US-12627739-B2 - Adaptive tower monitoring and authentication control

Abstract

System, method, and non-transitory machine-readable media to facilitate adaptive monitoring and authentication control for a premises on which a raised structure is located are disclosed. First sensor-based data received from first sensors may be processed, consequent to the first sensors detecting phenomena on or around a raised structure. A particularized specification of recognized patterns mapped to a first location may be adaptively developed, the particularized specification of the recognized patterns including recognized patterns of sensor input from the first sensors. Second sensor-based data that is based on the first sensors may be processed. A mismatch of the second sensor-based data with respect to the particularized specification of the recognized patterns mapped to the first location may be detected. Activation adjustments in operation of one or both of the first sensors and second sensors may be selectively caused, and subsequent sensor-based data may be collected based on the activation adjustment.

Inventors

• Warren Bloss

Assignees

• Boost SubscriberCo LLC

Dates

Publication Date

20260512

Application Date

20240625

Claims (18)

1. 1 . A system comprising: one or more processing devices; and memory communicatively coupled with and readable by the one or more processing devices and having stored therein machine-readable instructions which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations comprising: processing first sensor-based data received from a first set of one or more sensors consequent to the first set of one or more sensors detecting phenomena on or around a raised structure, the first sensor-based data comprising sensor data corresponding to the detected phenomena; developing a particularized specification of one or more patterns of recognized activity on or around the raised structure over time based at least in part on recognition of a pattern from the sensor data corresponding to an individual, an object, and/or a location, the particularized specification of the one or more patterns of recognized activity corresponding to one or more sensor data baselines recognized; processing second sensor-based data that is based at least in part on the first set of one or more sensors, consequent to the first set of one or more sensors detecting additional phenomena corresponding to a second individual and/or a second object on or around the raised structure, the second sensor-based data comprising additional data corresponding to the detected additional phenomena; detecting a mismatch of the second sensor-based data with respect to the particularized specification of the one or more patterns of recognized activity; and consequent to the detection of the mismatch, selectively causing activation adjustments in cooperative operations of the first set of one or more sensors and a second set of one or more sensors to cooperatively detect the second individual and/or the second object with different sensor types, and collecting subsequent sensor-based data to detect the second individual and/or the second object based at least in part on the activation adjustments and the cooperative operations of the first set of one or more sensors and the second set of one or more sensors; wherein the first set of one or more sensors are of a first sensor type, the second set of one or more sensors are of a second sensor type that is different from the first sensor type, and each of the first set and the second set correspond to one of a vibration sensor, a sound sensor, an infrared sensor, or a heat sensor.
2. 2 . The system as recited in claim 1 , wherein the developing the particularized specification of the one or more patterns of recognized activity comprises detecting a plurality of environmental conditions and learning reference sensor data corresponding to the one or more sensor data baselines for different environmental conditions of the plurality of environmental conditions.
3. 3 . The system as recited in claim 1 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more vibration baselines mapped to the location.
4. 4 . The system as recited in claim 1 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more sound baselines mapped to the location.
5. 5 . The system as recited in claim 1 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more infrared baselines mapped to the location.
6. 6 . The system as recited in claim 1 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more heat baselines mapped to the location.
7. 7 . The system as recited in claim 1 , wherein: the selectively causing the activation adjustments in the cooperative operations is based at least in part on determining at least one second sensor adjustment for the second set of one or more sensors based at least in part on at least one first sensor adjustment for the first set of one or more sensors; and the activation adjustments comprise the at least one first sensor adjustment and the at least one second sensor adjustment.
8. 8 . One or more non-transitory, machine-readable media having machine-readable instructions thereon which, when executed by one or more processing devices, cause the one or more processing devices to perform operations comprising: processing first sensor-based data received from a first set of one or more sensors consequent to the first set of one or more sensors detecting phenomena on or around a raised structure, the first sensor-based data comprising sensor data corresponding to the detected phenomena; developing a particularized specification of one or more patterns of recognized activity on or around the raised structure over time based at least in part on recognition of a pattern from the sensor data corresponding to an individual, an object, and/or a location, the particularized specification of the one or more patterns of recognized activity corresponding to one or more sensor data baselines recognized; processing second sensor-based data that is based at least in part on the first set of one or more sensors, consequent to the first set of one or more sensors detecting additional phenomena corresponding to a second individual and/or a second object on or around the raised structure, the second sensor-based data comprising additional data corresponding to the detected additional phenomena; detecting a mismatch of the second sensor-based data with respect to the particularized specification of the one or more patterns of recognized activity; and consequent to the detection of the mismatch, selectively causing activation adjustments in cooperative operations of the first set of one or more sensors and a second set of one or more sensors to cooperatively detect the second individual and/or the second object with different sensor types, and collecting subsequent sensor-based data to detect the second individual and/or the second object based at least in part on the activation adjustments and the cooperative operations of the first set of one or more sensors and the second set of one or more sensors; wherein the first set of one or more sensors are of a first sensor type, the second set of one or more sensors are of a second sensor type that is different from the first sensor type, and each of the first set and the second set correspond to one of a vibration sensor, a sound sensor, an infrared sensor, or a heat sensor.
9. 9 . The one or more non-transitory, machine-readable media as recited in claim 8 , wherein the developing the particularized specification of the one or more patterns of recognized activity comprises detecting a plurality of environmental conditions and learning reference sensor data corresponding to the one or more sensor data baselines for different environmental conditions of the plurality of environmental conditions.
10. 10 . The one or more non-transitory, machine-readable media as recited in claim 8 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more vibration baselines mapped to the location.
11. 11 . The one or more non-transitory, machine-readable media as recited in claim 8 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more sound baselines mapped to the location.
12. 12 . The one or more non-transitory, machine-readable media as recited in claim 8 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more infrared baselines mapped to the location.
13. 13 . The one or more non-transitory, machine-readable media as recited in claim 8 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more heat baselines mapped to the location.
14. 14 . A method comprising: processing first sensor-based data received from a first set of one or more sensors comprising one or more sensors, consequent to the first set of one or more sensors detecting phenomena on or around a raised structure, the first sensor-based data comprising sensor data corresponding to the detected phenomena; developing a particularized specification of one or more patterns of recognized activity on or around the raised structure over time based at least in part on recognition of a pattern from the sensor data corresponding to an individual, an object, and/or a location, the particularized specification of the one or more patterns of recognized activity corresponding to one or more sensor data baselines recognized; processing second sensor-based data that is based at least in part on the first set of one or more sensors, consequent to the first set of one or more sensors detecting additional phenomena corresponding to a second individual and/or a second object on or around the raised structure, the second sensor-based data comprising additional data corresponding to the detected additional phenomena; detecting a mismatch of the second sensor-based data with respect to the particularized specification of the one or more patterns of recognized activity; and consequent to the detection of the mismatch, selectively causing activation adjustments in cooperative operations of the first set of one or more sensors and a second set of one or more sensors to cooperatively detect the second individual and/or the second object with different sensor types, and collecting subsequent sensor-based data to detect the second individual and/or the second object based at least in part on the activation adjustments and the cooperative operations of the first set of one or more sensors and the second set of one or more sensors; wherein the first set of one or more sensors are of a first sensor type, the second set of one or more sensors are of a second sensor type that is different from the first sensor type, and each of the first set and the second set correspond to one of a vibration sensor, a sound sensor, an infrared sensor, or a heat sensor.
15. 15 . The method as recited in claim 14 , wherein the developing the particularized specification of the one or more patterns of recognized activity comprises detecting a plurality of environmental conditions and learning reference sensor data corresponding to the one or more sensor data baselines for different environmental conditions of the plurality of environmental conditions.
16. 16 . The method as recited in claim 14 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more vibration baselines mapped to the location.
17. 17 . The method as recited in claim 14 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more sound baselines mapped to the location.
18. 18 . The method as recited in claim 14 , wherein the pattern from the sensor data corresponds to the location, and the one or more sensor data baselines comprise one or more infrared baselines mapped to the location.

Description

CROSS REFERENCE TO RELATED APPLICATION This application is a continuation of U.S. Non-Provisional patent application Ser. No. 17/064,799, filed on Oct. 7, 2020, which is incorporated by reference for all purposes. BACKGROUND This disclosure generally relates to Internet of Things (IoT), and more particularly to facilitating adaptive tower monitoring and authentication control. The development of IoT devices and associated applications and services may be a complex proposition. Fully realizing the potential for IoT devices in various applications may present a number of challenges and problems involving field devices, edge devices, network operations/management software, security, device management, and more. There is a need for systems, devices, and methods that address the challenges and problems encumbering development and deployment of IoT devices and that provide for more particularized and useful features. This and other needs are addressed by the present disclosure. BRIEF SUMMARY Certain embodiments of the present disclosure relate generally to IoT, and more particularly to facilitating tower monitoring and authentication control. In one aspect, a system to facilitate adaptive monitoring and authentication control for premises on which a raised structure is located is disclosed. The system may include one or more processing devices and memory communicatively coupled with and readable by the one or more processing devices and having stored therein machine-readable instructions which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations. The operations may include one or a combination of the following. First sensor-based data received from a first set of one or more sensors may be processed, consequent to the first set of one or more sensors detecting phenomena on or around a raised structure, the first sensor-based data corresponding to the detected phenomena. A particularized specification of one or more recognized patterns mapped to a first location may be adaptively developed based at least in part on processing the first sensor-based data, the particularized specification of the one or more recognized patterns including one or more recognized patterns of sensor input from the first set of one or more sensors. Second sensor-based data that is based at least in part on the first set of one or more sensors may be processed, consequent to the first set of one or more sensors detecting additional phenomena on or around the raised structure, the second sensor-based data corresponding to the detected additional phenomena. A mismatch of the second sensor-based data with respect to the particularized specification of the one or more recognized patterns mapped to the first location may be detected. Consequent to the detection of the mismatch, one or more activation adjustments in operation of one or both of the first set of one or more sensors and a second set of one or more sensors communicatively coupled to the adaptive control device may be selectively caused, and subsequent sensor-based data may be collected based at least in part on the one or more activation adjustments. In another aspect, one or more non-transitory, machine-readable media are disclosed, the one or more non-transitory, machine-readable media having machine-readable instructions thereon which, when executed by one or more processing devices, cause the one or more processing devices to perform operations. The operations may include one or a combination of the following. First sensor-based data received from a first set of one or more sensors may be processed, consequent to the first set of one or more sensors detecting phenomena on or around a raised structure, the first sensor-based data corresponding to the detected phenomena. A particularized specification of one or more recognized patterns mapped to a first location may be adaptively developed based at least in part on processing the first sensor-based data, the particularized specification of the one or more recognized patterns including one or more recognized patterns of sensor input from the first set of one or more sensors. Second sensor-based data that is based at least in part on the first set of one or more sensors may be processed, consequent to the first set of one or more sensors detecting additional phenomena on or around the raised structure, the second sensor-based data corresponding to the detected additional phenomena. A mismatch of the second sensor-based data with respect to the particularized specification of the one or more recognized patterns mapped to the first location may be detected. Consequent to the detection of the mismatch, one or more activation adjustments in operation of one or both of the first set of one or more sensors and a second set of one or more sensors communicatively coupled to the adaptive control device may be selectively caused, and subsequent sensor-based data may be collected