Goldman Sachs defines the IoT (Internet of
Things) as the third wave of internet revolution: by connecting to the internet
billions of devices, the IoT opens up a host of new business opportunities and
challenges. According to McKinsey, the IoT has the potential to create up to $6
trillion economic value annually by 2025. The IoT has various applications
including, smart homes, connected cars, smart grids, smart healthcares, smart
businesses and smart cities. Many players across diverse industries including
semiconductor, consumer electronics, ICT, healthcare, retail, industrial &
manufacturing and transportation are participated in the IoT business.
Recently, many global leaders in the IoT business provide the IoT platforms to
create diverse platform-based
business models and
form the IoT
business ecosystem.
According to the market research of Research and Markets, there are more than
2000 companies (including 260 companies that are offering IoT platforms) that
are selling IoT enabled products, playing a vital part in the IoT technology
infrastructure, or act as an enabler to the IoT development.
One
of the best ways to understand the investment potential of IoT is to have
insights regarding the market growth potential and the earning power of
specific technologies, business sectors or companies. Patent information can
provide many valuable insights that can be exploited for finding investment
potential of IoT. Most of all, patents
can provide insights regarding the state of the art and future direction of IoT
innovation for the specific technologies (e.g., Smart
UI/UX, Autonomous
Vehicles, M2M
Connectivity),
products/services (e.g., Smart
Homes, Healthcare/Medical
Devices, Connected
Cars,
Big
Data Analytics) and companies (e.g., Apple,
Cisco,
IBM,
Qualcomm,
Samsung).
Patents also can provide
insights regarding a
new company to become play a leading role in the emerging IoT market. Furthermore,
patents can provide insights
regarding emerging disruptive
IoT products/Services by
providing IoT products with new performance/value proposition attributes that
may not previously have been valued by existing end users (e.g., convergence
with other technologies to create synergies). Therefore,
one can find the specific IoT technologies, business sectors or companies for
investment opportunities in venture capital funding, M&A, patent/technology
acquisition/monetization, leveraged buyout and stock investment. Following
illustrates some examples of IoT technologies, business sectors and companies
for potential investment opportunities that are obtained from patent
information.
Energy
Harvesting Device
Samsung
Electronics is active in the development of energy harvesting IoT sensor
devices. 20150115868 (ENERGY HARVEST AND STORAGE SYSTEM AND MULTI-SENSOR
MODULE: Samsung) illustrates the multi-sensor module that includes energy
harvesting device that converts thermal energy into electrical energy using the
thermoelectric materials. US20140152134 (ENERGY HARVESTING DEVICES; Samsung)
illustrates the energy harvesting device that converts magnetic energy into
electrical energy using the piezo-electric materials. US20150194911 (ENERGY
HARVESTER; Samsung) illustrates the energy harvesting device that converts
electrostatic energy into electrical energy using the ferroelectric materials.
LED VLC
Since Light Emitting Diodes (LEDs) have widely used because of their high
durability, longevity, portability, low power consumption, absence of harmful
substances such as mercury, and so forth, the LED light emitting sources are
becoming ubiquitous everywhere. Thus, visible light communication (VLC) with
LEDs as transmitters and receivers for wireless communication can provide the
IoT connectivity in many IoT applications. General Electric in collaboration
with Qualcomm is active in the development of LTE VLC technology
and applications. For example, thhe
position of the mobile device can be determined from finding the transmitted
positional information in an indoor map of the structure. This map can be
downloaded to the mobile device, or the mobile device can use a local area
network to access a database containing the indoor map. Exploiting the LED position systems the
shoppers in a shopping mall can receive indoor navigation guide maps, product
information, and promotional advertisements.
US20150223277 (USING VISIBLE LIGHT
COMMUNICATION TO MANAGE WIRELESS COMMUNICATIONS BETWEEN DEVICES; Qualcomm)
illustrates the LED VLC for the smart home/building IoT applications. The LED
VLC is a type of wireless communication in which the intensity of a VLC signal
may be modulated to carry information. The LED VLC can be useful in that VLC
can enable communication over relatively long distances within a room or
building, yet also confine communication to a room or building (e.g., because
the LED VLC signals do not pass through opaque walls). The LED VLC can also be
useful in that VLC signals may be received using, for example, an image sensor
of a device camera and/or an ambient light sensor of a device, which sensors
may be included on cellular devices (e.g., smartphones), computers (e.g.,
tablet computers), and/or certain wearable devices (e.g., watches and/or
electronic glasses).
US20150215744 (SYSTEM AND METHOD FOR INDOOR
POSITIONING, NAVIGATION AND LOCATION SPECIFIC SERVICES; GE) illustrates the LED
VLC for the smart home/building positioning applications. The indoor
positioning system includes modulating the light output of LED lamps installed
throughout the structure. The LED light can be modulated at a fast rate that is
imperceptible to the human eye. This modulation can be detected by suitably
configured cameras. The modulation can include positioning data of the LED
lamp. A digital camera on a handheld device in conjunction with an application
can discern the modulated data. The modulation requires the placement of a
microchip controller at each LED lamp undergoing modulation. The microchip, in
conjunction with software, controls the fast rate modulation.
Emotion-Aware IoT
An individual's mental state is important to
general well-being and effective decision making. Mental states include a wide
range of emotions and experiences from happiness to sadness, from contentedness
to worry, from excitation to calm, and many others. When an individual is aware
of his or her mental well-being, he or she is better equipped to realize his or
her own abilities, cope with the normal stresses of life, work productively and
fruitfully, and contribute to his or her community. US20140200463 (MENTAL STATE
WELL BEING MONITORING; Affectiva) illustrates a practical possibility of
implementation of emotion-aware IoT applications by determining well-being
status from an analysis of facial information and physiological information of
an individual. US20130054090 (EMOTION-BASED
VEHICLE SERVICE SYSTEM, EMOTION COGNITION PROCESSING APPARATUS, SAFE DRIVING
SERVICE APPARATUS, AND EMOTION-BASED SAFE DRIVING SERVICE METHOD; ETRI) illustrates
a practical possibility of implementation of emotion-aware connected car
applications.
Augmented Reality
Augmented Reality can provide diverse IoT
user interfaces and experiences. US20130346168 (Wearable augmented reality
eyeglass communication device including mobile phone and mobile computing via
virtual touch screen gesture control and neuron command; Dylan T X Zhou)
illustrates a practical possibility of implementation of the touch screen UI
that is implemented in the air exploiting a head mounted wearable augmented
reality eyeglass communication device. The user may interact with the data
and/or objects projected by the projector such as the virtual touch screen. A
camera may capture images or video of user body parts in relation to the
projected objects and recognize user commands provided via virtual control
components. Alternatively, motions of user fingers or hands may be detected by
the sensors and interpreted by the processor.
US20130083061
(FRONT- AND REAR- SEAT AUGMENTED REALITY VEHICLE GAME SYSTEM TO ENTERTAIN &
EDUCATE PASSENGERS; GM) illustrates an augmented reality game for a vehicle. A
real-time video image during operation of a vehicle from a camera mounted on
the vehicle merges with virtual images to provide an augmented reality image.
The augmented reality image is then transmitted to a display of a gaming device
during the operation of the vehicle.
Smart
Home Robots
iRobot
is active in the development of smart home robots. US20150224640 (COMPANION
ROBOT FOR PERSONAL INTERACTION; iRobot) illustrates a smart home robot for
interacting with a resident in the resident's home. The robot may include a
sensor capable of monitoring the resident when the robot is in the resident's
home and the resident is within range of the sensor, a controller connected to
monitor surveillance data from the sensor, a transmission control routine
configured to enable a transmission of surveillance data from the sensor
outside the resident's home if the resident grants permission for the
transmission, and an override routine configured to enable a transmission of
surveillance data from the sensor outside the resident's home (i) in an
emergency condition detected by the robot or (ii) after an authorized remote
caregiver sends to the robot an authorization previously permitted by the
resident and an emergency condition indication. The robot may also carry on a
dialogue with the resident, reinforce compliance with medication.
Smart
Haptic Medical Devices
Smart
haptic devices employing tactile feedback technology which recreates the sense
of touch can be used for an operator of a surgical instrument or diagnostics of
a patient remotely. US20140336669 (Haptic gloves and surgical robot systems;
Samsung) illustrates a haptic glove configured to transmit haptic feedback to
an operator of a surgical robot system. US9046926 (System and method of
dynamically generating a frequency pattern to realize the sense of touch in a
computing device; IBM) illustrates a system for providing the sense that a
doctor can feel a wound without being co-located with a patient. The system
comprises an image processing module capable of extracting a plurality of
features from a visual representation of a physical object and a frequency
generation module capable of generating a variable frequency pattern
corresponding to the extracted features, and sending the variable frequency
pattern to a computing device in which the computing device generates the
tactile feedback in response to a stimulation applied by a user based on the
variable frequency pattern.
Smart
Health Monitoring Devices
Health
monitoring sensor devices including internet connected wearable devices can
provide a real time monitoring of person’s health status such as heart rate and
blood pressure and enable remote healthcare services. US20150120317 (ADAPTIVE
INTERFACE FOR CONTINUOUS MONITORING DEVICES; DexCom) illustrates a glucose
sensing device that is capable of measuring the concentration of glucose.
US20150213231 (METHOD, SERVER, AND USER DEVICE FOR PROVIDING USER'S PERSONAL
MEDICINE INFORMATION MANAGEMENT SERVICE BETWEEN THE SERVER AND THE USER DEVICE;
Samsung) illustrates a system to manage a person’s medication. US20100256460 (Wearable Monitoring
System; GE) illustrates a wearable monitoring system to collect and manage physiological information which is indicative of a
condition of a respiration function. This device can be used at home by a
doctor remotely to monitor apnea (e.g. sleep apnea that breathing is interrupted).
US20140275824 (Multiple Sensors for Monitoring Health and Wellness of an
Animal; i4C Innovations) illustrates a wearable device for monitoring the
health of an animal. The wearable device may include several sensors, RFID tag,
GPS receiver and wireless connectivity to send the sensed data.
Self-Driving
Cars
US
20150158499 (VEHICLE MONITORING SYSTEM: Magna Electronics) illustrates an
automated vehicle monitoring system that includes a central processor operable
to receive vehicle inputs from multiple vehicles. The vehicle inputs are
indicative of driving conditions of the vehicles. The central processor is
operable to receive, for each vehicle of the multiple vehicles, an environment
input indicative of the environment at that vehicle. Responsive to the vehicle
inputs and the environment inputs, the central processor determines if one or
more of the multiple vehicles is at or approaching a hazardous condition.
Responsive to a determination that one or more of the multiple vehicles is a
threatened vehicle at a potentially hazardous condition, the central monitoring
system at least one of (i) actuates an alert of the threatened vehicle to alert
a driver of the threatened vehicle of the determined hazardous condition and
(ii) controls a vehicle system of the threatened vehicle to mitigate the
determined hazardous condition.
US20150149265(CONTROLLED PARKING OF
AUTONOMOUS VEHICLES; GM) illustrates an autonomous perpendicular parking
system. US8457844 (Parallel parking assistant system and method thereof; Delphi
Technologies) illustrates an autonomous parallel parking system.
Connected
Car Security
US20150020152
(SECURITY SYSTEM AND METHOD FOR PROTECTING A VEHICLE ELECTRONIC SYSTEM; ARILOU
INFORMATION SECURITY TECHNOLOGIES) illustrates a security system for protecting
a vehicle electronic system by selectively intervening in the communications
path in order to prevent the arrival of malicious messages at Electronic
Control Units (ECUs). The security system includes a filter which prevents
illegal messages sent by any system or device communicating over a vehicle
communications bus from reaching their destination. The filter may, at its
discretion according to preconfigured rules, send messages as is, block
messages, change the content of the messages, request authentication or limit
the rate such messages can be delivered, by buffering the messages and sending
them only in preconfigured intervals.
US
20150150124 (Cloud-assisted threat defense for connected vehicles; Cisco)
illustrates a system for cloud-assisted threat defense for connected vehicles.
A vehicle includes an on-board computer system for operating and/or controlling
various systems on the vehicle. The on-board computer system operates in
connection with or includes an on-board threat defense module or a cloud-based
security component for detecting and protecting against malware attacks and
other security threats to the vehicle.
Connected
Car Safety/Collision Avoidance
Hyundai
is active in the development of connected care safety system. US 20150146605
(V2V SAFETY SYSTEM USING CONSENSUS; Zetta Research and Development) illustrates
a system for safety and anti-collision exploiting the vehicle-to-vehicle (V2V)
communication system. US20150149059 (AUTOMATIC SPEED CONTROLLABLE VEHICLE AND
METHOD FOR CONTROLLING SPEED THEREOF; Hyundai Mobis) illustrates an automatic
speed controllable vehicle exploiting vehicle-to-infrastructure (V2I)
communication system. US 20150054659 (COOPERATIVE VEHICLE COLLISION WARNING
SYSTEM; Fujitsu) illustrates a vehicular communication systems enable vehicles
to wirelessly communicate with each other to exchange traffic information and
generate safety warnings depending on the traffic information exploiting V2X
(V2V and V2I) communication system.
Personalized
Geo-fencing
Apple
is the leader in the development of the personalized geo-fencing system.
US20150072674 (Location-Based Device Automation; Apple) illustrates a system for
location-based device automation for some smart home applications. Smart home IoT devices (e.g., lights and appliances)
associated with a particular geographic location (e.g., room, office, building)
can be automated based on a geographic location of mobile devices. Automation
of a device can include activating or deactivating the device, or adjusting the
settings of the device. For example, home lighting can be configured to
activate or deactivate depending on a day and time. Automation modes (e.g., a
home mode, an away mode, or a vacation mode) can be used to adjust automation
settings for the devices. A particular automation mode can be selected to
automate (e.g., adjust the settings) the devices using the configured
automation settings for the particular automation mode. An automation setting
can indicate a particular setting for the particular device (e.g., a thermostat
setting, a volume level, or a light dimming setting). Automation modes can be
personalized using the user profiles associated with the mobile device at the specific
geographic location to provide the personalized entertainment.
Big
Data Analytics
IBM
is active in the development of big data analytics for IoT applications. US20140297826
(SYSTEM AND METHOD FOR BIG DATA AGGREGATION IN SENSOR NETWORK; ETRI) illustrates
a system for big data aggregation in a sensor network. US20150134704 (Real Time
Analysis of Big Data; IBM) illustrates a system for processing large scale
unstructured data in real time. The interconnected IoT sensing devices
continuously generate massive information at a very high speed. Thus a
technology for effectively processing a huge amount of information in the form
of a data stream in real time is very important.
US20150179079
(MOBILE DEVICES AS NEURAL SENSORS FOR IMPROVED HEALTH OUTCOMES AND EFFICACY OF
CARE; New Technologies & Associates) illustrates a system and for real time
monitoring a patient's cognitive and motor response to a stimulus. The big data
analysis of massive data obtained by the IoT healthcare/medical devices can
provide many value-added healthcare services. The real time monitoring system
includes a mobile or tablet device, a user interface disposed on the mobile
device, sensors monitoring user interaction with the mobile device and
capturing kinesthetic and cognitive data. The real time monitoring system also
includes a processor comparing the kinesthetic and cognitive data and comparing
the data to a baseline, and identifying relative improvement and impairment of
cognition and motor skills from the comparison exploiting big data analytics
that can be accessed locally over a WAN/LAN or in the cloud or across multiple
clouds.
Smart
Home & Connected Car Convergence
IoT
business will have synergies by the convergence of many different technologies
or business attributes. Converged IoT business can create entirely new
industries providing dramatically different values to the customers. US20140167983
(INTEGRATION OF VEHICLE WITH HOME-CENTRIC SYSTEM; Zubie) illustrates an
integration of the smart home and connected car system. Smart home system includes
home smart appliance networks, home smart energy systems, smart lighting system
and others. The smart home system can include sensors or components that are
physically located at different places throughout the home and are in
communication with a central "command center" that consolidates information
from each of the sensor/components whether a particular entry door, window, or
garage door is opened, or whether a motion sensor has sensed any motion, or
whether a particular light or set of lights is off/on or a current temperature
of the house.
US20140309790
(ADJUSTING HOME AUTOMATION COMFORT BASED ON VEHICLE ASSOCIATED USER PROFILE
DATA: Flextronics AP) illustrates a system to create an environment within the
vehicle similar to that of an individual's home. An individual who is more
comfortable while traveling instills confidence and pleasure in using a given
vehicle, increasing an individual's preference for a given manufacturer and/or
vehicle type. One way to instill comfort in a vehicle is to create the
integrating features in a vehicle that are associated with comfort found in an
individual's home by proving user’s profile data at home. The connected car
system receives user’s profile data from smart home system and determines
context to change a configuration of a vehicle. The configurations can include comfort
and interface settings that can be adjusted based on the user profile
information. Further, the user profiles can track health data related to the
user and make adjustments to the configuration to assist the health of the
user.
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