. The three-dimensional target has multiple target elements thereon, each of which has known geometric characteristics and 3D spatial relationship with one another.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects; and a data storage device storing reference data for each storage drawer. The reference data includes, for each region of interest corresponding to each respective storage drawer, at least one of a reference image signature representing attributes of the region of interest when a stored object is present, and a reference image signature representing attributes of the region of interest when the stored object is not present.

Abstract: Systems and methods for determining an inventory condition of objects based on captured images are described. An exemplary inventory control system or method utilizes a highly efficient and economical approach to apply suitable imaging parameters for capturing images of a storage drawer being accessed by a user, or for manipulating the captured images of the drawer. An inventory condition of the drawer is determined based on the captured images or manipulated images.

Abstract: Systems for monitoring an inventory condition of objects based on captured images are described. An exemplary system includes at least one storage drawer, each storage drawer including a plurality of storage locations for storing objects, wherein each drawer is associated with an identifier with known color attributes; and an image sensing device configured to capture an image of one of the storage drawers along with the associated identifier. A data storage device of the system stores, for each storage drawer, information of the known color attributes of the associated identifier.

Abstract: A method is provided for calibrating a sensor pod of a wheel alignment system, the sensor pod including a housing rotatably mounted on a spindle, and an image sensor in the housing having a viewing axis oriented in a direction substantially normal to an axis of rotation of the spindle for imaging a target affixed to an object such as a vehicle wheel. An example of the method includes mounting the pod on a fixture via the pod spindle such that the pod spindle is stationary, and positioning a target to allow imaging of the target with the pod image sensor. The pod is rotated such that its image sensor obtains images of the target in at least two rotational positions, and the images of the target at the at least two rotational positions are processed to determine the location of the axis of rotation of the spindle relative to the image sensor.

Abstract: A method is provided for calibrating a sensor pod of a wheel alignment system, the sensor pod including a housing rotatably mounted on a spindle, and an image sensor in the housing having a viewing axis oriented in a direction substantially normal to an axis of rotation of the spindle for imaging a target affixed to an object such as a vehicle wheel. An example of the method includes mounting the pod on a fixture via the pod spindle such that the pod spindle is stationary, and positioning a target to allow imaging of the target with the pod image sensor. The pod is rotated such that its image sensor obtains images of the target in at least two rotational positions, and the images of the target at the at least two rotational positions are processed to determine the location of the axis of rotation of the spindle relative to the image sensor.

Abstract: A vehicle wheel alignment method and system is provided. A three-dimensional target is attached to a vehicle wheel known to be in alignment. The three-dimensional target has multiple target elements thereon, each of which has known geometric characteristics and 3D spatial relationship with one another.

Abstract: In a vehicle alignment system an optical sensing mechanism is structurally coupled to a vehicle supporting lift for movement in unison with the lift so that the field of view of the sensing mechanism encompasses a wheel of a vehicle positioned on the lift during lift movement. Sensing modules may be selectively placed so that they are in correspondence with the vehicle wheel base. Modules may be deployed to extend outwardly from the lift, for viewing the wheel during an alignment procedure, or retract to a adjacent the lift for stowing. A protective cover extends above the sensing modules in the retracted position.

Abstract: Alignment between the wheels of a vehicle is determined using a position determination system and includes indicating wheel positions on the vehicle with targets; imaging the targets to obtain locations of the wheel positions; and calculating a relationship between the front and rear wheels. Alignment is aided by calculating rear and front wheel tracks and comparing the calculated front and rear wheel tracks to a specified range for the front and rear wheel tracks. Also, right and left wheel bases can be calculated and the calculated right and left wheel bases to can be compared a specified range for the right and left wheel bases. Measures of offset and skew can also be obtained. A computer-implemented position determination system for determining alignment between the wheels of a vehicle is disclosed.

Abstract: A target system for determining the location of a position on a vehicle comprises a target body, one or more target elements, a trigger, and a point definer. The target elements are disposed on the target body and are detectable by a position determination system. The trigger is positioned on the target body and is remote from the position determination system. The trigger operates the position determination system by selectively changing the detection of one or more of the target elements by the position determination system. The point definer extends from the target body, and the point definer includes a point its a distal end. The point is capable of being located adjacent the position on the vehicle and is at a known location from the target body. The position determination system determines a location of the target body after detecting the target elements disposed on the target body. Methods of using the target system are disclosed.