Abstract: Systems, methods, and computer-executable instructions for connecting devices includes receiving a device identifier associated with a second device. A search is initiated for a second device profile associated with the device identifier using the device identifier. The second device profile is received. The second device profile includes a device address and a link key. The link key was generated by a second device different from the first device. The address of the first device is set to the device address. Encrypted data is received from the second device addressed to the address.

Abstract: The present invention relates to systems and methods for transport and processing of sectioned biological samples. Preferred embodiments provide for use of a plurality of imaging and processing modalities to characterize sectioned tissue samples. Automated operation of the system provides for multimodal imaging and multistage processing to provide three-dimensional (3D) datasets for each sample.

Abstract: Systems, methods, and computer-executable instructions for connecting devices includes receiving a device identifier associated with a second device. A search is initiated for a second device profile associated with the device identifier using the device identifier. The second device profile is received. The second device profile includes a device address and a link key. The link key was generated by a second device different from the first device. The address of the first device is set to the device address. Encrypted data is received from the second device addressed to the address.

Abstract: Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.

Abstract: Systems and methods for person counting are disclosed. A method may include retrieving an image frame from a plurality of image frames captured by a camera. The image frame may be split into a grid of a plurality of cells of a pre-determined cell dimensions. The pre-determined cell dimensions may be based on dimensions of the retrieved image frame and reference dimensions of training images of a person detection classifier. At least a portion of the plurality of cells may be rearranged to generate a new image. The new image may be padded with at least one padding strip to adjust dimensions of the new image to the reference dimensions of the training images. Person detection may be performed using the new image and the person detection classifier to obtain a number of persons detected within the new image.