Object memory management system
First Claim
1. A system for implementing a learning process comprising:
- a plurality of sources; and
an operating system processor including instructions for;
receiving input signals from said plurality of sources, said receiving including the learning of the destination, the characteristics, the format and the protocol of each received signal;
recognizing said source of said input signals and the customer of said input signals;
converting said input signals according to object data into a points of interest (POI) set;
creating a customer instruction set recognizable by said recognized customer from said POI set according to object data; and
sending said customer instruction set to destination of said recognized customer;
wherein said input signals from said plurality of sources are used for creating instruction signals recognizable by customers;
wherein said operating system processor is a hardware processor operating under the control of said instructions;
said plurality of sources include individual inputs from textual (OCR) sources and verbal signal sources; and
said input signals of said plurality of sources are received by said operating system processor via local area networks (LANs) or wide area networks (Internet);
wherein said recognizing includes using an object database to detect message characteristics, comparing message characteristics of said input signals to said object data, repeated comparing with object data in said object database until sufficient matching results in deciphering said input signals or object data is recognized not to exist for sufficient matching;
wherein when object data is recognized to not exist, said recognizing further includes adding of object data by successively testing the bounds of message characteristics each time in accordance with service actions within customer requirements by verifying words through a neo-objects external application for new object creation, wherein a new item of object data is learned.
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Accused Products
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.
68 Citations
14 Claims
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1. A system for implementing a learning process comprising:
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a plurality of sources; and an operating system processor including instructions for; receiving input signals from said plurality of sources, said receiving including the learning of the destination, the characteristics, the format and the protocol of each received signal; recognizing said source of said input signals and the customer of said input signals; converting said input signals according to object data into a points of interest (POI) set; creating a customer instruction set recognizable by said recognized customer from said POI set according to object data; and sending said customer instruction set to destination of said recognized customer; wherein said input signals from said plurality of sources are used for creating instruction signals recognizable by customers; wherein said operating system processor is a hardware processor operating under the control of said instructions; said plurality of sources include individual inputs from textual (OCR) sources and verbal signal sources; and said input signals of said plurality of sources are received by said operating system processor via local area networks (LANs) or wide area networks (Internet); wherein said recognizing includes using an object database to detect message characteristics, comparing message characteristics of said input signals to said object data, repeated comparing with object data in said object database until sufficient matching results in deciphering said input signals or object data is recognized not to exist for sufficient matching; wherein when object data is recognized to not exist, said recognizing further includes adding of object data by successively testing the bounds of message characteristics each time in accordance with service actions within customer requirements by verifying words through a neo-objects external application for new object creation, wherein a new item of object data is learned. - View Dependent Claims (2, 3)
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4. A system for implementing a learning process comprising:
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a plurality of sources; and an operating system processor including instructions for; receiving input signals from said plurality of sources, said receiving including the learning of the destination, the characteristics, the format and the protocol of each received signal; recognizing said source of said input signals and the customer of said input signals; converting said input signals according to object data from an object database into a points of interest (POI) set; creating a customer instruction set recognizable by said recognized customer from said POI set according to object data; and sending said customer instruction set to destination of said recognized customer; wherein said input signals from said plurality of sources are used for creating instruction signals recognizable by customers; wherein said operating system processor is a hardware processor operating under the control of said instructions; wherein said points of interest set is used to derive a focal point and create a plurality of customer instructions sets until released; wherein said object database having a relationship structure for use by said operating system processor comprising; object data defines a relationship structure to itself to define how it relates to other object data; and object data relationships defines an association of use; and object data characteristics define attributes; and object data characteristics dictate possible use of customer instructions; and object data characteristics dictate possible use of information for a piece of data within the customer instruction sets; and object data defining file usages that are used in conjunction with input sources and customers. - View Dependent Claims (5, 6, 7, 8, 9, 10, 11, 12)
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13. A system for implementing a learning process in a control system that operates machinery or equipment comprising:
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a plurality of sources including communication devices; and an operating system processor including instructions for; receiving input signals in the form of voice signals or text messages from said plurality of sources, said receiving including the learning of the destination, the characteristics, the format and the protocol of each received signal; recognizing said source of said input signals and the customer of said input signals; converting said input signals according to object data into a points of interest (POI) set; creating a customer instruction set recognizable by said recognized customer from said POI set according to object data; and sending said customer instruction set to destination of said recognized customer; wherein said input signals from said plurality of sources are used for creating instruction signals recognizable by customers to operate said machinery or said equipment; wherein said operating system processor is a hardware processor operating under the control of said instructions; said plurality of sources include software operating on cell phones; and said input signals of said plurality of sources are received by said operating system processor via local area networks (LANs) or wide area networks (Internet); wherein said recognizing includes using said object database to detect message characteristics, comparing message characteristics of said input signals to said object data, repeated comparing with object data in said object database until sufficient matching results in deciphering said input signals or object data is recognized not to exist for sufficient matching; wherein when object data is recognized to not exist, said recognizing further includes adding of object data by successively testing the bounds of message characteristics each time in accordance with service actions within customer requirements by verifying words through a neo-objects external application for new object creation, wherein a new item of object data is learned. - View Dependent Claims (14)
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Specification