1) The document discusses an object management platform for managing the growing number of internet-of-things (IoT) devices.
2) The object management platform allows for unitary management of devices using concepts like "domains" and connects devices through APIs.
3) It provides a real-life case example of the object management platform being used to manage beacons, digital billboards, temperature/humidity sensors, and people counters at a conference center.
Singapore business review fighting counterfeits in retail through blockchain ...AbbyDeng3
Singapore Business Review: LINFINITY attempts to combat the issue of low accuracy by revolutionizing the storing method using blockchain technology, and analyzing the data collected through IoT devices with the support of AI.
IoT startups experiences with Orange DeveloperThierry Gaillet
IoT: sharing real-life experiences with startups at the (great) Web2day.co festival in Nantes.
Multiple use-cases and solutions based on connected objects, LoRa and cellular networks, data and device management platforms... from an Orange Developer advocate perspective.
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
On May 31, 2018, Scientific Tradition and LINFINITY signed a strategic cooperation agreement at WealthBriefingAsia Awards 2018, and selected its flagship product as the pilot product of the first phase experimentation, expecting to protect its patented technology and to ensure its product quality through blockchain technology, thus providing genuine products to customers.
How Are AI And ML Transforming Decision Making?InterCon
A session by Daniel Eyre, CEO, Blockchange Digital Assets on the topic of 'How Are AI And ML Transforming Decision Making?' at InterCon USA 2019, held at Caesars Palace, Las Vegas on 18-20 June, 2019.
The rise of Artificial Intelligence and how Financial Companies and startups can embrace AI to deliver financial services and products to their customers. How AI is being used in digital lending industry.
Singapore business review fighting counterfeits in retail through blockchain ...AbbyDeng3
Singapore Business Review: LINFINITY attempts to combat the issue of low accuracy by revolutionizing the storing method using blockchain technology, and analyzing the data collected through IoT devices with the support of AI.
IoT startups experiences with Orange DeveloperThierry Gaillet
IoT: sharing real-life experiences with startups at the (great) Web2day.co festival in Nantes.
Multiple use-cases and solutions based on connected objects, LoRa and cellular networks, data and device management platforms... from an Orange Developer advocate perspective.
What we got covered?
1) What Is Industrial IoT
2) Application of Industrial IOT
3) Machine To Machine (M2M)
4) Benefits of Industrial IoT
5) Vendors in Industrial IoT
6) Features of Industrial IoT
On May 31, 2018, Scientific Tradition and LINFINITY signed a strategic cooperation agreement at WealthBriefingAsia Awards 2018, and selected its flagship product as the pilot product of the first phase experimentation, expecting to protect its patented technology and to ensure its product quality through blockchain technology, thus providing genuine products to customers.
How Are AI And ML Transforming Decision Making?InterCon
A session by Daniel Eyre, CEO, Blockchange Digital Assets on the topic of 'How Are AI And ML Transforming Decision Making?' at InterCon USA 2019, held at Caesars Palace, Las Vegas on 18-20 June, 2019.
The rise of Artificial Intelligence and how Financial Companies and startups can embrace AI to deliver financial services and products to their customers. How AI is being used in digital lending industry.
BrightTalk webinar given last June, 21st and available in https://summits.brighttalk.com/webinar/big-data-and-real-time-analytics-in-the-iot-from-measurement-to-knowledge/
Covering:
- IoT Analytics business cases
- IoT & Analytics platform
- Examples and tecnical description.
[IoTs & Wearables] Future proof your business for the Wearables & Internet of...Globant
By Mariano Vassallo (Technical Director, Wearables & Internet of Things Studio @Globant) & Santiago Piacenza (Product Director, Wearables & Internet of Things Studio @Globant)
social distance shopping using embedded system based auto and android app .pptxVELUDANDIAKASH
Revolutionizing the shopping experience, our innovative solution, 'Social Distance Shopping,' seamlessly integrates cutting-edge technology to enhance safety and convenience. Leveraging the power of embedded systems and an intuitive Android app, this novel shopping approach ensures a secure and efficient shopping journey in today's dynamic world.
At its core, the embedded-based auto cart is the heart of this transformative concept. Designed with state-of-the-art sensors, cameras, and navigational capabilities, the auto cart intelligently maneuvers through the store, guided by the Android app. Shoppers can effortlessly sync their shopping lists, locate items, and even request real-time assistance via the app. This dynamic synergy between the auto cart and the app minimizes physical contact and fosters a touch-free shopping environment.
A key highlight of this innovation is its ability to enforce social distancing. The embedded sensors monitor the proximity of other shoppers and obstacles, automatically adjusting the cart's speed and direction to maintain a safe distance. This not only prioritizes the health of customers but also offers peace of mind during the shopping journey.
The Android app serves as a personalized shopping companion. Users can conveniently browse store aisles virtually, locate products efficiently, and even receive promotional offers tailored to their preferences. The app also facilitates contactless payment, reducing the need for physical cash handling or card swiping.
'Social Distance Shopping' not only embraces the 'new normal' but also shapes a shopping experience that is safer, more convenient, and technologically advanced. By seamlessly blending embedded systems and user-friendly software, this solution ushers in a new era of shopping-one that prioritizes health, minimizes physical contact, and enhances overall customer satisfaction. As we navigate the challenges of the present, 'Social Distance Shopping' points the way forward for a smarter and safer retail landscape.
Tags:
#Social Distance Shopping
#Embedded Systems
#Auto Cart
#Android App
#Retail Technology
#Contactless Shopping
#Shopping Innovation
#Technology in Retail
#Social Distancing Solutions
#Mobile Applications
#Retail Automation
#Contactless Payments
#Smart Carts
#Shopping Experience
#Internet of Things (IoT)
#Retail Safety
#Shopping Convenience
#Retail Trends
#Customer Experience
#Innovation in Shopping
What if Things Start to Think - Artificial Intelligence in IoTMuralidhar Somisetty
Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.
Development and implementation of a miniature RFID system in a shopping mall ...IJECEIAES
The advancement of technology has brought about the need for industrial innovation. One area where innovation is required in a developing country is in the retail industry (this is the focus point of this project) where the present system that is the barcode technology is old and archaic. This project is based on the use of Radio Frequency Identification (RFID) technology to create a faster, easier and more secured checkout system. This paper showcases the development of a miniature RFID desktop application that can be used for registering items coming into a shopping mall, checking out of goods bought from the shopping mall and the detection of an attempt to steal goods from the shopping mall, using both C# programming language and MySQL for the database management.
BrightTalk webinar given last June, 21st and available in https://summits.brighttalk.com/webinar/big-data-and-real-time-analytics-in-the-iot-from-measurement-to-knowledge/
Covering:
- IoT Analytics business cases
- IoT & Analytics platform
- Examples and tecnical description.
[IoTs & Wearables] Future proof your business for the Wearables & Internet of...Globant
By Mariano Vassallo (Technical Director, Wearables & Internet of Things Studio @Globant) & Santiago Piacenza (Product Director, Wearables & Internet of Things Studio @Globant)
social distance shopping using embedded system based auto and android app .pptxVELUDANDIAKASH
Revolutionizing the shopping experience, our innovative solution, 'Social Distance Shopping,' seamlessly integrates cutting-edge technology to enhance safety and convenience. Leveraging the power of embedded systems and an intuitive Android app, this novel shopping approach ensures a secure and efficient shopping journey in today's dynamic world.
At its core, the embedded-based auto cart is the heart of this transformative concept. Designed with state-of-the-art sensors, cameras, and navigational capabilities, the auto cart intelligently maneuvers through the store, guided by the Android app. Shoppers can effortlessly sync their shopping lists, locate items, and even request real-time assistance via the app. This dynamic synergy between the auto cart and the app minimizes physical contact and fosters a touch-free shopping environment.
A key highlight of this innovation is its ability to enforce social distancing. The embedded sensors monitor the proximity of other shoppers and obstacles, automatically adjusting the cart's speed and direction to maintain a safe distance. This not only prioritizes the health of customers but also offers peace of mind during the shopping journey.
The Android app serves as a personalized shopping companion. Users can conveniently browse store aisles virtually, locate products efficiently, and even receive promotional offers tailored to their preferences. The app also facilitates contactless payment, reducing the need for physical cash handling or card swiping.
'Social Distance Shopping' not only embraces the 'new normal' but also shapes a shopping experience that is safer, more convenient, and technologically advanced. By seamlessly blending embedded systems and user-friendly software, this solution ushers in a new era of shopping-one that prioritizes health, minimizes physical contact, and enhances overall customer satisfaction. As we navigate the challenges of the present, 'Social Distance Shopping' points the way forward for a smarter and safer retail landscape.
Tags:
#Social Distance Shopping
#Embedded Systems
#Auto Cart
#Android App
#Retail Technology
#Contactless Shopping
#Shopping Innovation
#Technology in Retail
#Social Distancing Solutions
#Mobile Applications
#Retail Automation
#Contactless Payments
#Smart Carts
#Shopping Experience
#Internet of Things (IoT)
#Retail Safety
#Shopping Convenience
#Retail Trends
#Customer Experience
#Innovation in Shopping
What if Things Start to Think - Artificial Intelligence in IoTMuralidhar Somisetty
Artificial intelligence will be functionally necessary to wield the vast number of connected “things” online, and will be even more important in making sense of an almost endless sea of data streamed in from these devices.
Development and implementation of a miniature RFID system in a shopping mall ...IJECEIAES
The advancement of technology has brought about the need for industrial innovation. One area where innovation is required in a developing country is in the retail industry (this is the focus point of this project) where the present system that is the barcode technology is old and archaic. This project is based on the use of Radio Frequency Identification (RFID) technology to create a faster, easier and more secured checkout system. This paper showcases the development of a miniature RFID desktop application that can be used for registering items coming into a shopping mall, checking out of goods bought from the shopping mall and the detection of an attempt to steal goods from the shopping mall, using both C# programming language and MySQL for the database management.
Similar to Object Management Platform Sales Kit (20)
2. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Current Situation of the Industry
Gartner’s statistics: The number of smart, connected
devices in the world have reached 10.3 million in
2014, and is projected to hit 30 million in 2020.
The most optimistic IoT market is the Asia-
Pacific region. IDC forecasts that the global
market share for the Asia-Pacific region will be
51.2% in 2020, and the local smart, connected
markets in Taiwan is projected to reach
US$290 million.
Global market dynamics: Smart, connected products are changing the
competition. Whichever domain there is, smart, connected products and its
ecological system is going to play significant roles in the coming few years, giving new
looks to enterprises, and their markets continue to be optimistic.
Source: Compiled by Intelligence Circulation Team, Institute for Information Industry
3. FIND, III Smart Retail Team,2016。
FIND
Smart Retail 3
How to manage the growing number of IoT
objects?
4. FIND, III Smart Retail Team,2016。
FIND
Smart Retail 4
Object
Management
Platform
Four Major Characteristics of
Object Management Platform
Unitary device
management interface
A unitary backstage
manages all devices within
a given physical domain.
Manage devices with the
concept of “domain”
Through the concept of business
district, massive amount of
devices are categorized and
managed accordingly.
Connecting smart,
connected devices
through API
Able to connect IoT objects such
as digital billboard, Beacon,
temperature and humidity
sensor, infrared people sensor.
Automatic reporting
mechanism when
the device
abnormality occurs
Ensure the service’s usability
by keeping track of front-end
devices in real time.
Create a ”Monitoring Mechanism for
Real-Time IoT Objects and Services”
5. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Function Structure
Object Management
Platform
Beacon
management
Signage
management
Object trigger
setup
Beacon
sensor range
setup
Object ID
management
IoT service
management
Object
deployment
business
district
management
User
management
6. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Skeleton Structure of
Object Management Platform
Back-end
Server
Shopping Mall
Wifi
Digital billboard
(API embedded)
Internet
Temperature and
humidity sensing
Infrared people sensing
Mediator(API embedded)
App(API embedded)
Beacon
Web DB
Mgt. Web
7. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Object Management Platform: Scenarios of
Usage1. Retailers in the new
domain joins the platform
Our party will evaluate shops on
retail environment, types of
products sold, and business
models, etc., and give them
feedbacks on their services.
2. Registration for objects in
the domain
Through simple instruction on
platform operation, the retailers
in the domain can follow the steps
to register and log into the
platform.
3. Obtain API and the monitor
program on the billboard-end
Retailers can obtain corresponding
API and the monitor program on the
billboard-end based on their needs
and our suggestions.
4. Bury in API and the monitor
program on the billboard-end
Retailers can bury the obtained
API into the APP or backstage
host, and embed the monitor
program into the billboard host
and setup.
5. Domain service begins
the operation
Domain service begins the
operation, and pass the data
back to our host through
API.
6. Backstage smart analysis
Through smart analysis at the back-
end management platform, we
provide the suggestions for
deployment revision as a reference,
or evaluate the effectiveness of the
object usage.
7
O.M.P.
Client Application
新光三越百貨
世貿展覽館
寒舍艾美酒店
威秀影城
ATT4Fun
北市府公園
臺北101
誠品書店
市府捷運站
/統一阪急
Windows 2008 Server
WAMP
Apache+MySQL+PHP
Server MobileAPPs
1
2.1
2.2
服務
場域
iii
虛擬主機
8. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Specifications for Software & Hardware
Specifications for Software
OS Windows Server 2008
R2 64 bit
DB My SQL 5.7.12.0
FTP Xlight FTP Server
Server Apache Tomcat 7.0
Specifications for Hardware
CPU XEON dual cores with
four threads
RAM 8 GB
ROM 100 GB
Estimated flow per
month
10 GB
9. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
A Real-life Case
Time:
February 23, 2016
Place:
International Conference Center, National
Taiwan University Hospital
Description of Scenario:
5 Beacons, 2 digital billboards, 2 sets of
infrared people sensor, 2 sets of temperature
and humidity sensor are set up at the scene,
all of which are embedded into the object
management platform API.
10. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Results from Empirical Evidence (1/4)
Statistic value of infrared people sensors
Numbers of people entering and exiting
11. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Results from Empirical Evidence (2/4)
Data reported from temperature and humidity sensor
(Updated every 10 seconds)
12. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Results from Empirical Evidence (3/4)
IoT object _ Beacon real-time update of counts of sensor
13. FIND, III Smart Retail Team,2016。
FIND
Smart Retail
Results from Empirical Evidence (4/4)
IoT object _ digital billboard real-time frame update