Methods, Software, and Systems for Providing Policy-Based Access

• US 20180114425A1
• Filed: 12/19/2017
• Published: 04/26/2018
• Est. Priority Date: 08/29/2014
• Status: Abandoned Application

• Current Assignee: Twin Harbor Labs, LLC (Bradley David Liddle)
• Original Assignee: Twin Harbor Labs, LLC (Bradley David Liddle)
• Inventors: Logan, James D, Malagodi, Garrett, Baker, JR., Richard A, Lentini, David, Pascarella, Mark
• Application Number:
  US15/847,708
• Publication Number:
  US 20180114425A1
• Time in Patent Office: Days
• CPC Class Codes: G07C 2209/08 With time considerations, e.g. temporary activation, valid time window or time limitations
• CPC Class Codes: G07C 9/00571 operated by interacting with a central unit
• CPC Class Codes: G07C 9/22 in combination with an identity check of the pass holder
• CPC Class Codes: G07C 9/27 with central registration
• CPC Class Codes: G07C 9/28 the pass enabling tracking or indicating presence
• CPC Class Codes: G08B 21/0446 worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait

Abstract

Methods, software, apparatus, and systems for policy-based access control are provided. In one embodiment, a method for providing policy-based access to a policy-controlled resource for a user, comprising: detecting an electronically encoded signal from a computer-controlled electronic access control service at a user-controlled computer-controlled electronic communications device proximate to the user; receiving an electronically encoded compliance query from the computer-controlled electronic access control service at the computer-controlled electronic communications device; determining an electronically encoded response to the electronically encoded compliance query using an electronically encoded, computer-controlled process on the computer-controlled computation device; and returning the electronically encoded response to the computer-controlled electronic access control service using the computer-controlled computation device.

Claims

1. A worker tracking device comprising:

a device identifier, the device identifier providing a unique identity for the worker tracking device;

a power source;

a data processor, integrated into the worker tracking device, for transmitting the device identifier over a communications interface, the data processor receiving power from the power source;

a data storage, connected to the data processor, containing encoded information, the encoded information including the device identifier;

an accelerometer connected to the data processor, wherein the data processor interprets the data from the accelerometer to determine the activity of a worker;

the communications interface, connected to the data processor, for receiving and sending signals, the signals encoded with the encoded information and with information regarding the activity of a worker; and

the signals exchanged with a special purpose computer configured to monitor the activity of a worker within a controlled area.

2. The worker tracking device of claim 1 wherein the special purpose computer is a smart phone.

3. The worker tracking device of claim 1 wherein the special purpose computer is a remotely located computer that functions as an employee time keeping system.

4. The worker tracking device of claim 1 wherein the activity of a worker further comprising proximity to other workers.

5. The worker tracking device of claim 1 wherein the activity of a worker further comprises idle time.

6. The worker tracking device of claim 1 further comprising a location determination means.

7. The worker tracking device of claim 6 wherein the location determination means determines a location,

6-1. The worker tracking device of claim 7 wherein data includes whether the safety equipment is worn, and a time is stored in the memory at periodic intervals.

9. The worker tracking device of claim 8 wherein the signals include the location, type of activity performed, and the time.

10. The worker tracking device of claim 9 wherein the exchange of signals with the special purpose computer occurs at a later time.

11. A self-identifying device, the self-identifying device comprising:

a device identifier, the device identifier providing a unique identity for the device;

a power source;

a data processor for transmitting the device identifier over a communications interface, the data processor receiving power from the power source;

a data storage containing encoded information, the encoded information including the device identifier, the data storage connected to the data processor;

an accelerometer connected to the data processor, wherein the data processor compares data from the accelerometer to known accelerometer data patterns to determine if the safety equipment device is being properly worn;

the communications interface, connected to the data processor, for receiving and sending signals, the signals encoded with the encoded information and with information regarding a presence of the self-identifying device,

the signals exchanged with a special purpose computer configured to monitor the presence of the self-identifying device within a policy controlled area; and

an attachment mechanism for mechanically coupling the self-identifying device to safety equipment.

12. The self-identifying device of claim 11 wherein the communications interface utilizes a Bluetooth protocol.

13. A method for monitoring the activity of a worker, the method comprising:

searching for radio frequency signals within a policy controlled area;

connecting with a device having a digital identity found during the search using radio frequency signals, the device having a processor, memory, and a communications interface;

interrogating the device for the digital identity and a description of the device'"'"'s functionality;

if the device is associated with safety equipment, inquiring of the device, using the radio frequency signals, for its location and for patterns, from an accelerometer;

interpreting the patterns from the accelerometer and determining an activity of the worker based on a comparison with known accelerometer patterns; and

reporting the activity to a user.

14. The method of claim 13 wherein the radio frequency signals relate to cellular phone signals.

15. The method of claim 13 wherein the radio frequency signals relate to a Wi-FI protocol.

16. The method of claim 13 wherein the radio frequency signals relate to a Bluetooth protocol.

17. The method of claim 13 wherein the patterns from the accelerometer relate to walking.

18. The method of claim 13 wherein the patterns from the accelerometer relate to climbing.

19. The method of claim 13 wherein the patterns from the accelerometer relate to jack-hammering.

20. The method of claim 13 wherein the patterns from the accelerometer relate to shovelling.