Abstract: Location of objects within an identified subspace defined within a predefined master space. The system includes an RF beacon associated with an object, the RF beacon transmitting signals to one or more of RF tags transmitting to an object location system a tag data package including an identification of the signals received by the RF tags from the RF beacon. The system includes a gateway receiving and extracting, from the transmitted tag data package, the identification of signals. The system further includes the location engine accessing an ML model trained by performing a survey of RF signals received from a plurality of RF signal sources during a prior RF master space survey operation and determining a subspace identifier corresponding to a predicted subspace location for the object by comparing the identification of signals included in the received tag data package to a model plurality of signals accessed from the model.

Abstract: In embodiments, an object location system is configured to receive a transmitted tag package from a Radio Frequency (RF) tag associated with an object. The transmitted tag package includes a representation of RF signals received by the RF tag from respective RF signal sources. The object location system is configured to access multiple data models associated with a respective subspace and generated by associating a RF signal sample received by a tag in the associated subspace at a prior time. The object location system is configured to compare the representation of RF signals to each of the plurality of data models. The object location system is configured to select a candidate data model having a highest correlation with the representation of the RF signals from the comparison. The object location system is configured to predict that the object is located in a subspace associated with the candidate data model.

Abstract: Systems and methods are disclosed for tank level monitoring. To perform monitoring of fuel levels of fuel tanks, tank level monitor devices may be affixed to the fuel tanks. The tank level monitors may be used to provide data relating to the fuel tanks to a remote location (such as a mobile device application). A predictive algorithm may also be implemented to more effectively schedule refueling events for various fuel tanks.

Abstract: Systems and methods are disclosed for detecting the location of objects using a network of internet of things (IoT) sensors (“tracking devices”). The tracking devices may be capable of determining location information (for example, through GPS signals) and may communicate this information to a central server. However, in some cases, a tracking device may be unable to communicate with the central server using a long-range communication network. The tracking device may also be unable to ascertain its own location. In such situations, other tracking devices may communicate with the tracking device over short-range signals, determine the location of the tracking device, and relay this information to the central server.

Abstract: Location of objects within an identified subspace defined within a predefined master space. The system includes an RF beacon associated with an object, the RF beacon transmitting signals to one or more of RF tags transmitting to an object location system a tag data package including an identification of the signals received by the RF tags from the RF beacon. The system includes a gateway receiving and extracting, from the transmitted tag data package, the identification of signals. The system further includes the location engine accessing an ML model trained by performing a survey of RF signals received from a plurality of RF signal sources during a prior RF master space survey operation and determining a subspace identifier corresponding to a predicted subspace location for the object by comparing the identification of signals included in the received tag data package to a model plurality of signals accessed from the model.

Abstract: Location of objects associated with radio frequency (RF) tags in a particular subspace or room within a predefined master space. A plurality of multi-channel radio beacons (e.g. Bluetooth Low Energy or BLE) transmit signals into the master space. A survey operation is conducted to detect RF signals, e.g. RSSI values, from the beacons within predefined subspaces within the master space. Data from the survey operation is used to construct one or more machine learning (ML) data models. Each object to be located is provided with a dual mode RF tag that receives beacon signals when placed into a subspace and activates (e.g. by motion or command) to transmit data containing RSSI of beacon signals to an object location system. The system runs the received beacon signals against the ML data models and returns a prediction candidate of a particular subspace corresponding to a likely location of the tag and object.

Abstract: The present disclosure is directed to methods and systems for processing packets over a communications network, including aspects of on demand network MIMO. A first gateway of a plurality of gateways may wirelessly receive a modulated signal from a first node, the modulated signal including a first packet. The first gateway may generate first samples corresponding to the first packet. The first gateway may decode the generated first samples to obtain decoded data. The first gateway may transmit the decoded data to a server. The server and/or the first gateway may determine, based on the decoded data, whether the first packet is successfully decoded at the first gateway. The server may obtain the generated first samples from the first gateway for decoding at the server, responsive to determining that the first packet is unsuccessfully decoded at the first gateway.

Abstract: The present disclosure is directed to methods and systems for providing a distributed radio communications network. Each of a first gateway and a second gateway may separately receive modulated signals comprising at least a portion of data from a first node of a plurality of geographically-dispersed nodes. The modulated signals may be wirelessly transmitted as radio frequency (RF) signals from the first node, the data gathered or generated by the first node at a first location. A server may receive the modulated signals from the first gateway and the second gateway. As configured by software-defined radio (SDR) software, the server may perform processing of the separately received modulated signals to recover the data. The processing may include demodulation of the modulated signals.

Abstract: The present disclosure is directed to methods and systems for providing a distributed radio communications network. Each of a first gateway and a second gateway may separately receive modulated signals comprising at least a portion of data from a first node of a plurality of geographically-dispersed nodes. The modulated signals may be wirelessly transmitted as radio frequency (RF) signals from the first node, the data gathered or generated by the first node at a first location. A server may receive the modulated signals from the first gateway and the second gateway. As configured by software-defined radio (SDR) software, the server may perform processing of the separately received modulated signals to recover the data. The processing may include demodulation of the modulated signals.

Abstract: The present disclosure is directed to methods and systems for providing a distributed radio communications network. Each of a first gateway and a second gateway may separately receive modulated signals comprising at least a portion of data from a first node of a plurality of geographically-dispersed nodes. The modulated signals may be wirelessly transmitted as radio frequency (RF) signals from the first node, the data gathered or generated by the first node at a first location. A server may receive the modulated signals from the first gateway and the second gateway. As configured by software-defined radio (SDR) software, the server may perform processing of the separately received modulated signals to recover the data. The processing may include demodulation of the modulated signals.