IP Library Granted Patent US 12,380,792
Granted Patent B2
US 12,380,792 · App. 18/404,448 · Granted Aug 5, 2025

Real-time worker location tracking system

Inventors: Hussain Al-Rasheed (Dhahran, SA); Rosa Mohammed Rubui (Khobar, SA); Abdullah Shaikh (Dammam, SA)
Assignee: Saudi Arabian Oil Company
G08B21/18
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Quick Facts
Patent No.
US 12,380,792
App. No.
18/404,448
Granted
Aug 5, 2025
Kind
B2
Abstract

The real-time location tracking of workers on a transportation vehicle using a wearable sensor and wireless stations. Embarkment of workers on the transportation vehicle may include capturing an image of an identification document and performing optical character recognition on the document. The embarkment of workers may also include scanning a worker's wearable sensor using a sensor reader and capturing an image of the face of the worker using a camera on the transportation vehicle. The communication between the wearable sensor and wireless stations may be monitored, and the absence of communication over at time period used to indicate a missing worker.

Claims (36)

1. A system for real-time worker location tracking on a transportation vehicle, comprising:

a plurality of wireless stations each located at a different location on the transportation vehicle, the plurality of wireless stations operable to communicate over a low-power wireless network;

a wearable sensor wearable by a worker and operable to communicate over the low-power wireless network, wherein the wearable sensor is configured to periodically communicate with the plurality of wireless stations, the wearable sensor comprising:

a first processor;

a first memory:

a light source; and

a photodetector, wherein the light source and photodetector are configured for a photoplethysmography determination; and

a server located on the transportation vehicle and operable to communicate over the wireless network, wherein the server comprises a second processor and a second memory having executable code stored thereon, the executable code comprising a set of instructions that causes the second processor to perform operations comprising:

monitoring the periodic communication between the wearable sensor and the plurality of wireless stations;

detecting a lack of the periodic communication between the wearable sensor and the plurality of wireless stations within a time period; and

initiating an alert in response to the detection, wherein the alert indicates an absence of the worker from the transportation vehicle.

2. The system of claim 1 , wherein the low-power wireless network uses Bluetooth Low Energy (BLE), Near Field Communication (NFC), radio-frequency identification (RFID), Low-Power Wi-fi, Zigbee, Matter, Z-wave, LoRa, or narrowband Internet of Things (IoT).

3. The system of claim 1 , wherein the transportation vehicle comprises a boat, ship, bus, or train.

4. The system of claim 1 , wherein initiating an alert in response to the detection comprises activating an audible alarm of the transportation vehicle.

5. The system of claim 1 , wherein initiating an alert in response to the detection comprises providing an alert on a display in a control room or bridge of the transportation vehicle.

6. The system of claim 1 , comprising a camera on the transportation vehicle, wherein the camera is orientated toward an embarkment location on the transportation vehicle and is configured to capture a face of the worker during embarkment.

7. The system of claim 1 , comprising a sensor reader configured to read the wearable sensor during embarkment of the worker.

8. The system of claim 1 , comprising a portable computing device comprising a camera, wherein the portable computing device is operable to capture an image of an identification document of the worker during embankment using the camera.

9. A method for tracking the real-time location of a worker on a transportation vehicle, comprising:

monitoring periodic communication between a wearable sensor and a plurality of wireless stations located on the transportation vehicle, wherein the plurality of wireless stations are each located at a different location on the transportation vehicle and are operable to communicate over a low-power wireless network, wherein the wearable sensor is operable to communicate over the low-power wireless network;

determining a lack of the periodic communication between the wearable sensor and the plurality of wireless stations within a time period; and

initiating an alert in response to the determination, wherein the alert indicates an absence of the worker from the transportation vehicle.

10. The method of claim 9 , wherein the low-power wireless network uses Bluetooth Low Energy (BLE), Near Field Communication (NFC), radio-frequency identification (RFID), Low-Power Wi-fi, Zigbee, Matter, Z-wave, LoRa, or narrowband Internet of Things (IoT).

11. The method of claim 9 , wherein the transportation vehicle comprises a boat, ship, bus, or train.

12. The method of claim 9 , wherein initiating an alert in response to the detection comprises activating an audible alarm of the transportation vehicle.

13. The method of claim 9 , wherein initiating an alert in response to the detection comprises providing an alert on a display in a control room or bridge of the transportation vehicle.

14. The method of claim 9 , comprising capturing, via a camera, an image of a face of the worker during embarkment.

15. The method of claim 9 , comprising reading, via a sensor reader, the wearable sensor during embarkment of the worker.

16. The method of claim 9 , comprising capturing, via a camera of a portable electronic device, an image of an identification document of the worker during embarkment.

17. A non-transitory computer-readable storage medium having executable code stored thereon for tracking the real-time location of a worker on a transportation vehicle, the executable code comprising a set of instructions that causes a processor to perform operations comprising:

monitoring periodic communication between a wearable sensor and a plurality of wireless stations located on the transportation vehicle wherein the plurality of wireless stations are each located at a different location on the transportation vehicle and are operable to communicate over a low-power wireless network, wherein the wearable sensor is operable to communicate over the low-power wireless network;

determining a lack of the periodic communication between the wearable sensor and the plurality of wireless stations within a time period; and

initiating an alert in response to the determination, wherein the alert indicates an absence of the worker from the transportation vehicle.

18. The non-transitory computer-readable storage medium of claim 17 , wherein the low-power wireless network uses Bluetooth Low Energy (BLE), Near Field Communication (NFC), radio-frequency identification (RFID), Low-Power Wi-fi, Zigbee, Matter, Z-wave, LoRa, or narrowband Internet of Things (IoT).

19. The non-transitory computer-readable storage medium of claim 17 , wherein initiating an alert in response to the detection comprises activating an audible alarm of the transportation vehicle.

20. The non-transitory computer-readable storage medium of claim 17 , wherein initiating an alert in response to the detection comprises providing an alert on a display in a control room or bridge of the transportation vehicle.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 4, 2024
From: AL-RASHEED, HUSSAIN; RUBUI, ROSA MOHAMMED; SHAIKH, ABDULLAH
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 066022/0857 →
Continuity (1)
Related Publication 20250225854A1 · Jul 10, 2025
References Cited (30)
US 4894662A · Counselman · 1990 [cited by examiner]
US 5587715A · Lewis · 1996 [cited by examiner]
US 5987979A · Bryan · 1999 [cited by examiner]
US 6078290A · McBurney · 2000 [cited by examiner]
US 6125325A · Kohli · 2000 [cited by examiner]
US 6278403B1 · Peng · 2001 [cited by examiner]
US 6389291B1 · Pande · 2002 [cited by examiner]
US 7880767B2 · Chinigo · 2011 [cited by applicant]
US 8514069B2 · Hadsall, Sr. · 2013 [cited by applicant]
US 10127796B2 · Thurlow et al. · 2018 [cited by applicant]
US 20110084825A1 · John · 2011 [cited by applicant]
US 20110140913A1 · Montenero · 2011 [cited by applicant]
US 20110163896A1 · Chinigo · 2011 [cited by examiner]
US 20210174952A1 · Leong et al. · 2021 [cited by applicant]
CN 106557910A · 2017 [cited by applicant]
CN 111812610A · 2020 [cited by applicant]
CN 218276092U · 2023 [cited by applicant]
IN 202111007878 · 2021 [cited by applicant]
KR 100886847B1 · 2009 [cited by applicant]
KR 20130125977A · 2013 [cited by applicant]
KR 20160012535A · 2016 [cited by applicant]
KR 101797231B1 · 2017 [cited by applicant]
KR 102455031B1 · 2022 [cited by applicant]
KR 20230103081A · 2023 [cited by applicant]
KR 20230129139A · 2023 [cited by applicant]
KR 20230129141A · 2023 [cited by applicant]
WO 2019212795A1 · 2019 [cited by applicant]
BeaconTrax; “People Tracking in Oil & Gas Industry” available as of Oct. 9, 2023 at: https://www.beacontrax.com/people-tracking-in-oil-gas-industry/; pp. 1-4. [cited by applicant]
Blueiot; “Accurate Real-Time Location Services for Transportation” available as of Oct. 9, 2023 at: https://www.blueiot.com/rtls-transportation/; pp. 1-5. [cited by applicant]
Honeywell; “Improve Worker Safety, Protect Your Personnel” Honeywell Safety Watch, Honeywell International Inc., 2022; pp. 1-8. [cited by applicant]