Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for facility matching and localization. According to some embodiments of the invention, the location of a pallet at a facility within a supply chain may be determined from location data received from a beacon on the pallet. In some embodiments, the position of the pallet within the facility may also be determined. Thus, the status of pallets may be monitored as they move through the supply chain.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

Abstract: Provided are methods, devices, and computer-program products for tracking goods carriers from a particular source. According to some embodiments of the invention, a computer-implemented method includes training an artificial neural network to count the number of goods carriers from a particular source within an image. Further, the method includes receiving a first image file generated by a first imaging device; using the trained artificial neural network to determine a first number of goods carriers from the particular source in the first image; receiving a second image file generated by a second imaging device; using the trained artificial neural network to determine a second number of goods carriers from the particular source in the second image; and determining whether the first number of goods carriers from the particular source in the first image is equal to the second number of goods carriers from the particular source in the second image.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for facility matching and localization. According to some embodiments of the invention, the location of a pallet at a facility within a supply chain may be determined from location data received from a beacon on the pallet. In some embodiments, the position of the pallet within the facility may also be determined. Thus, the status of pallets may be monitored as they move through the supply chain.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for facility matching and localization. According to some embodiments of the invention, the location of a pallet at a facility within a supply chain may be determined from location data received from a beacon on the pallet. In some embodiments, the position of the pallet within the facility may also be determined. Thus, the status of pallets may be monitored as they move through the supply chain.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

Abstract: A data processing system and method integrates speed or transactional sensor data processing with batch level processing of sensor data using a hybrid-Lambda network architecture. In such a hybrid-Lambda network architecture, speed or transactional processing is performed, batch level processing is performed, and batch level processing results can be combined and integrated with the transactional processing events, and visa-versa, such that real time results can be influenced by long term analytics, and long term analytics can be influenced by real time events. For such processing, both speed or transactional and batch level, can occur as result of any type of sensor data being received, processed, and substantially immediately stored in immutable storage locations, for later retrieval and analysis.

Abstract: Provided are methods, devices, and computer-program products for tracking goods carriers from a particular source. According to some embodiments of the invention, a computer-implemented method includes training an artificial neural network to count the number of goods carriers from a particular source within an image. Further, the method includes receiving a first image file generated by a first imaging device; using the trained artificial neural network to determine a first number of goods carriers from the particular source in the first image; receiving a second image file generated by a second imaging device; using the trained artificial neural network to determine a second number of goods carriers from the particular source in the second image; and determining whether the first number of goods carriers from the particular source in the first image is equal to the second number of goods carriers from the particular source in the second image.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for facility matching and localization. According to some embodiments of the invention, the location of a pallet at a facility within a supply chain may be determined from location data received from a beacon on the pallet. In some embodiments, the position of the pallet within the facility may also be determined. Thus, the status of pallets may be monitored as they move through the supply chain.

Abstract: Provided are methods, including computer-implemented methods, devices, and computer-program products applying systems and methods for pallet identification. According to some embodiments of the invention, a pallet may be visually identified through photographs without attaching physical labels. Thus, the status of pallets may be monitored (e.g., their location and structural integrity) as they move through the supply chain.

Abstract: A data processing system and method integrates speed or transactional sensor data processing with batch level processing of sensor data using a hybrid-Lambda network architecture. In such a hybrid-Lambda network architecture, speed or transactional processing is performed, batch level processing is performed, and batch level processing results can be combined and integrated with the transactional processing events, and visa-versa, such that real time results can be influenced by long term analytics, and long term analytics can be influenced by real time events. For such processing, both speed or transactional and batch level, can occur as result of any type of sensor data being received, processed, and substantially immediately stored in immutable storage locations, for later retrieval and analysis.

Abstract: An improved voltage comparator for use in waveform characterization and like applications is disclosed. The current drawn through two matched transistors connected to a source of current is measured to determine whether a reference signal applied to the base of a first reference transistor is greater or less than the signal to be measured applied to the base of the other transistor. Current is only drawn through the two transistors at times corresponding to desired sampling times, substantially eliminating differential heating effects. The comparator provides substantially reduced settling times, resulting in reduced distortion of the waveform.