Beyond Inventory: A Java-Based Barcode Scanning System for Real-Time Product Authentication and Fraud Detection
Keywords:
Barcode scanner, Consumer trust and financial risks, Counterfeit products, Fraud detection, Internet of Things (IoT), Inventory management, Online barcode detection system, Product authenticationAbstract
In contemporary retail environments, the barcode scanner is commonly perceived as a tool solely for inventory management, overlooking its potential for addressing more critical concerns such as fraud detection and product authentication. What is the exact use of barcode scanner? Just to scan it for keeping note of items sold in a shop! Well, if your thinking is only limited to this perspective then you needs to expand your imagination. Have you ever thought that barcode can be used to detect fraud products by comparing its details as well as authenticity? Our project is based on the principle of fraud detection of products using barcode scanner. In current era, fraudulent activities exploiting barcode vulnerabilities have surged. Common man is unaware of the fraudulent products and hence is berefted. Hence, there is a comprehensive need for an online barcode detection system to safeguard users and businesses from the repercussions of counterfeit products, unauthorized transactions, and compromised data.
For Barcode Scanner, Java software named Netbeans containing Java SE Development Kit (JDK-22) is used. The project not only reads the barcode but also generates barcode by a given number. Java programming language is used to generate or decode a barcode by using ZXing libraries. To emphasize more on the topic, a Java dictionary is created for comparing details of the original project and if the details match with the output, a message of authentic product pops else the product is considered as fake product or product not found. Topic uses AI tools like ChatGPT, Gemini, Chat AIBot etc and IOT. Content is also extracted from research papers from Google scholar, ScienceDirect and IEEE.
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