Abstract: A device includes a casing, circuitry within the casing, and a temperature sensor. The temperature sensor is connected to the circuitry and is attached to the casing in such a way that an air gap separates the temperature sensor from the casing. The temperature sensor is attached to the casing in a bridge. The bridge includes a first backing and a second backing, which includes a grommet. The temperature sensor is positioned between a portion of the first backing and a portion of the second backing, and includes a flex lead that is electrically connected through the grommet of the second backing to the circuitry inside the casing.

Abstract: Aspects of the disclosure provide for testing of tracking tags. Tracking tags may include circuitry configured to operate in a normal operating mode for sending first beacon signals to enable the tracking of objects, and to operate in a testing mode for sending second beacon signals to enable testing of the tracking tag. A testing system may include a reader including an antenna configured to receive one or more beacon signals. The example system may also include one or more computing devices having one or more processors and being in communication with the reader. The one or more computing devices may also be configured to induce a tracking tag to generate the one or more beacon signals in a testing mode, the one or more beacon signals including an encrypted or unencrypted payload. The system may use the payload to determine whether to mark the tracking tag to be discarded.

Abstract: A computer-implemented method includes: obtaining ideal delivery conditions associated with one or more food products; accumulating sensor data associated with a first food product, wherein the sensor data is obtained by at least one sensor which is coupled to a product container containing the first food product; analyzing the sensor data obtained by the at least one sensor associated with the first food product; identifying condition data associated with conditions in the product container containing the first food product; generating a food product history for the first food product including the condition data; comparing the food product history to the ideal delivery conditions for analyzing performance of entities involved in delivery of the first food product from an origin to a destination using at least the food product history, the condition data, and the ideal delivery conditions; and generating a report of results of the analysis.

Abstract: Aspects of the disclosure provide systems including linear material and tracking tags. The tracking tag may be at least initially arranged on the liner material. The tracking tag may also include a top layer, beacon transmission circuitry, a bottom layer of adhesive, and an activation mechanism. The activation mechanism may be configured to activate the tracking tag and cause the beacon transmission circuitry to transmit beacon signals in order to enable tracking of the object.

Abstract: Aspects of the disclosure provide tracking tags. As an example, a tracking tag may include beacon transmission circuitry including one or more batteries, a frame configured to hold the one or more batteries in place, an adhesive arranged to secure the tracking tag to an object, and an activation mechanism configured to activate the tracking tag and cause the beacon transmission circuitry to transmit beacon signals in order to enable tracking of the object.

Abstract: Aspects of the disclosure provide systems including linear material and tracking tags. A first tracking tag may be at least initially arranged on the liner material. The first tracking tag may also include beacon transmission circuitry including one or more batteries, a top layer, a bottom layer including an adhesive, and an activation mechanism. The activation mechanism may be configured to activate the first tracking tag and cause the beacon transmission circuitry to transmit beacon signals in order to enable tracking of the object.

Abstract: A computer-implemented method includes: obtaining ideal delivery conditions associated with one or more food products; accumulating sensor data associated with a first food product, wherein the sensor data is obtained by at least one sensor which is coupled to a product container containing the first food product; analyzing the sensor data obtained by the at least one sensor associated with the first food product; identifying condition data associated with conditions in the product container containing the first food product; generating a food product history for the first food product including the condition data; comparing the food product history to the ideal delivery conditions for analyzing performance of entities involved in delivery of the first food product from an origin to a destination using at least the food product history, the condition data, and the ideal delivery conditions; and generating a report of results of the analysis.

Abstract: A computer-implemented method for managing a product delivery process, according to one embodiment, includes receiving status information about a product container that contains a food product. The status information includes sensor-derived conditions of the product container including at least a temperature in the product container. Preferred ranges for the conditions of the product container are determined based on a profile associated with the food product stored therein. A determination is also made as to whether the received conditions from the product container are within the preferred ranges. A command is sent in response to determining that at least one of the received conditions is and/or has been outside the preferred range associated therewith for a predetermined amount of time.

Abstract: A computer-implemented method for managing a food delivery process, according to one embodiment, includes receiving a food product history for each type of food product stored in each of a plurality of product containers. At least one of the food products is predestined for a first destination that is different than a second destination of another of the food products. Each food product history includes: an expiration date of the associated food product, storage time information, storage condition information, and temperature history. The food product history is used to determine a prioritized delivery scheme for the product containers. The prioritized delivery scheme is sent to an individual transporting the product containers and/or to a dispatcher.

Abstract: A computer-implemented method for generating a report about a food product delivery process, according to one embodiment, includes receiving status information about a product container that contains a food product at different times as the product container travels from an origin to a destination. The status information includes sensor-derived conditions in the product container including at least temperature. The status information is stored. The performance of entities involved in delivery of the food product are analyzed relative to ideal handling or process conditions for the type of food product from the origin to the destination using the status information. A report of results of the analysis is output.

Abstract: A method for managing a product delivery process, according to one embodiment, includes: receiving status information from one or more product containers, wherein the status information includes conditions of each of the one or more product containers; determining preferred ranges for the conditions of each of the one or more product containers based on a product stored in each of the one or more product containers; determining whether the received conditions from the one or more product containers are within the preferred ranges; and sending a command in response to determining that at least one of the received conditions is outside the determined preferred range.

Abstract: A computer-implemented method according to one embodiment includes receiving, by the computer, status information about one or more product containers, wherein the status information includes conditions of each of the one or more product containers. Preferred ranges for the conditions of each of the one or more product containers are determined based on food products stored in the one or more product containers, where the preferred ranges change over time by a predefined amount per unit time, and where the predefined amount and the unit time are specified in a profile associated with products stored in the one or more product containers. A determination is made as to whether the received conditions from the one or more product containers are within the preferred ranges. A first command is sent in response to determining that at least one of the received conditions is outside the determined preferred range.

Abstract: A computer-implemented method for managing a product delivery process, according to one embodiment, includes receiving status information about a product container that contains a food product. The status information includes sensor-derived conditions of the product container including at least a temperature in the product container. Preferred ranges for the conditions of the product container are determined based on a profile associated with the food product stored therein. A determination is also made as to whether the received conditions from the product container are within the preferred ranges. A command is sent in response to determining that at least one of the received conditions is and/or has been outside the preferred range associated therewith for a predetermined amount of time.

Abstract: A computer-implemented method according to one embodiment includes receiving, by the computer, status information about one or more product containers, wherein the status information includes conditions of each of the one or more product containers. Preferred ranges for the conditions of each of the one or more product containers are determined based on food products stored in the one or more product containers, where the preferred ranges change over time by a predefined amount per unit time, and where the predefined amount and the unit time are specified in a profile associated with products stored in the one or more product containers. A determination is made as to whether the received conditions from the one or more product containers are within the preferred ranges. A first command is sent in response to determining that at least one of the received conditions is outside the determined preferred range.

Abstract: A computer-implemented method for generating a report about a food product delivery process, according to one embodiment, includes receiving status information about a product container that contains a food product at different times as the product container travels from an origin to a destination. The status information includes sensor-derived conditions in the product container including at least temperature. The status information is stored. The performance of entities involved in delivery of the food product are analyzed relative to ideal handling or process conditions for the type of food product from the origin to the destination using the status information. A report of results of the analysis is output.

Abstract: A computer-implemented method for managing a food delivery process, according to one embodiment, includes receiving a food product history for each type of food product stored in each of a plurality of product containers. At least one of the food products is predestined for a first destination that is different than a second destination of another of the food products. Each food product history includes: an expiration date of the associated food product, storage time information, storage condition information, and temperature history. The food product history is used to determine a prioritized delivery scheme for the product containers. The prioritized delivery scheme is sent to an individual transporting the product containers and/or to a dispatcher.

Abstract: A method for managing a product delivery process, according to one embodiment, includes: receiving status information from one or more product containers, wherein the status information includes conditions of each of the one or more product containers; determining preferred ranges for the conditions of each of the one or more product containers based on a product stored in each of the one or more product containers; determining whether the received conditions from the one or more product containers are within the preferred ranges; and sending a command in response to determining that at least one of the received conditions is outside the determined preferred range.