Abstract: A wearable device for sensing vital signs includes a flexible housing, at least one light emitter attached to the flexible housing, the at least one light emitter configured to emit optical signals, and light sensors attached to the flexible housing. The light sensors are positioned on opposite sides of the at least one light emitter. The flexible housing is structured to attach to a skin surface and flex at least partially around an anatomical structure enabling the light sensors to receive both reflective and transmissive optical signals near a chest of a subject.

Abstract: A suite of components for monitoring a subject includes one or more ECG electrodes, a securement component adapted to hold the one or more electrodes to the subject's body, and a host removably connected to or adapted to be removably connected to the one or more electrodes. The host includes a sensor, a processor, and an energy source.

Abstract: Methods to improve the accuracy of non-contact measurements of an object's dimensions using a dimensioning system are disclosed. The methods include a method for creating a mathematical model (i.e., error model) based on an observed correlation between errors in an estimated dimension and the characteristics of the measurement used to obtain the estimated dimension. These error models may be created for various dimensions and stored for future use. The methods also include a method for using the stored error models to reduce the error associated with a particular dimensioning-system measurement. Here an error model is used to create an estimated error. The estimated error is then removed from the estimate of the dimension to produce a final estimate of the dimension that is more accurate.

Abstract: Methods to improve the accuracy of non-contact measurements of an object's dimensions using a dimensioning system are disclosed. The methods include a method for creating a mathematical model (i.e., error model) based on an observed correlation between errors in an estimated dimension and the characteristics of the measurement used to obtain the estimated dimension. These error models may be created for various dimensions and stored for future use. The methods also include a method for using the stored error models to reduce the error associated with a particular dimensioning-system measurement. Here an error model is used to create an estimated error. The estimated error is then removed from the estimate of the dimension to produce a final estimate of the dimension that is more accurate.

Abstract: Methods to improve the accuracy of non-contact measurements of an object's dimensions using a dimensioning system are disclosed. The methods include a method for creating a mathematical model (i.e., error model) based on an observed correlation between errors in an estimated dimension and the characteristics of the measurement used to obtain the estimated dimension. These error models may be created for various dimensions and stored for future use. The methods also include a method for using the stored error models to reduce the error associated with a particular dimensioning-system measurement. Here an error model is used to create an estimated error. The estimated error is then removed from the estimate of the dimension to produce a final estimate of the dimension that is more accurate.

Abstract: Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Abstract: A dimensioning system including a computing device running an alignment software program is disclosed. The alignment software uses range information from a range sensor in order to generate alignment messages. The alignment messages may help a user define a frame of reference and align the dimensioning system's range sensor for improved dimensioning performance.

Abstract: A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Abstract: A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Abstract: Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Abstract: Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Abstract: An indicia reading terminal has a three-dimensional depth sensor, a two dimensional image sensor, an autofocus lens assembly, and a processor. The three dimensional depth sensor captures a depth image of a field of view and create a depth map from the depth image, the depth map having one or more surface distances. The two dimensional image sensor receives incident light and capture an image therefrom. The autofocusing lens assembly is positioned proximate to the two dimensional image sensor such that the incident light passes through the autofocusing lens before reaching the two dimensional image sensor. The processor is communicatively coupled to the two dimensional image sensor, the three dimensional depth sensor, and the autofocusing lens assembly.

Abstract: Dimensioning systems may automate or assist with determining the physical dimensions of an object without the need for a manual measurement. A dimensioning system may project a light pattern onto the object, capture an image of the reflected pattern, and observe changes in the imaged pattern to obtain a range image, which contains 3D information corresponding to the object. Then, using the range image, the dimensioning system may calculate the dimensions of the object. In some cases, a single range image does not contain 3D data sufficient for dimensioning the object. To mitigate or solve this problem, the present invention embraces capturing a plurality of range images from different perspectives, and then combining the range images (e.g., using image-stitching) to form a composite range-image, which can be used to determine the object's dimensions.

Abstract: An indicia reading terminal has a three-dimensional depth sensor, a two dimensional image sensor, an autofocus lens assembly, and a processor. The three dimensional depth sensor captures a depth image of a field of view and create a depth map from the depth image, the depth map having one or more surface distances. The two dimensional image sensor receives incident light and capture an image therefrom. The autofocusing lens assembly is positioned proximate to the two dimensional image sensor such that the incident light passes through the autofocusing lens before reaching the two dimensional image sensor. The processor is communicatively coupled to the two dimensional image sensor, the three dimensional depth sensor, and the autofocusing lens assembly.

Abstract: A dimensioning system including a computing device running an alignment software program is disclosed. The alignment software uses range information from a range sensor in order to generate alignment messages. The alignment messages may help a user define a frame of reference and align the dimensioning system's range sensor for improved dimensioning performance.

Abstract: A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Abstract: A dimensioning system including a computing device running an alignment software program is disclosed. The alignment software uses range information from a range sensor in order to generate alignment messages. The alignment messages may help a user define a frame of reference and align the dimensioning system's range sensor for improved dimensioning performance.

Abstract: A method is presented for correcting errors in a 3D scanner. Measurement errors in the 3D scanner are determined by scanning each of a plurality of calibration objects in each of a plurality of sectors in the 3D scanner's field of view. The calibration objects have a known height, a known width, and a known length. The measurements taken by the 3D scanner are compared to the known dimensions to derive a measurement error for each dimension in each sector. An estimated measurement error is calculated based on scans of each of the plurality of calibration objects. When scanning target objects in a given sector, the estimated measurement error for that sector is used to correct measurements obtained by the 3D scanner.

Abstract: An indicia reading terminal has a three-dimensional depth sensor, a two dimensional image sensor, an autofocus lens assembly, and a processor. The three dimensional depth sensor captures a depth image of a field of view and create a depth map from the depth image, the depth map having one or more surface distances. The two dimensional image sensor receives incident light and capture an image therefrom. The autofocusing lens assembly is positioned proximate to the two dimensional image sensor such that the incident light passes through the autofocusing lens before reaching the two dimensional image sensor. The processor is communicatively coupled to the two dimensional image sensor, the three dimensional depth sensor, and the autofocusing lens assembly.

Abstract: A current problem with 3D scanners using structured light patterns is choosing a single light pattern to accommodate all possible object/range conditions. Objects far from the 3D scanner often require different patterns than objects that located close to the 3D scanner. In addition, large objects often require different patterns than small objects. To automatically sense and adapt to a wide variety of size/range conditions, the present invention embraces a 3D scanner for dimensioning that has two projectors for projecting two different light patterns. Based on the scanning requirements for a particular object, one of the two projected patterns may be used to obtain information regarding the shape of an object. In one possible embodiment, this shape information is used to obtain the object's dimensions.