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Internet of Things (IoT) for Business Growth Insight from Patents
Inter-connected intelligent things (IoT) can provide diverse value propositions for
creating new business opportunities: smart home, connected car, connected health, smart
factory, smart commerce, smart grid, smart city etc. Especially, IoT enables the business
growth for diverse industries as follows.
A. Growth by generating revenue from new product/service offerings
US9269202 illustrate a connected car telematics business that provides data analytics
products to third parties. The telematics system collects vehicle operation data. The
collected data transferred to the remote data processing system. The remote data
processing system creates databases for evaluating driver behavior or operation
characteristics. The database can be correlated or evaluated with other databases for a
wide variety of uses.
US9218740 illustrate a connected car cloud service to assist drivers with respect to
improving driver safety. The cloud-based driver assistive system can warn drivers upon
impending collisions. Using mobile devices and relatively inexpensive sensors and
wireless connections to the cloud service, the cloud-based driver assistive system can be
implemented inexpensively for enriching the driving experience without needing new
roadside infrastructure for vehicle-to-infrastructure (V2I) communications and
embedding the Dedicated Short-Range Communications (DSRC) device to every vehicle
for inter-vehicle (V2V) communications.
B. Growth through strengthening competitive position by adding new
functionality/performance for the existing product/service while lowering
production cost and manufacturing quality control
US20150364028 illustrates a smart home security product for detecting the home premise
condition using audio analytics. Sounds occurring on or near the premise can be detected
and analyzed. The smart home security product sends the recognized class to a remote
control unit and causes a predetermined response to occur. The predetermined response
includes sending messages to law enforcement or medical personnel.
US20150351698 illustrates a system for analyzing physiological and health data (e.g.,
activity data) retrieved from wearable monitors using a smartphone to identify
emergencies or medically significant events in real-time. The system generates medical
notifications corresponding to the identified medical event and generated health level in
real-time. The generated health level is transmitted by smartphone to an emergency
response system when the identified medical event is an emergency medical event.
US20160202692 illustrates an IoT system for efficiently and accurately managing a
multi-part product production line in a factory environment. The factory is equipped with
sensors for detecting technician’s location and surrounding environment within a
particular zone of the production line. When the technician enters an assigned zone of the
production line, the sensors are activated and establish communication with the backend
computing system to validate and authenticate technician's presence within the zone.
Then, the technician receives instructions and images for the designated task.
US20160209831 illustrates the IoT-based system for administering process control and
predictive maintenance of machines in a factory. US20150347850 illustrates the IoT
Augmented Reality (AR) system for a smart factory.
C. Growth through business model innovation by creating new market or by
providing fundamentally different value propositions for the current market
US20120165617 illustrates a system for early health and preventive care using data from
wearable sensors. Data collected from the sensors is transmitted to a mobile cloud
computing platform-as-a-service (PaaS). The predictive analytics analyzes the received
data to predict diseases and other conditions to which the patient may be predisposed.
US20140275807 illustrates the predictive analytics application in the personalized
medicine. Personalized medicine refers to the use of a diagnostic to target a therapy at a
patient exploiting the patient’s individual health data including genotypic that are most
likely to benefit from the therapy.
US20150039105 illustrates the smart home intelligence system to fulfill the special needs
of each family member exploiting machine learning techniques. The smart home
intelligence system includes an identification sensor, a real-time locating system and a
machine learning module. Upon the home member is detected with the ID information
and the location information, the machine learning module correlates the ID information
and the location information with the detected control parameters to customize for the
home member a set of preferred control parameters for operating the appliances.
US20140207282 illustrates a household robot that can take care of home. The household
robot can monitor the state of a home, clean the home and turn on/off various appliances
for you automatically and transmit the surveillance data to you in an emergency condition
detected by the robot. As illustrated in US20150224640 the household robot even can
take care of your health. The robot can carry on a dialogue with the resident, and check
your health condition and reinforce compliance with medication. US20140277735
illustrates the friendly, helpful and intelligent home robot that can adapt to reside
continually in the environment of a person and to interact with a user. The home robot
can provide emotional engagement with the user. The home robot can sense and respond
and learn as the user engage with the home robot.
References
IoT Smart Home Patents Data 2Q 2016
IoT Connected Car Patents Data 2Q 2016
IoT Connected Health Patents Data 2Q 2016

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Internet of Things (IoT) for Business Growth Insight from Patents

  • 1. Internet of Things (IoT) for Business Growth Insight from Patents Inter-connected intelligent things (IoT) can provide diverse value propositions for creating new business opportunities: smart home, connected car, connected health, smart factory, smart commerce, smart grid, smart city etc. Especially, IoT enables the business growth for diverse industries as follows. A. Growth by generating revenue from new product/service offerings US9269202 illustrate a connected car telematics business that provides data analytics products to third parties. The telematics system collects vehicle operation data. The collected data transferred to the remote data processing system. The remote data processing system creates databases for evaluating driver behavior or operation characteristics. The database can be correlated or evaluated with other databases for a wide variety of uses.
  • 2. US9218740 illustrate a connected car cloud service to assist drivers with respect to improving driver safety. The cloud-based driver assistive system can warn drivers upon impending collisions. Using mobile devices and relatively inexpensive sensors and wireless connections to the cloud service, the cloud-based driver assistive system can be implemented inexpensively for enriching the driving experience without needing new roadside infrastructure for vehicle-to-infrastructure (V2I) communications and embedding the Dedicated Short-Range Communications (DSRC) device to every vehicle for inter-vehicle (V2V) communications.
  • 3. B. Growth through strengthening competitive position by adding new functionality/performance for the existing product/service while lowering production cost and manufacturing quality control US20150364028 illustrates a smart home security product for detecting the home premise condition using audio analytics. Sounds occurring on or near the premise can be detected and analyzed. The smart home security product sends the recognized class to a remote control unit and causes a predetermined response to occur. The predetermined response includes sending messages to law enforcement or medical personnel. US20150351698 illustrates a system for analyzing physiological and health data (e.g., activity data) retrieved from wearable monitors using a smartphone to identify emergencies or medically significant events in real-time. The system generates medical notifications corresponding to the identified medical event and generated health level in
  • 4. real-time. The generated health level is transmitted by smartphone to an emergency response system when the identified medical event is an emergency medical event. US20160202692 illustrates an IoT system for efficiently and accurately managing a multi-part product production line in a factory environment. The factory is equipped with sensors for detecting technician’s location and surrounding environment within a particular zone of the production line. When the technician enters an assigned zone of the production line, the sensors are activated and establish communication with the backend computing system to validate and authenticate technician's presence within the zone. Then, the technician receives instructions and images for the designated task. US20160209831 illustrates the IoT-based system for administering process control and predictive maintenance of machines in a factory. US20150347850 illustrates the IoT Augmented Reality (AR) system for a smart factory.
  • 5. C. Growth through business model innovation by creating new market or by providing fundamentally different value propositions for the current market US20120165617 illustrates a system for early health and preventive care using data from wearable sensors. Data collected from the sensors is transmitted to a mobile cloud computing platform-as-a-service (PaaS). The predictive analytics analyzes the received data to predict diseases and other conditions to which the patient may be predisposed. US20140275807 illustrates the predictive analytics application in the personalized medicine. Personalized medicine refers to the use of a diagnostic to target a therapy at a patient exploiting the patient’s individual health data including genotypic that are most likely to benefit from the therapy. US20150039105 illustrates the smart home intelligence system to fulfill the special needs of each family member exploiting machine learning techniques. The smart home intelligence system includes an identification sensor, a real-time locating system and a
  • 6. machine learning module. Upon the home member is detected with the ID information and the location information, the machine learning module correlates the ID information and the location information with the detected control parameters to customize for the home member a set of preferred control parameters for operating the appliances. US20140207282 illustrates a household robot that can take care of home. The household robot can monitor the state of a home, clean the home and turn on/off various appliances for you automatically and transmit the surveillance data to you in an emergency condition detected by the robot. As illustrated in US20150224640 the household robot even can take care of your health. The robot can carry on a dialogue with the resident, and check your health condition and reinforce compliance with medication. US20140277735 illustrates the friendly, helpful and intelligent home robot that can adapt to reside continually in the environment of a person and to interact with a user. The home robot can provide emotional engagement with the user. The home robot can sense and respond and learn as the user engage with the home robot.
  • 7. References IoT Smart Home Patents Data 2Q 2016 IoT Connected Car Patents Data 2Q 2016 IoT Connected Health Patents Data 2Q 2016