Object Memory Management System

• US 20110225204A1
• Filed: 03/15/2011
• Published: 09/15/2011
• Est. Priority Date: 03/15/2010
• Status: Active Grant

• Current Assignee: Michael V. Liguori
• Original Assignee: Michael V. Liguori
• Inventors: Liguori, Michael V.
• Granted Patent: US 9,342,500 B2
• Time in Patent Office: Days
• US Class Current: 707/792
• CPC Class Codes: G05B 2219/2613 Household appliance in general
• CPC Class Codes: G06F 3/002 Specific input/output arrangements not covered by G06F3/01 - G06F3/16 other optical apparatus G02B27/00
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding

Abstract

An object memory management system (OMMS) provides a communications link between a plurality of various types of inputs and a plurality of customers who would normally receive one or more of the various types of inputs. Included among the input signal devices are GPS, infrared (IR), photo cell, range finder, and other type sensors, and signal sources such as data bit stream, pulsed digital signals, verbal and visual signals. Included among the customers are artificial intelligence (AI) and software service providers. The system recognizes a received incoming signal, converts it into a signal the designated customer can recognize and sends it to the designated customer. Signals are processed on a first-in-first-out (FIFO) basis unless a priority designation is received. Complex incoming signals (verbal and visual) require pattern recognition wherein an object database is utilized to understand such incoming signals.

Claims

1. A system for converting input signals from a plurality of hardware sources and software sources into output signals to a plurality of hardware customers and software customers, comprising:

an input recognition and learning diagnostics module connected to said plurality of hardware signal sources and software signal sources;

an operating system processor containing signal conversion instructions, said processor being connected to said recognition and learning diagnostics module;

an object database connected to said recognition and diagnostics module; and

a customer instruction requirements database connected to said operation system process;

wherein outputs from said operating system processor are connected to said hardware customers and said software customers.

2. The system of claim 1, wherein said plural hardware signal sources include individual inputs from photocell signal sources, GPS signal sources, and IR signal sources, and wherein said plural software signal sources include individual inputs from textual (OCR) sources, verbal signal sources and visual (photo) signal sources.

3. The system of claim 2, wherein said hardware customers include individual outputs to artificial intelligence controllers which control machines or processes, and said software customers are software service inputs to local area networks (LAN) and wide area networks (Internet).

4. The system of claim 3, wherein said input recognition and understanding diagnostics module includes a recognition device interface connected to receive inputs from said sources, and

wherein said operating system processor signal conversion instructions are implemented in software which includes,

a recognition service module connect to receive inputs from said recognition device interface, said recognition service being a part of and controlled by an input manager service,

an identify action manager module connected to receive inputs from said input manager;

an object data manager module operating with said identify action manager module,

a new object creation module operating with said identify action manager module,

a test object bounds module operation under said new object creation module; and

an action service program interface receiving said identity action manager outputs,

wherein said service actions are passed onto said customers.

5. The system of claim 4, wherein said input manager receives hardware signals from hardware sources though a recognition device,

wherein said hardware signals are received by an interaction manager module including an application program interface,

also including a test object bounds module between said object data manager module and said new object creation module, and

also including an object data filer module connected between said object data manager and said object database to access said object database.

6. A process of converting hardware source signals into signals recognizable by an artificial intelligence customer, comprising:

assembling a database of customer receiving requirements, said requirements associating specific individual signal characteristics, including as needed information, alert signals or alert words, for each customer being serviced;

receiving input signals from a plurality of hardware signal sources;

determining each customer for which each received signal is destined;

interrogating said customer requirement database for each customer'"'"'s requirements;

converting each signal according to specific customer requirements; and

sending said converted signals to each respective destination customer.

7. The process of claim 6, wherein said incoming signals are converted on a first-in-first-out basis.

8. The process of claim 6, wherein said artificial intelligence customers are each assigned a priority value, said value to also be stored in said customer requirement database.

9. Process of claim 8, wherein when a received input signal is destined for more than one customer, said converting is conducted in order of said customer priority.

16. The process of claim 9, also including converting software source signals into signals recognizable by a local area network or a wide area network software service, comprising:

receiving input signals-messages from a plurality of software sources;

recognizing said source of said signal-message and the destination service of said signal-message;

converting said signal-message into a format and protocol recognizable by the destination service of said signal; and

sending said converted signal-message to said designated service.

17. The process of claim 16, wherein said software source signal processing also including assembling customer instruction requirements for format and protocol, and interrogating said customer requirements before performing said converting, and converting said signal-message consistent with said customer requirements.

18. The process of claim 16, wherein said software source signal recognizing includes understanding the content of said received signal-message and determining the destination of said received signal-message.

19. The process of claim 18, wherein said software source signal recognizing and understanding includes creating a token for each input software source signal and processing said tokens into points of interested to be analyzed known object information.

20. The process of claim 19, wherein said software source signal learning the content and destination includes building an object database of possible message characteristics, comparing said signal-message to said object database, repeated comparing with said object database by adding objects, and testing the bounds each time additional objects are added.

10. A process of converting software source signals into signals recognizable by a local area network or a wide area network software service, comprising:

receiving input signals-messages from a plurality of software sources;

recognizing said source of said signal-message and the destination service of said signal-message;

converting said signal-message into a format and protocol recognizable by the destination service of said signal; and

sending said converted signal-message to said designated service.

11. The process of claim 10, also including assembling customer instruction requirements for format and protocol, and interrogating said customer requirements before performing said converting, and converting said signal-message consistent with said customer requirements.

12. The process of claim 11, wherein said recognizing includes understanding the content of said received signal-message and determining the destination of said received signal-message.

13. The process of claim 12, wherein said learning the content and destination includes building an object database of possible message characteristics, comparing said signal-message to said object database, repeated comparing with said object database by adding objects, and testing the bounds each time additional objects are added.

14. The process of claim 13, wherein said comparing includes recognizing patterns in textual, verbal and visual content in said signal-message and addressing object data associated therewith.

15. The process of claim 14 wherein said recognizing patterns includes parsing said textual, verbal and visual content parsing said signal-message into natural and inflected language.