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FUTURE OF RETAIL SMART BILLING AND SELF-CHECKOUT WITH CAPER''S AI-POWERED COUNTER

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FUTURE OF RETAIL SMART BILLING AND SELF-CHECKOUT WITH CAPER''S AI-POWERED COUNTER

ORDINARY APPLICATION

Published

date

Filed on 18 November 2024

Abstract

ABSTRACT FUTURE OF RETAIL: SMART BILLING ANI) SELF-CHECKOUT WITH CAPER'S AI-POWEREI) COUNTER The Auto bill project aims to revolutionize the retail experience by seamlessly integrating cutting-edge technology into the traditional checkout process. At its core, the system employs advanced image recognition capabilities within a specially designed cabinet to swiftly identify items placed on it. Concurrently, precision load cells measure the weight of each item, providing not only identification but also accurate quantity assessment. This data is then intelligently processed to determine the total number of items or the weight of individual products, such as apples, ensuring an efficient and accu;atc transaction process. The user interface, characterized by _its elegance and intuitiveness, serves as the primary poiut of interaction betw~~n the syst~l11 and the us~r. oflcring a seamless and hassle-free experience. Once the items are identitied and quantilied, the · system generates a unique QR code, enabling customers to conveniently complete· their· purchase through secure digital payment 111ethuds. Oy combining recognition, weight measurement technology, and a sleek user interlace, the Auto hill project not only enhances the efliciency of retail transactions but also elevates the overall shopping experience for customers, .marking a significant leap forward in the realm of automated checkout systems. Keywords: Raspberry Pi Model3 8+, OV5647, Load Cell ( 0- IOkg), I-IX711 Amplilier, Arduino UNO ·

Patent Information

Application ID202441089116
Invention FieldCOMPUTER SCIENCE
Date of Application18/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
Dr. R.MADHANAS.A ENGINEERING COLLEGE, ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM, CHENNAI-600077.IndiaIndia
K. S. MARGARETS.A ENGINEERING COLLEGE,ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM,THIRUVERKADU, CHENNAI-600077.IndiaIndia
K. VIJAYAKUMARS.A ENGINEERING COLLEGE,ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM,THIRUVERKADU, CHENNAI-600077.IndiaIndia

Applicants

NameAddressCountryNationality
Dr. R. MADHANAS.A ENGINEERING COLLEGE ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM, CHENNAI-600077. margaret.reena@gmail.com 9994074972IndiaIndia
K.S.MARGARETS.A ENGINEERING COLLEGE ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM, CHENNAI-600077. margaret.reena@gmail.com 9500118877IndiaIndia
K. VIJAYAKUMARS.A ENGINEERING COLLEGE ASSISTANT PROFESSOR, DEPARTMENT OF EEE, POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM, CHENNAI-600077. vijayfriendly@gmail.com 9003130067IndiaIndia
S.A ENGINEERING COLLEGES.A ENGINEERING COLLEGE POONAMALLEE AVADI MAIN ROAD, VEERARAGAVAPURAM,THIRUVERKADU, CHENNAI-600077.IndiaIndia

Specification

FUTURE OF RETAIL: SMART BILLING AND SELF-CHECKOUT CAPER'S AI-POWERED COUNTER
FIELD OF INNOVATION
This invention relates to the field of Artificial Intelligence
HISTORY OF THE INVENTION ·
The current manual billing system, characterized by its reliance on manpower and
time-consuming processes, presents numerous disadvantages for both businesses and customers
alike. With human operators tasked with scanning items, entering prices, and processing payments,
the system is inherently prone to errors and inetliciencies. Long queues at checkout counters
during peak hours frustrate customers and diminish overall satisfaction. Moreover, the S)'stem's
scalability· is limited, hindering businesses' ability to accommodate growing demand and resulting
in bottlenecks. Human error further compounds issues, leading to inaccurate transactions and
potential financial losses. Additionally, the lack of real-time data insights deprives businesses of
valuable information for decision-making, such as customer purchasing behavior and iiwentory.
management. ·As such, the need for innovation and automation, exemplified by projects like Auto
bill, becomes increasingly evident, promising streamlined processes, reduced costs, and ·~11:
enhanced shopping experience for all involved.
OBJECTIVE OF THE WORK
The objective of the Auto bill project is to revolutionize the retail checkOLit process bv
leveraging advanced technologies such as image recognition, weight measurement, and OR code
geheration. l:ly seamlessly integrating these technologies into a single, elegant system, the project
aims to enhance the e11iciency and accuracy of transactions while providing a convenient and
seamless experience tor customers. Ultimately; the goal is to streamline the checkout process,
reduce wajting times, and improve overall customer satisfaction in retail environments.
DESCRIPTION OF THE DRAWING
The drawing consists of the following modules:
A Load Cell connected to an HX711 amplifier
An OV5647 camera module for capturing images
Edge Impulse to recognize items
Software renderer for graphical user interface (GUI)
Autobill Ul
VNC Viewer component
Google.Pay UPI -Digital payment platform
Raspberry Pi 'Model
DETAILED DESCRIPTION OF THE PRODUCT .
RASPBERRY PI MODEL 3 B+
The Raspberry Pi 3 Model B+ is a versatile single-board computer (SBC) designed for a
variety of applications ranging from hobbyist projects to industrial use. It features a 1.4GHz 64cbit
quad-core ARM Cortex-A53 processor, offering improved performance over its predecessors.
Coupled with I GB LPDDR2 SO RAM, the Pi 3 B+ can handle multitasking and demanding task's
efficiently. It retains the same form factor as the Raspberry Pi 2 Model B, ensuring compatibility
with existing accessories and cases.
The. Raspberry Pi 3 B+ runs on a variety of operating systems, including Raspbian, a
Debian-based distribuiion optimized for the Pi, as well as Ubuntu, Windows I 0 loT Core, ar1d
various Linux distributions. Its GPIO (General Purpose Input/Output) pins enable interfacing with
sensors, motors, and other external devices, making it suitable for loT (Internet of Things} projects
and electronics experimentation.
OV5647
The Raspberry Pi Camera OV5647 Rev 1.3 is a compact camera module designed
specifically for Raspberry Pi boards, offering users the ability to capture high-quality in1ages and.
videos for various applications. Equipped with the Omnivision OV564 7 sensor, this camera
provides a maximum resolution of5 megapixels (2592xl944 pixels) and supports both still images
·and video recording. The camera module is connected to the Raspberry Pi via a ribbon cable,
providing a simple and easy-to-use interface for integration into projects.
It featu'res a fixed-focus lens wiih an aperture of f/2.9, ensuring clear and sharp images in a
wide range of lighting conditions. Additionally, the camera supports various image effects and
adjustments, such as· brightness, contrast, and saturation, aliowing users to customize their
captured images. The OV564 7 Rev 1.3 camera module is capable of capturing video at resolutions ·
up to I 080p at 30 frames per second (fps), making it suitable for applications such as surveillance,
video str~arning, and video conferencing.
LOAD CELL
A load cell is a transducer used to convert a force or weight into an electrical signal. The·
load cell operates on the principle of strain gauges, which are small deviCes that change resistance
when subjected to m~chanical stress. Load cells are commonly used in industriar scales. Ioree
measurement devices, and various applications where accurate weight or force measurements are
required. The load cell typically consists of a metal structure with strain gauges attached in specific
locations. When a force is applied to the load cell, it causes the metal structure to deform s'lightly,
which in turn ~hanges the resistance of the strain gauges. This change in resistance is proportional
to the appl_ied force and is measured using a Wheatstone bridge circuit.
Load cells come in various types and configurations,- including compression, tension, ·shear, and·
bending beam load cells, each suited for different applications. They can measure loads ranging
from a few grams to several tons, with accuracies ranging from a fraction of a percent to betier
than 0.0 I%. Load cells often require calibration to ensure accurate measurements, and they niay
incorporate temperature compensation to account for environmental changes.
HX711 AMPLIFIER
The-HX711 is a precision 24-bit analog-to-digital converter (ADC) designed specifically for
weigh scales and industrial control applications. It incorporates a programmable gain amplifier
(PGA) and a high-precision delta-sigma ADC . to provide accurate and · stable weight
measurements. The HX711 is commonly used in conjunction with load cells to create digital scales.
or other weight measurement devices. The HX711 operates at low voltages (typically 2.7V to
s·.5V) and communicates with a microcontroller via a. simple two-wire serial interface (clock and.
· . data),. It uses a differential input to connect to the load cell, allowing for· better noise rejection and
improved accuracy. One of the key features of the HX711 is its adjustable gain, which allows it·to
amplify the tiny voltage signals from the load cell to a usable range for the ADC .. It otTers
selectable gains of 128x or 64x, which can be set using external resistors. In operation, the HX711
continuously samples the analog input from the load cell, performs the necessary amplification a1)d
filtering, and converts it to a digital output.
The HX711 also includes features like offset and gain compensation, which can be used to
·calibrate the .system and improve measurement accuracy. Additionally, ·it has a low .power
consumption mode, which makes it suitable for ballery-powered applications.Overall; ihe
HX711· a;nplifier is ·a versatile and cost-effective solution ·for interfacing load c~lls with
microcontrollers, allowing for precise and reliable weight measurements in a. wide range of
applications. Its ease of use, high accuracy, and flexibility make it a popular choice among
hobbyi.sts, engineers, and manufacturers alike.
ARDUINO UNO
Arduino UNO is a 8-bit microcontroller which uses· Atmega 328p or At mega 89C52 ·
Microcontroller , Arduino has different variants like Nano, Mega, Lilypad. Arduino UNO has·6·
Analog. input pins (AO-A5) and .14 digital Input/Output pins (0-13) and '6 Pulse Width
. Modulation(PWM) Pin~ which can be used as analog output pins . Arduino UNO can be
programmed using Avrdude programmer which is inbuilt in Arduino Integrated Development
Environment, the program will convert/translate C/C++ into Hex file which will be flashed into
Arduino.
Arduino can be interfaced to Personal Computer or Laptops using Universal Serial Bus
undergoing USART protocol- Universal Synchronous Asynchronous Receiver Transmitter which
has 4 pins· Vee, Groun.d , Tx , Rx. US ART can also implement to make a Master Slave co111iection
between Arduino and other sensors which supports US ART protocol . The advantage of US ART .
based ADC inbuilt sensors is that, it does not require· any Analog pins of the Arduino, we can just
use Rx and Tx pins i.e Pin 0 and I in ArdLiino UNO :In the same way wireless communication.
like Serial Bluetooth can also be done using the same Rx and Tx Pins.

FUTURE OF RETAIL: SMART BILLING AND SELF-CHECKOUT WITH
CAPER'S AI-POWERED COUNTER

·WE CLAIM
The Autobill project represents a groundbreaking innovation in the retail
industry, revolutionizing the traditional checkout process through the seamless .
integration of advanced technologies and elegant design principles.
l.Autobill streamlines the entire transaction process, from item identification to
payment, offering unparalleled efficiency, accuracy, and convenience for both
businesses and customers.
2.Through its sophisticated tmage. processtng module, Autobill accurately
identifies itern,s placed on the checkout cabinet, eliminating the need for
manual barcode scanning and reducing processing time.
· 3. The integration of load cells enables precise weight measurement, allowing
for real-time quantity assessment and accurate transaction calculations.·
4. Moreover, the generation of dynamic QR codes for secure digital paynients
enhances transaction security and expedites checkout, further enhancing the
customer experience.
S.The project's modular architecture ensures scalability, flexibility, and
maintainability, enabling seamless integration with existing retail infrastructure
and adaptability to evolving business needs.

Documents

NameDate
202441089116-Form 1-181124.pdf20/11/2024
202441089116-Form 2(Title Page)-181124.pdf20/11/2024
202441089116-Form 3-181124.pdf20/11/2024
202441089116-Form 5-181124.pdf20/11/2024
202441089116-Form 9-181124.pdf20/11/2024

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