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Patent Analysis of

A SYSTEM AND METHOD OF SENSOR PROFILING AND IDENTITY MODELING OF RESOURCES IN IOT SYSTEMS

Updated Time 15 March 2019

Patent Registration Data

Publication Number

WO2017216811A1

Application Number

PCT/IN2017/050240

Application Date

16 June 2017

Publication Date

21 December 2017

Current Assignee

ATTINAD SOTFWARE PVT. LTD.

Original Assignee (Applicant)

ATTINAD SOTFWARE PVT. LTD.

International Classification

G06F21/30,G06Q30/02,H04L29/08

Cooperative Classification

G06F21/30,G06F21/316,G06F21/44,G06Q10/06,G06Q10/0631

Inventor

SENGUPTA, TAMOJIT,RAVEENDRAN, KARTHIK,BADHARUDEEN, SHAFEER,R NAIR, ANOOP,SATHASIVAN, SABARISH

Patent Images

This patent contains figures and images illustrating the invention and its embodiment.

A SYSTEM AND METHOD OF SENSOR PROFILING AND IDENTITY MODELING OF RESOURCES IN IOT SYSTEMS A SYSTEM AND METHOD OF SENSOR PROFILING AND IDENTITY MODELING OF RESOURCES IN IOT SYSTEMS
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Abstract

The invention is a system and method of sensor profiling and identity modeling of IoT resources in IoT systems that are used in different industry verticals. The system is configured to carry out sensor profiling for the IoT Resources and such sensor profiling is deployed in the IoT systems associated with various industry verticals to identify the IoT Resources and their state. Further, the system is configured to associate and map each IoT Resource with a unique identity and such mapping helps in identifying a unique resource in an IoT system associated with the particular industry vertical. Such sensor profiling and identity modeling of IoT Resources can uniquely identify a Resource in an IoT system associated with a particular industry vertical and monitor the behavior of the IoT Resource.

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Claims

1.A system for sensor profiling and identity modelling in an IoT system, said system comprising: atleast one IoT Resource (130) in communication with a server; a platform configured within said server wherein said platform allows a user to create atleast one sensor profile of said IoT Resource; a discovery module in communication with said server configured to discover said IoT Resource and track behavior of said resource; and a mapping module in communication with said server configured to identify the IoT system to which said IoT Resource belongs and identify deviation from normal behavior for said IoT Resource based on matching of unique identity of said IoT resource and said comparison of said behavior against industry vertical parameters.

2.The system of claim 1 wherein said IoT resource is a sensor or/and a IoT device in said IoT system.

3.The system of claim 1 wherein said industry vertical is agricultural automation, smart home automation, telemetric & medical application, vehicle automation, retail automation, industrial automation and the like.

4.The system of claim 1 wherein said IoT Resource profile is configured with at least one parameter selected from a group consisting of parental category attribute, behavior attribute and ageing attribute.

5.The system of claim 1 wherein said server is further configured to identify signal data received from said IoT Resource and further configured to classify said IoT Resource as normal or critical based on said signal data

6.A method for sensor profiling and identity modelling in an IOT system, said method comprising: authenticating a user to log into a server to configure atleast one IoT Resource profile of at least one IoT Resource wherein said IoT Resource is associated with atleast one industry vertical; initiating a discovery process for discovering atleast one IoT Resource in an IoT system based on said configured IoT Resource profile; mapping the behavior of said IoT Resource with unique identity of said IoT resource; and identifying deviation in behavior of said IoT Resource based on pre defined industry vertical parameters.

7.The method of claim 6 wherein said IoT Resource is a sensor and/or an IoT device in said IoT system.

8.The method of claim 6 wherein said unique identity is any unique data associated with each said IoT resource.

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Claim Tree

  • 1
    1.A system for sensor profiling and identity modelling in an IoT system, said system comprising:
    • atleast one IoT Resource (130) in communication with a server
    • a platform configured within said server wherein said platform allows a user to create atleast one sensor profile of said IoT Resource
    • a discovery module in communication with said server configured to discover said IoT Resource and track behavior of said resource
    • and a mapping module in communication with said server configured to identify the IoT system to which said IoT Resource belongs and identify deviation from normal behavior for said IoT Resource based on matching of unique identity of said IoT resource and said comparison of said behavior against industry vertical parameters.
    • 2.The system of claim 1 wherein
      • said IoT resource is a sensor or/and a IoT device in said IoT system.
    • 3.The system of claim 1 wherein
      • said industry vertical is agricultural automation, smart home automation, telemetric & medical application, vehicle automation, retail automation, industrial automation and the like.
    • 4.The system of claim 1 wherein
      • said IoT Resource profile is configured with at least one parameter selected from a group consisting of
    • 5.The system of claim 1 wherein
      • said server is further configured to identify signal data received from said IoT Resource and further configured to classify said IoT Resource as normal or critical based on said signal data
  • 6
    6.A method for sensor profiling and identity modelling in an IOT system, said method comprising:
    • authenticating a user to log into a server to configure atleast one IoT Resource profile of at least one IoT Resource wherein said IoT Resource is associated with atleast one industry vertical
    • initiating a discovery process for discovering atleast one IoT Resource in an IoT system based on said configured IoT Resource profile
    • mapping the behavior of said IoT Resource with unique identity of said IoT resource
    • and identifying deviation in behavior of said IoT Resource based on pre defined industry vertical parameters.
    • 7.The method of claim 6 wherein
      • said IoT Resource is a sensor and/or an IoT device in said IoT system.
    • 8.The method of claim 6 wherein
      • said unique identity is any unique data associated with each said IoT resource.
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Description

The invention generally relates to Internet of

things (IoT) and more specifically to a system and

method of sensor profiling and identity modeling of IoT

resources such as sensors or IoT devices in IoT systems

used in different industry verticals. Such sensor

profiling and identity modeling of IoT resources can

uniquely identify an IoT system of a particular industry

vertical associated with the IoT resource.

The Internet of Things (IoT) as a system

is used in different applications such as health care,

automation process control, weather monitoring,

manufacturing, smart home automation etc. Each such

system incorporates various components such as sensors,

digital machines, controllers etc. Such components are

configured to sense, capture, generate and collect

information related to the activities involved in each

application and further the controllers may transfer

these information to a remote system via the internet.

The remote system is configured to collect such

information for monitoring and controlling the

activities. For example, consider an application of an

IoT system such as smart home automation that involves

multiple activities such as automation of appliances,

energy management of appliances etc. In home automation,

many home appliances are used and each home appliance is

configured with a sensor to sense each appliance’s

activities such as device ON or OFF, power consumption

etc. A controller then forwards the sensed data to

remote systems such hand held or mobile devices or

computer systems. A user configures such remote system

to monitor and control the home appliances. Hence, there

is a continuous interaction between the sensors or

devices and the remote systems.

As more and more objects are connected to the

remote system, more data is captured and it becomes

difficult for the user to manage the remote system.

Specifically, currently known technologies are not

capable of identifying which particular sensor or device

is causing problems such as delay, idle state etc. Even

though there are different types of IoT platforms

available in the market, their focus is on the data from

the object and not on the object itself. In all such

platforms, each object is an unidentified node that

blindly transmits data and there is no existing

mechanism to capture the evolution and variation of data

from a unique sensor and the factors leading to it. Such

platform also does not give any importance to health of

the sensor and all the health reports are based on the

consolidated data ignoring small variations that can

have major impact in future. For example, consider

sensors and IOT devices used in home automation. If one

of the sensors stops working or gets into idle state the

entire system may either provide incorrect data or may

entirely fail. In order to rectify the system each

sensor may have to be individually looked into to

identify the problem as the sensor causing the problem

cannot be identified by the system. Therefore, unique

identification of each sensor or device in large IoT

systems becomes a desirable feature.

Hence, to overcome above-mentioned problems,

there is a need for a system and method to uniquely

identify an object or resource in large-scale IoT

systems that are used in different industry verticals by

associating each object in the IoT system with a unique

identity and monitoring the behavior of the object.

The object of the invention is to provide a

system and method of sensor profiling and identity

modeling of IoT resources in IoT systems that are used

in different industry verticals

The invention provides a system and method for

sensor profiling and identity modelling in an IoT

system, the system comprising of atleast one IoT

Resource in communication with a server, a platform

configured within the server wherein the platform allows

a user to create atleast one sensor profile of the IoT

Resource mentioned.

Further, a discovery module in communication

with the server is configured to discover the IoT

Resources around and track behavior of each IoT resource

and a mapping module in communication with the server is

further configured to identify the IoT system to which

each IoT Resource belongs to and identify deviation from

normal behavior for the IoT Resource based on matching

of unique identity of the IoT resource and the

comparison of the behavior against industry vertical parameters.

This invention is illustrated in the

accompanying drawings, throughout which, like reference

letters indicate corresponding parts in the various

figures.

The embodiments herein will be better

understood from the following description with reference

to the drawings, in which:

Fig. 1 depicts/illustrates an IoT network system

implementing sensor profiling and identity modeling in

IoT resources used in different industry verticals, in

accordance with an embodiment of the invention.

Fig. 2 depicts/illustrates details of a

management server and its components, in accordance with

an embodiment of the invention.

Fig. 3 shows a flowchart depicting / illustrating

a method of sensor profiling and identity modeling of

resources in IoT systems.

The embodiments herein, the various features

and advantageous details thereof are explained more

fully with reference to the non-limiting embodiments

that are illustrated in the accompanying drawings and

/or detailed in the following description. Descriptions

of well-known components and processing techniques are

omitted to not unnecessarily obscure the embodiments

herein. The examples used herein are intended merely to

facilitate an understanding of ways in which the

embodiments herein may be practiced and to further

enable those of skilled in the art to practice the

embodiments herein. Accordingly, the examples should not

be construed as limiting the scope of the embodiments herein.

The embodiments herein below provide a

system and method of sensor profiling and identity

modeling of IoT resources in IoT systems that are used

in different industry verticals. For the purposes of

this draft the term “IoT Resource” shall be used for

explanation and shall mean any object or resource such

as sensors, devices etc. that are used in IoT systems

for data collection and transmission. The system is

configured to carry out sensor profiling for the IoT

Resources and such sensor profiling is deployed in the

IoT systems associated with various industry verticals

to identify the IoT Resources and their state. Further,

the system is configured to associate and map each IoT

Resource with a unique identity and such mapping helps

in identifying a unique resource in an IoT system

associated with the particular industry vertical. Such

sensor profiling and identity modeling of IoT Resources

can uniquely identify a Resource in an IoT system

associated with a particular industry vertical and

monitor the behavior of the IoT Resource.

The method of sensor profiling and identity

modeling of IoT Resources in IoT systems that are used

in different industry verticals involves authenticating

a user to log onto a server to profile one or more IoT

Resources deployed in one or more IoT systems associated

with industry verticals. The method also involves

initiating a discovery process for discovering the IoT

Resources based on authentication and initiating the

profiling for such IoT Resources. Further, the method

involves associating and mapping of one or more IoT

Resources with a unique identity so that such IoT

Resources can be identified and their behavior can be tracked.

Referring now to the drawings, where similar

reference characters denote corresponding features

consistently throughout the figures, there are shown

preferred embodiments.

Fig. 1 depicts/illustrates an IoT network system

100 implementing sensor profiling and identity

modeling in IoT Resources 130 that are used in

different industry verticals 140, in accordance

with an embodiment of the invention. The IoT network

system 100 includes a server 120 coupled

to a database or data repository 150, and one or

more IoT Resources 130 that are used in IoT

systems within different industry verticals 140

such as agricultural automation, smart home automation,

telemetric and medical application, vehicle automation,

retail automation, industrial automation etc. The server

120 and the IoT Resources 130 communicate

with each other through the internet 110 using

any internet protocol. The server 120 includes an

IoT sensor profiling and identity platform configured to

carry out sensor profiling for each IoT Resource

130 and such sensor profiling uniquely profiles

each IoT Resource 130 used in IoT systems associated

with particular industry verticals 140. As know

in the art, the actuators do not provide any feedback

signal and these actuators are adapted to perform a

certain task. Hence, in the present invention, the

sensor profiling is done in sensors and/or IoT devices

and not in actuators. The sensor profiling data of each

IoT resource 130 and corresponding particular

industry vertical are updated in the database 150

for predicting, discovering, and identifying of the

IoT resources 130 at a later stage. Such

configuring and deploying of sensor profiling for each

IoT Resource is done via the platform (not shown in the

Fig. 1) within the server. A user who is

having administrative privileges can access the

platform, and such user is allowed to access the server

120 for configuring and carrying out profiling

for each IoT resource 130.

In accordance with an exemplary embodiment,

the sensor profiling includes various parameters such as

sensor parental category attributes for ensuring the IoT

Resource 130 identity across the sensor and/or

IoT device 130 data flow value chain, IoT

Resource 130 behavior attributes, ageing or

retirement attributes etc. In an example, the sensor

parental category can be a root holding the parental

ownership of the IoT Resources 130 used in the

industry verticals 140. The parental ownership

can act as the root to hold the account level ownership

and information with privileges, and such parental

ownership can be global or local depending on the

industry vertical 140 and its sub-verticals

140 respectively. The parental ownership helps in

aggregating the resources data flow value chain into the

server 120. Further, the IoT Resource profiling

parameters include IoT Resource’s 130 behavior

attributes such as state (or multiple states) which can

be utilized to identify the change in state of any IoT

Resource 130. Such behavior attributes can have

behavioral data pattern that depend on input data. The

input data pattern can be linear, ramp, pulse,

sinusoidal etc. Such input data pattern comprises of

real time signals captured by the IoT resources

130 used in the industry verticals 140.

Depending on the captured data, each IoT resource

130 behavior can be categorized as normal,

affordable, abnormal, and critical behavior. Such

behavioral categorization differs for each industrial

vertical 140 because of different IoT Resources

130 used for various applications. In general,

each IoT Resource 130 includes a unique identity,

and such unique identity is associated with sensor

profiling parameters. Thus, by associating the profiled

resources 130 with the industry verticals

140 helps in identifying a unique IoT system

within a specific IoT system associated with the

particular industry vertical 140.

Referring to Fig. 1, considering an

industry vertical 140 such as automotive

industry. In automotive industry, a car can have various

IoT Resources 130 interacting with each other

that capture the vehicle parameters such as whether the

brake fluid is there or not, whether the dash board

information cluster is working or not. All these data

are wirelessly transferred as signal to the server

120 through a gateway and such data are stored in

the database 150. Suppose if the dashboard

information cluster is not working properly then an

automatic query along with the behavioral attributes

such as critical, normal, abnormal, or affordable

behavior and unique identity of the dashboard is sent to

the car dealer from where the car was purchased. Upon

receiving the query, the server 120 automatically

retrieves various information related to the unique

identity of the dash board, where the information can be

owner of the car, car model, purchase year of the car,

whether his car is under warranty or not, automotive

parts etc. and the manufacturer of the dash board etc.

Such information is updated in the server 120.

The server 120 initiates an automatic replacement

order of the dashboard to its corresponding dashboard

manufacturer. The dashboard manufacturer acknowledges

the car manufacturer regarding the availability and

deliverability information of the new dashboard and this

information are updated to the server. Upon receiving

the acknowledgement from the car manufacturer, the

server automatically sends an alert about the

availability and deliverability information of the new

dashboard to the car dealer. The car dealer acknowledges

the car owner regarding the date of service of the car

for replacing the old dashboard with the new dashboard.

All these data are updated in the server 120.

Hence, the automotive industry 140 includes

sub-verticals such as customers, car service centers,

car dealers, automotive manufacturers etc. and such

verticals and sub-verticals are inter-related to each

other through the central server 120. Further,

these IoT Resources 130, verticals 140 and

its sub-verticals information are updated in the server

120. Thus, the sensor profiling helps in

identifying an IoT system such as particular sensor

130 used in the dashboard from among the various

IoT systems used in the car, and such IoT system depends

on unique identity, ownership global or local, industry

vertical, sub-industry vertical, behavior attributes,

behavioral data pattern.

One skilled in the art, may recognize that the

internet can be wired or wireless communication such as

internet provided by an ISP provider, 2G/3G/4G/5G

internet connection provided by the mobile service

provider etc. Such communication is not possible without

the internet protocols and IoT protocols in IoT, where

the internet protocols can be TCP/IP, HTTP, UDP etc.,

and IoT protocols can be Extensible Messaging and

Presence Protocol (XMPP), Data Distribution Service

(DDS), Advanced Message Queuing Protocol (AMQP), Message

Queue Telemetry Transport (MQTT), web socket,

Constrained Application Protocol (CoAP).

Fig. 2 illustrates details of a server

120, in accordance with an embodiment of the

invention. The server 120 includes server

components 220 that includes a

processor 222, communication network device

(s) 224 and a memory 226 coupled to

the processor 222. The server 120 having

the processor 222 is configured to fetch and

execute the methods that are stored as instruction in

the memory 226. Further, the processor 222

is coupled to the module (s) 228 such as sensor

profiling module (s) 230, sensor parental module

232 and behavior module 234, a deployment

module 236, a discovery module 238, a

mapping module 240, and an ageing module

242. As the processor 222 is coupled to

the communication device (s) 224, the memory

226, sensor profiling and identity module (s)

228, it allows the server 120 to

communicate with the IoT Resources 130 via the

internet 110. Each IoT Resource 130 has a

unique identity.

One skilled in the art, may recognize that the

communication network device (s) 224 may include

communication device(s) such as, WLAN, WIFI, routers,

Zigbee, gateway, bridges, GSM, GPS etc. to facilitate

communication between the server 120 and the

resources 130 such sensors and/or IoT devices via

the internet 110.

Further, the server 120 is configured

with a platform (not shown in the Fig. 2). A user who is

having permission to log into the platform (not shown in

the Fig. 2) through any computing device (Not shown in

the Fig) for carrying out profiling of each IoT Resource

130 can access the platform after providing

authentication information. The sensor profiling

parameters include parameters such as IoT Resource’s

130 device parental category attributes, IoT

Resource’s 130 behavior attributes and ageing or

retirement attributes. Such sensor profiling is

configured for each IoT resource 130 by the

sensor profiling module (s) 230. The sensor

profiling module (s) 230 includes various

parameters in order to profile IoT resource 130, the

parameters may be the sensor parental module 232

to identify and configure the sensor parental category

for each IoT Resource 130, where the sensor

parental category can be a root holding the parental

ownership of the resources 130 used in the

industry verticals 140. The parental ownership

such as global or local is assigned to each resource

130 depending on the priority level of IoT

resource used in IoT systems for industry verticals

140 and its sub-verticals respectively. Such

paternal ownership helps in aggregating the resources

data flow value chain to the server 120. In an

example, the priority level of the IoT Resources

130 depends on level of importance of each IoT

sensor 130 used in the IoT systems.

Again referring to Fig. 2, the server

120 having the sensor profiling module (s)

230 includes behavior module 234 allowing

the user to configure IoT resource’s 130 behavior

attributes such as state machine mapping if the sensor

holds multiple states when an event-triggered

transitions occurs in each IoT resource130. Such

behavior attributes includes behavioral data pattern

that depends on input data pattern of each IoT

resource 130 that are used in different IoT

systems for various industry verticals. The input data

pattern can be linear, ramp, pulse, sinusoidal etc. Such

input data pattern are the real time signals captured by

the IoT resource 130 used in the industry

verticals 140. Depending on the captured data,

each IoT resource 130 behavioral can be

categorized as normal, affordable, abnormal, and

critical behavior. Such behavioral categorization

differs for each industrial vertical 140 because

of different IoT resources 130 and depends on the

industry vertical application. Further, the server

120 includes an ageing profiling module (not

shown in the Fig. 2) to configure ageing or retirement

definition for each IoT resource 130. The ageing

profiling module helps in managing the IoT resource

130 replacement notifications. Hence, each IoT

resource 130 is configured with sensor profiling

parameters, IoT resource 130 device parental

category attributes, sensors and/or IoT devices

130 behavior attributes and ageing or retirement

attributes of IoT resource 130. Such sensor

profiling parameters are deployed in each IoT resource

130 by the deployment module 236 and

further all such sensor profiling parameters and IoT

resources 130 unique identities are stored in the

database 150 for discovering, predicting &

mapping, and identifying of the IoT resource 130

and its associated industry vertical 140.

Again referring to Fig. 2, when the

user logs into the server 120, a discovery

process is initiated by the discovery module 238

in the server 120 to discover one or more

profiled IoT resources 130 and thus start the sensor

profiling workflow in each IoT resource 130. Upon

initiating the discovery process, each IoT resource 130

behavior is tracked, if any deviations in the IoT

resource 130 activities used in the IoT system is

recorded, then the particular IoT resource 130

sends a handshake signal/data to the server 120

which is received by the discovery module 238.

The handshake data includes information about a unique

identity of the particular IoT resource 130. Upon

receiving the handshake data or unique identity, the

mapping module 240 starts finding to which

industry vertical 140 the particular IoT resource 130

belongs to. By mapping unique identity of IoT

resource 130 with the behavior of the IoT resource 130,

deviation from the normal behavior of the IoT resource

130 is identified. If the IoT resource’s unique identity

and its sensor profiling parameters match with the

industry verticals then the mapping module 240

further identifies the IoT system to which IoT

resource 130 belong to. Thus, identifying the IoT system

by the mapping module 240 depends on unique

identity, sensor profiling parameters such as ownership

global or local, behavior attributes, behavioral data

pattern etc., and industry vertical and its sub-industry

vertical. Depending on the IoT resource’s behavior such

as critical, normal, abnormal etc., the ageing module

242 suggests replacement of the IoT resource.

Such replacement information is already pre-defined by

the ageing definition module (not show in the Fig. 2).

Again referring to Fig. 2, when the

user logs into the server 120, the server

120 initiates a discovery process to discover one

or more profiled IoT resources 130 and to start the

sensor profiling workflow of each IoT resource

130. The discovery module 238 initiates

such discovery process. During the discovery process,

each IoT Resource’s 130 behavior is tracked and

if there is any deviation in the behavior, then the

particular sensor and/or IoT device 130 sends a

handshake data to the server 120 and this data is

received by the server’s 120 discovery module.

The handshake data includes information about a unique

identity of the particular IoT resource 130. Upon

receiving the handshake information or unique identity,

the server 120 starts predicting which particular

IoT resource 130 belongs to which industry

verticals 140. If the unique identity and

its sensor profiling parameters match with the industry

verticals 140 then the server 120 having a

mapping module helps in identifying the state or

other attribute of the IoT resource 130 based on

industry vertical parameters.

Fig. 3 shows a flowchart depicting / illustrating

a method 300 of sensor profiling and identity

modeling of resources in IoT systems, in accordance with

an embodiment of the present subject matter. The method

300 may be described in the general context of

computer executable instructions. The method 300

can be implemented in any software, hardware, firmware,

or combination thereof.

The method 300 of sensor profiling and

identity modeling of IoT resources in IoT systems that

are used in different industry verticals involves

authenticating a user to log into a server (step

302) and enabling configuring of at least one IoT

Resource profile corresponding to at least one IoT

Resource deployed in an IoT system (step 304).

The method 300 further involves initiating of a

discovery process for discovering one or more profiled

IoT resources (step 306) and mapping of behavior

of at least one IoT resource with a unique identity

(step 308). Furthermore, the method 300

identifying of the deviation from normal behavior for

the IoT resource based on industry vertical parameters

(step 310) and identifying of the IoT system to

which the IoT resource belongs (step 312).

The foregoing description of the specific

embodiments will so fully reveal the general nature of

the embodiments herein that others can, by applying

current knowledge, readily modify and/or adapt for

various applications such specific embodiments without

departing from the generic concept, and, therefore, such

adaptations and modifications should and are intended to

be comprehended within the meaning and range of

equivalents of the disclosed embodiments. It is to be

understood that the phraseology or terminology employed

herein is for the purpose of description and not of

limitation. Therefore, while the embodiments herein have

been described in terms of preferred embodiments, those

skilled in the art will recognize that the embodiments

herein can be practiced with modification within the

spirit and scope of the embodiments as described herein.

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Patent Valuation

34.0/100 Score

Market Attractiveness

It shows from an IP point of view how many competitors are active and innovations are made in the different technical fields of the company. On a company level, the market attractiveness is often also an indicator of how diversified a company is. Here we look into the commercial relevance of the market.

6.0/100 Score

Market Coverage

It shows the sizes of the market that is covered with the IP and in how many countries the IP guarantees protection. It reflects a market size that is potentially addressable with the invented technology/formulation with a legal protection which also includes a freedom to operate. Here we look into the size of the impacted market.

49.0/100 Score

Technology Quality

It shows the degree of innovation that can be derived from a company’s IP. Here we look into ease of detection, ability to design around and significance of the patented feature to the product/service.

41.0/100 Score

Assignee Score

It takes the R&D behavior of the company itself into account that results in IP. During the invention phase, larger companies are considered to assign a higher R&D budget on a certain technology field, these companies have a better influence on their market, on what is marketable and what might lead to a standard.

11.0/100 Score

Legal Score

It shows the legal strength of IP in terms of its degree of protecting effect. Here we look into claim scope, claim breadth, claim quality, stability and priority.

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