A lamp and a method for detecting a user's sitting posture are provided. The lamp is adapted to detect the user's sitting posture. The lamp comprises a lamp bracket, an image capturing unit and a processing unit. The image capturing unit is disposed on the lamp bracket and configured to capture a target image towards a desktop. The processing unit is coupled to the image capturing unit, wherein in response to that a head feature exists in the target image, the processing unit is configured to determine a reference information according to the head feature and to determine whether the reference information meets a poor sitting posture condition.

A lamp and a method for detecting a user's sitting posture are provided. The lamp is adapted to detect the user's sitting posture. The lamp comprises a lamp bracket, an image capturing unit and a processing unit. The image capturing unit is disposed on the lamp bracket and configured to capture a target image towards a desktop. The processing unit is coupled to the image capturing unit, wherein in response to that a head feature exists in the target image, the processing unit is configured to determine a reference information according to the head feature and to determine whether the reference information meets a poor sitting posture condition.

A method and system for creating a custom-fit orthopedic cast comprises obtaining at least one measurements taken from at least one image of a body part, selecting a template cast, modifying the template cast according to the measurements taken from the at least one image to generate a custom cast model and rendering a custom cast based on the custom cast model.

A method and system for creating a custom-fit orthopedic cast comprises obtaining at least one measurements taken from at least one image of a body part, selecting a template cast, modifying the template cast according to the measurements taken from the at least one image to generate a custom cast model and rendering a custom cast based on the custom cast model.

In a computer-implemented method, one or more digital aerial images of a property of a current or potential policyholder may be received. The digital aerial image(s) may be processed to determine one or more features of the property, including one or more features of a tree. A predicted location of roots of the tree is determined based upon the tree feature(s). The property feature(s) is/are analyzed to determine a risk of damage to a structure located on the property, by analyzing at least the predicted location of roots of the tree to determine a risk of damage to a foundation of the structure. Based at least in part on this risk, a risk output is generated that includes an indication of whether action should be taken to mitigate the risk of damage and/or whether insurance coverage should be offered, and/or includes a measure of the risk of damage.

A deposit detection device according to an embodiment includes an adhesion detection module, a moving adhesion detection module, and a determination module. The adhesion detection module detects a deposit region corresponding to a deposit adhering to an imaging device, based on brightness information of an image captured by the imaging device. The moving adhesion detection module detects the deposit region detected during moving of the vehicle as a moving deposit region, from among the deposit regions detected by the adhesion detection module. When the area of the moving deposit region detected by the moving adhesion detection module is equal to or larger than a first threshold value, the determination module determines that there is a deposit.

To improve calculation efficiency by properly reducing the number of regression regions based on a size of an object to be detected, a processing apparatus has at least one processor or circuit configured to function as: a size obtain unit configured to obtain a size of a predetermined object in the image; a set unit configured to divide the image into a plurality of regions based on the size of the predetermined object obtained by the size obtain unit, and to set regression regions for estimating a number of the predetermined object, wherein the set unit is configured to inhibit to set the regression regions smaller than a predetermined minimum size corresponding to the predetermined object, and an estimate unit configured to estimate the number of the predetermined object by performing a regression process on the regression regions set by the set unit.

To improve calculation efficiency by properly reducing the number of regression regions based on a size of an object to be detected, a processing apparatus has at least one processor or circuit configured to function as: a size obtain unit configured to obtain a size of a predetermined object in the image; a set unit configured to divide the image into a plurality of regions based on the size of the predetermined object obtained by the size obtain unit, and to set regression regions for estimating a number of the predetermined object, wherein the set unit is configured to inhibit to set the regression regions smaller than a predetermined minimum size corresponding to the predetermined object, and an estimate unit configured to estimate the number of the predetermined object by performing a regression process on the regression regions set by the set unit.

Certain embodiments of the disclosure may include devices, systems, and methods for photographing and dimensioning objects in a photo booth. The devices may include multiple sets of components, and the multiple sets of components may be mounted in different locations of the booth as desired and as needed, for example, depending on the object to be photographed and dimensioned. The photo booth components and functions can be operated and managed via central processing and via user interface and can be in communication with remote computers.

Certain embodiments of the disclosure may include devices, systems, and methods for photographing and dimensioning objects in a photo booth. The devices may include multiple sets of components, and the multiple sets of components may be mounted in different locations of the booth as desired and as needed, for example, depending on the object to be photographed and dimensioned. The photo booth components and functions can be operated and managed via central processing and via user interface and can be in communication with remote computers.