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ANDROID basedon Embedded System
CONVENIENCE PROBE: A PHONE-BASED SYSTEM FOR
RETAIL TRADE-AREA ANALYSIS
ABSTRACT
Embedded systems are commonly found in consumer, cooking, industrial,
automotive, medical, commercial and military applications. Telecommunications
systems employ numerous embedded systems from telephone switches for the
network to cell phones at the end-user. Computer networking uses dedicated
routers and network bridges to route data.
Consumer electronics include personal digital assistants (PDAs), mp3
players, mobile phones, videogame consoles, digital cameras, DVD players, GPS
receivers, and printers. Household appliances, such as microwave ovens, washing
machines and dishwashers, include embedded systems to provide flexibility,
efficiency and features. Advanced HVAC systems use networked thermostats to
more accurately and efficiently control temperature that can change by time of day
and season. Home automation uses wired- and wireless-networking that can be
used to control lights, climate, security, audio/visual, surveillance, etc., all of
which use embedded devices for sensing and controlling.
Systematically and quantitatively determining patterns in consumer flow is
an important problem in marketing research. Identifying these patterns can
facilitate an understanding of where and when consumers purchase products and
services at physical retail shops. Collecting data on real consumers who shop at
retail stores is one of the most challenging and expensive aspects of these studies.
This article introduces Convenience Probe, a phone-based data collection system
for retail trade-area analysis.
ANDROID basedon Embedded System
The proposed method targets local residents shopping at neighborhood
convenience stores. This study deploys and tests the system by collecting real
customer flow data in neighborhood convenience stores. Results show that the
consumer flow data collected from the Convenience Probe system is comparable to
that from a traditional face-to-face interview method.
PROPOSED SYSTEM:
In this paper, we are going to implement that a phone-based system
for retail trade-area analysis. Here we are using load cell, which is used for analyze
the count of the item and RFID used for read the rate of the item which is placed in
the trolley. When we want remove any item, just click the key then show the item
near the RFID reader then the item removed from the total item. And we can see
this reading and bill amount in mobile via Bluetooth.
BLOK DIAGRAM:
TRANSMITTERSECTION:
MICRO
CONTROLLER
LOAD CELL
ADC
RFID
BLUETOOTH
UART
LCD
ANDROID basedon Embedded System
RECEIVER SECTION:
HARDWARE REQUIREMENTS:
 MICROCONTROLLER
 LOAD CELL
 BLUETOOTH
 UART
 LCD
 MOBILE
SOFTWARE REQUIREMENTS
 keil Compiler
 Proteus software

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Andriod 1. CONVENIENCE PROBE: A PHONE-BASED SYSTEM FOR RETAIL TRADE-AREA ANALYSIS

  • 1. ANDROID basedon Embedded System CONVENIENCE PROBE: A PHONE-BASED SYSTEM FOR RETAIL TRADE-AREA ANALYSIS ABSTRACT Embedded systems are commonly found in consumer, cooking, industrial, automotive, medical, commercial and military applications. Telecommunications systems employ numerous embedded systems from telephone switches for the network to cell phones at the end-user. Computer networking uses dedicated routers and network bridges to route data. Consumer electronics include personal digital assistants (PDAs), mp3 players, mobile phones, videogame consoles, digital cameras, DVD players, GPS receivers, and printers. Household appliances, such as microwave ovens, washing machines and dishwashers, include embedded systems to provide flexibility, efficiency and features. Advanced HVAC systems use networked thermostats to more accurately and efficiently control temperature that can change by time of day and season. Home automation uses wired- and wireless-networking that can be used to control lights, climate, security, audio/visual, surveillance, etc., all of which use embedded devices for sensing and controlling. Systematically and quantitatively determining patterns in consumer flow is an important problem in marketing research. Identifying these patterns can facilitate an understanding of where and when consumers purchase products and services at physical retail shops. Collecting data on real consumers who shop at retail stores is one of the most challenging and expensive aspects of these studies. This article introduces Convenience Probe, a phone-based data collection system for retail trade-area analysis.
  • 2. ANDROID basedon Embedded System The proposed method targets local residents shopping at neighborhood convenience stores. This study deploys and tests the system by collecting real customer flow data in neighborhood convenience stores. Results show that the consumer flow data collected from the Convenience Probe system is comparable to that from a traditional face-to-face interview method. PROPOSED SYSTEM: In this paper, we are going to implement that a phone-based system for retail trade-area analysis. Here we are using load cell, which is used for analyze the count of the item and RFID used for read the rate of the item which is placed in the trolley. When we want remove any item, just click the key then show the item near the RFID reader then the item removed from the total item. And we can see this reading and bill amount in mobile via Bluetooth. BLOK DIAGRAM: TRANSMITTERSECTION: MICRO CONTROLLER LOAD CELL ADC RFID BLUETOOTH UART LCD
  • 3. ANDROID basedon Embedded System RECEIVER SECTION: HARDWARE REQUIREMENTS:  MICROCONTROLLER  LOAD CELL  BLUETOOTH  UART  LCD  MOBILE SOFTWARE REQUIREMENTS  keil Compiler  Proteus software