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 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 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 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.