wise-barcode

byPooran Kumhar

Mobile camera barcode scanner to scan product/barcode. After scanning, open a form with these fields: Barcode Number (auto capture from scan) Box Number (manual input) Shipment Name (manual input/dropdown) Date & Time (auto capture) User Name / Packer Name Save all entries in a database. Show success message after saving. Add search option to find records by barcode, box number, or shipment name. Add export option for Excel/CSV report. Dashboard should show total scanned boxes and shipment-wise count. UI should look modern, fast, and easy for warehouse workers. Add login page with user ID and password. Support dark mode and light mode. Large buttons and simple layout for easy use during packing/dispatch operations. Include sound/vibration confirmation after successful barcode scan. App should work smoothly on low internet and also support offline data saving with sync later. Technology suggestion: Frontend: Flutter or React Native Backend: Firebase / Node.js Barcode Scanner: ZXing or ML Kit Database: Firebase Firestore / MySQL

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System Requirements

System Requirement Document
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wise-barcode

Introduction

The "wise-barcode" project is designed to streamline warehouse operations by providing a mobile application that utilizes barcode scanning technology. This application is tailored for warehouse workers in India, focusing on ease of use, efficiency, and modern design elements to enhance productivity during packing and dispatch operations.

System Overview

The wise-barcode system is a mobile application that enables users to scan barcodes using their device's camera. Upon scanning, the application captures essential data and allows users to input additional information, which is then stored in a database. The system supports both online and offline modes, ensuring data can be saved and synchronized later when internet connectivity is available. The application also includes features for searching records, exporting data, and viewing a dashboard with key metrics.

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Functional Requirements

  • As a User, I should be able to scan barcodes using the mobile camera.
  • As a User, I should see a form with fields for Barcode Number (auto-captured), Box Number (manual input), Shipment Name (manual input/dropdown), Date & Time (auto-captured), and User Name/Packer Name after scanning.
  • As a User, I should be able to save all entries in a database.
  • As a User, I should see a success message after saving data.
  • As a User, I should be able to search records by barcode, box number, or shipment name.
  • As a User, I should be able to export records to Excel/CSV format.
  • As a User, I should see a dashboard showing total scanned boxes and shipment-wise count.
  • As a User, I should be able to log in using a user ID and password.
  • As a User, I should be able to switch between dark mode and light mode.
  • As a User, I should experience sound/vibration confirmation after a successful barcode scan.
  • As a User, I should be able to use the app smoothly on low internet and save data offline with sync later.

User Personas

  • Warehouse Worker: Primary user responsible for scanning barcodes and entering shipment details.
  • Supervisor: User responsible for overseeing operations and approving API interactions.
  • Admin: User with access to all features, including user management and system settings.
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Visuals Colors and Theme

  • primary: #1A73E8 (a vibrant blue for brand identity)
  • primary_light: #E8F0FE (a lighter blue for hover states)
  • secondary: #FF7043 (a warm coral for headlines and emphasis)
  • accent: #F4B400 (a bright yellow for CTAs and active states)
  • highlight: #FBBC05 (a golden hue for notifications and indicators)
  • bg: #FFFFFF (a clean white for the background)
  • surface: rgba(255, 255, 255, 0.9) (a semi-transparent white for panels)
  • text: #202124 (a dark gray for primary text)
  • text_muted: #5F6368 (a lighter gray for secondary text)
  • border: rgba(218, 220, 224, 0.5) (a subtle gray for borders)

Signature Design Concept

The wise-barcode app will feature an interactive "Warehouse Journey" landing page. Users will navigate through a virtual warehouse environment where each section of the app is represented by different areas of the warehouse. For example, scanning a barcode will take users to the "Receiving Dock," where they can input shipment details. The dashboard will be located in the "Control Room," providing a comprehensive view of operations. This concept will be brought to life using @react-three/fiber for 3D navigation and framer-motion for smooth transitions and animations. Users can click, drag, and hover to explore different sections, making the experience engaging and intuitive.

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Interaction Model & Motion Direction

The landing page will use a "parallax" interaction model, creating a layered depth effect as users scroll through the virtual warehouse. Decorative elements, such as moving forklifts and shifting pallets, will translate at different speeds, while the main content scrolls naturally. Internal pages, like forms and dashboards, will adopt a "static" model for clarity and ease of use, with minimal motion to maintain focus on data entry and review.

Non-Functional Requirements

  • The application must support both Android and iOS platforms.
  • It should function efficiently on devices with low internet connectivity.
  • The system must ensure data integrity and security during offline storage and synchronization.
  • The user interface should be responsive and accessible, with large buttons and a simple layout.

Tech Stack

  • Frontend: Flutter or React Native
  • Backend: Firebase or Node.js
  • Barcode Scanner: ZXing or ML Kit
  • Database: Firebase Firestore or MySQL

Assumptions and Constraints

  • The application will primarily be used by warehouse workers in India.
  • The system must comply with local data protection regulations.
  • The app should be optimized for quick loading times and minimal data usage.
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Glossary

  • Barcode: A machine-readable code in the form of numbers and a pattern of parallel lines of varying widths.
  • ZXing: An open-source, multi-format 1D/2D barcode image processing library.
  • ML Kit: A mobile SDK that brings Google's machine learning expertise to Android and iOS apps.
  • Firebase Firestore: A scalable, flexible database for mobile, web, and server development from Firebase and Google Cloud Platform.
Landing design preview
Landing: View App
Login: Sign In
Dashboard: View Stats
Dashboard: View Shipment Counts
Records: Search Records
Records: Export Report
UserManagement: Manage Users
UserManagement: Add User
UserManagement: Edit User
Settings: Configure System
Settings: Toggle Dark Mode
Scanner: Scan Barcode
ScanForm: Save Entry