Disclosed herein are methods and systems for receiving an encoded data packet, one or more activation commands, and a communication identifier, decoding the received data packet, validating the decoded received data packet, and executing one or more routines associated with the respective one or more activation commands.

An animal tracking system comprising a first LoRa receiver configured as a gateway to receive transmissions on a first set of channels or a second set of channels and forward said transmissions to a first remote server, and a transmitting tag configured to be affixed to an animal. The transmitting tag includes a memory configured to store digital information, a passive RFID receiver configured to detect a close proximity to an RFID transmitter and store detection of the close proximity in comprising in the memory, a processor configured to determine an alarm status according to a frequency of detection of the close proximity, an internal energy source, and a LoRa transmitter configured to transmit signals for a distance greater than 100 meters via energy from the internal energy source.

Exemplary embodiments include a wireless computing network to assess and model a physical characteristic associated with an object or space, the network including a plurality of wireless nodes located in a physical space, each of the plurality of wireless nodes configured to wirelessly communicate with at least one other wireless node in the network in a secure manner, attach to a physical object in the physical space via any adhesive means, utilize data from neighboring wireless nodes to generate or update an artificially intelligent machine learning model regarding a physical characteristic associated with the physical space and a gateway device in communication with each of the plurality of wireless nodes.

An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

A method includes determining, by a processing module of a data logging device, whether an event has occurred that potentially compromises reliability of the data logging device. The method further includes, when the event has occurred, determining, by the processing module, whether the reliability of the data logging device has been compromised. The method further includes, when the reliability of the data logging device has been compromised, generating, by the processing module, a compromised indication signal. The method further includes, when the reliability of the data logging device has not been compromised, generating, by the processing module, a data integrity indication signal.

A contactless card reader comprises a contactless card reader front-end coupled to a processor. A communications module is coupled to the processor and a set of sensors is coupled to the processor. The set of sensors determines parameters related to the location, orientation and motion of the card reader. The processor receives the parameters from the set of sensors and utilizes the parameters and scenario configuration data to evaluate a rule. The result of the evaluation of the rule results in a limitation on the operation of the card reader. The communications module is configured to intermittently receive the scenario configuration data from external sources.

An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Exemplary embodiments include a wireless computing network to assess and model a physical characteristic associated with an object or space, the network including a plurality of wireless nodes located in a physical space, each of the plurality of wireless nodes configured to wirelessly communicate with at least one other wireless node in the network in a secure manner, attach to a physical object in the physical space via any adhesive means, utilize data from neighboring wireless nodes to generate or update an artificially intelligent machine learning model regarding a physical characteristic associated with the physical space and a gateway device in communication with each of the plurality of wireless nodes.

The present invention relates to the requirements for specimen tracking and maintenance in a cabinet x-ray system incorporating an x-ray tube, an x-ray detector, and an optical camera for the production of blended images. Excised tissue specimens are amorphous and quickly loose anatomical registration at the margins. The current device provides for breast specimens for a variety of sizes to be maintained accurately while successive images are acquired. Additionally, the base of the unit contains an RFID tag which ensures proper identification of the sample. In particular, the invention relates to a system and method with corresponding apparatus for acquiring multiple images in succession while maintaining specimen geometry and ensuring the image information is correctly identified with the corresponding patient.

Currently it is believed that there is not a system or method incorporating specimen suspension to maintain the integrity of the excised tissue and RFID tracking for tissue specimen/sample imaging in a cabinet x-ray system.

A method includes processing, by a processing module of a data logging device, a plurality of log commands. The processing of a log command of the plurality of log commands includes obtaining a measure of an environmental condition. The processing further includes updating a status of the environmental condition based on the measure of an environmental condition. The method further includes determining, by the processing module, the updated status of the environmental condition after the plurality of log commands have been processed. When the updated status of the environmental condition is favorable, the method further includes generating, by the processing module, a favorable environmental condition signal.