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Smart Mobile Autonomous Robotic Trolley with Intelligent Navigation and auto billing feature
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 5 November 2024
Abstract
The Smart Mobile Autonomous Robotic Trolley is a next-generation retail solution designed to enhance the shopping experience through autonomous navigation, real-time item tracking, and automatic billing. This system integrates advanced AI, sensors, RFID, and autonomous robotics technologies to provide a seamless, contactless shopping experience. The trolley autonomously navigates through the store, assists customers in locating products, and tracks items as they are added to the cart. The trolley uses real-time item detection through RFID or barcode scanning, calculates the total bill automatically, and enables contactless payment, eliminating the need for manual checkout and reducing wait times. Additionally, the trolley offers intelligent shopping assistance, providing recommendations, optimized routes, and personalized support to enhance customer convenience. Designed for both high-end retail environments and large-scale operations, the system also improves accessibility for elderly or disabled customers, offering a more inclusive shopping experience. By automating key retail processes such as checkout, item tracking, and navigation, the system reduces operational costs, increases store efficiency, and elevates the customer experience, making it ideal for supermarkets, shopping malls, and other retail environments.
Patent Information
Application ID | 202441084491 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 05/11/2024 |
Publication Number | 46/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Prof. Rupali Rameshrao Patil Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur | India | India |
Prof. Sachin M. Bhole Assistant Professor, Dept. of Mechanical Engg., DVBKCE, Malkapur | Dr. V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Dr. Yugesh A Associate Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Dr. Ritesh Sudhakar Fegade Assistant Professor, Dept. of Mechanical Engg., GSMCE, Maharashtra | Genba Sopanrao Moze College of Engineering, Balewadi, Pune-4110454. | India | India |
Prof. Santosh R. Shekokar Assistant Professor and Head of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Ramakant M Choudhari Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Nitin A. Kharche Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Manish P Aachliya Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Prof. Rupali Rameshrao Patil Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur | India | India |
Prof. Sachin M. Bhole Assistant Professor, Dept. of Mechanical Engg., DVBKCE, Malkapur | Dr. V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Dr. Yugesh A Associate Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Dr. Ritesh Sudhakar Fegade Assistant Professor, Dept. of Mechanical Engg., GSMCE, Maharashtra | Genba Sopanrao Moze College of Engineering, Balewadi, Pune-4110454. | India | India |
Prof. Santosh R. Shekokar Assistant Professor and Head of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Ramakant M Choudhari Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Nitin A. Kharche Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm. Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Prof. Manish P Aachliya Assistant Professor, Dept. of Mechanical Engg., Padm. DVBKCE, Malkapur | Padm.Dr.V.B. Kolte College of Engineering Malkapur, Sant Gadge Baba Amravati University | India | India |
Specification
Description:The Smart Mobile Autonomous Robotic Trolley in Fig. 1 and Fig. 2 is a cutting-edge retail solution designed to enhance the shopping experience by automating key aspects of navigation, item tracking, and billing. The system integrates autonomous navigation, real-time item detection, and auto billing technologies to provide a contactless, efficient, and user-friendly shopping process.
Key Components and Features:
1. Autonomous Navigation:
o The trolley is equipped with sensors, cameras, and lidar technology that enable it to autonomously navigate the store, avoiding obstacles and following customers as they shop. The system uses AI-based path planning algorithms to efficiently move through the store, helping customers locate products and ensuring smooth operation in busy environments.
2. Item Detection and Tracking:
o The trolley uses RFID or barcode scanning to detect items as they are placed inside. Each item is automatically recorded in the trolley's system, and the virtual shopping cart is updated in real time. The trolley continuously tracks the items, ensuring accuracy for the final billing process.
3. Real-Time Auto Billing:
o As the customer adds items to the trolley, the system calculates the total cost of the items in real time. Once the shopping is completed, the trolley generates a digital receipt and facilitates contactless payment through mobile wallets, NFC, or credit/debit cards, eliminating the need for manual checkout.
4. Intelligent Assistance:
o The trolley offers intelligent assistance, helping customers navigate the store more efficiently. It can provide shopping recommendations, guide customers to specific products based on a shopping list, or suggest optimized shopping routes.
5. Contactless and Accessible Shopping:
o The trolley is designed to operate autonomously, making it easier for elderly or disabled customers to shop without the need to push or maneuver a trolley. Its contactless functionality also ensures a hygienic shopping experience.
The Smart Mobile Autonomous Robotic Trolley is designed for high operational performance, ensuring a smooth, efficient, and user-friendly shopping experience. The system incorporates advanced robotics, AI, and real-time tracking technologies to optimize the shopping process, minimize errors, and reduce the need for manual intervention. Below are key aspects of its operational performance:
1. Autonomous Navigation and Movement
• Accuracy: The trolley utilizes a combination of lidar, cameras, and sensors for precise navigation through the store, ensuring it can follow the customer or independently move through aisles while avoiding obstacles.
• Speed and Efficiency: The trolley's navigation algorithms allow for real-time path planning and obstacle avoidance, ensuring quick and efficient movement through crowded or dynamic environments without causing delays or interruptions.
• Reliability: The system is robust and can operate seamlessly in high-traffic areas while maintaining smooth operation. It adapts to changes in the store environment, ensuring uninterrupted service even during busy shopping hours.
2. Real-Time Item Detection and Tracking
• Real-Time Response: The system instantly detects items placed into the trolley using RFID tags or barcode scanners, with the virtual cart being updated in real-time. This ensures accurate item tracking and eliminates the need for manual scanning, improving overall shopping speed.
• High Precision: The trolley ensures high accuracy in item detection, minimizing errors in recording items and billing. This accuracy reduces discrepancies in billing and ensures customer satisfaction.
3. Auto Billing and Payment
• Real-Time Calculation: As customers shop, the system continuously calculates the total bill, ensuring that by the end of the shopping journey, the customer has a real-time, accurate total of their purchases.
• Contactless Payment: The trolley supports contactless payment options, including mobile wallets, NFC, or credit/debit cards, allowing for fast and secure payment without the need for manual checkout. This eliminates the need for standing in line, speeding up the shopping process.
• Operational Efficiency: By automating the billing process, the system reduces the time spent on manual checkout, enhancing operational efficiency and enabling faster customer turnover, particularly during peak shopping hours.
4. Intelligent Assistance and Customer Support
• Smart Interaction: The system offers intelligent customer support, providing recommendations, guiding customers to items on their shopping list, and suggesting optimized shopping routes. This reduces time spent searching for items and enhances the overall shopping experience.
• Adaptability: The trolley can adapt to customer preferences and store layouts, offering personalized shopping experiences. It can suggest related items or provide promotional recommendations, creating a more tailored shopping experience for customers.
5. User-Friendly Design for Accessibility
• Ease of Use: The trolley is designed to be intuitive and user-friendly, requiring minimal input from customers. Its autonomous movement means that it can follow customers or move to designated points on its own, reducing physical strain, particularly for elderly or disabled customers.
• Accessibility: The system offers increased accessibility by eliminating the need for pushing or navigating a traditional trolley, making it easier for customers with mobility issues to shop independently.
, C , C , Claims:
1. We claim that this system automates the process of item detection using RFID tags or barcode scanning.
2. We claim that the system offers a contactless, autonomous trolley that assists customers throughout the shopping process.
3. We claim that the invention improves store efficiency
4. We claim that the system ensure that multiple trolleys can operate simultaneously in high-traffic environments.
Documents
Name | Date |
---|---|
202441084491-COMPLETE SPECIFICATION [05-11-2024(online)].pdf | 05/11/2024 |
202441084491-DECLARATION OF INVENTORSHIP (FORM 5) [05-11-2024(online)].pdf | 05/11/2024 |
202441084491-DRAWINGS [05-11-2024(online)].pdf | 05/11/2024 |
202441084491-FORM 1 [05-11-2024(online)].pdf | 05/11/2024 |
202441084491-FORM-9 [05-11-2024(online)].pdf | 05/11/2024 |
202441084491-REQUEST FOR EARLY PUBLICATION(FORM-9) [05-11-2024(online)].pdf | 05/11/2024 |
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