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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68482
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Department of information technology
Priyadarshini college of engineering, Nagpur

Department of information technology
Priyadarshini college of engineering, Nagpur

Department of information technology
Priyadarshini college of engineering, Nagpur

Department of information technology
Priyadarshini college of engineering, Nagpur
Department of information technology
Priyadarshini college of engineering, Nagpur
Department of information technology
Priyadarshini college of engineering, Nagpur

Department of information technology
Priyadarshini college of engineering, Nagpur
The Automated Vegetable Detection and Billing System is an intelligent retail solution designed to automate vegetable identification, weight measurement, price calculation, and bill generation using artificial intelligence and embedded system technology. The proposed system uses a camera module to capture images of vegetables and the YOLOv8 object detection algorithm to identify and classify different vegetable categories. A load cell connected to an HX711 amplifier measures the weight of vegetables, while the ESP32 microcontroller coordinates sensor readings and billing operations. Based on the detected vegetable category, measured weight, and predefined price per kilogram, the system calculates the total cost and displays billing details on an LCD or OLED screen. This approach reduces manual effort, minimizes billing errors, and improves checkout efficiency in supermarkets, grocery stores, and vegetable retail shops. The system can be further enhanced with digital payments, automatic receipt generation, and inventory management to support smart retail automation.
KEYWORDS
The Automated Vegetable Detection and Billing System integrates artificial intelligence, computer vision, and embed-ded system technology to simplify vegetable retail billing operations. By combining YOLOv8-based vegetable recognition with load cell-based weight measurement and automatic price cal-culation, the system offers a convenient alternative to tradi-tional manual billing methods. The ESP32 manages sensor interfacing and display opera-tions, while a connected computer or suitable edge-processing device executes the vegetable detection model. The system is designed to improve billing speed, reduce hu-man errors, and provide clear billing information to customers and shopkeepers. With further improvements in detection accuracy, sensor calibration, and system integration, the system can be en-hanced with digital payments, receipt generation, inventory management, and cloud-based transaction records. These improvements can make the proposed system a promising solution for smart retail applications.
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Publication Date
10/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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