WEIGHING MACHINE PROJECT – Mobile App integration with Weighing machine
Weighing Machine Project – Smart Digital Weight Management System
The Weighing Machine Project is an advanced IoT-enabled digital weighing management system designed to simplify and automate the process of recording, managing, and tracking weights in real time. Ideal for agriculture, warehouse, and industrial applications, it ensures complete accuracy, offline support, and seamless data synchronization.
Built with a secure role-based access system, the platform enables admins and workers to perform specific tasks smoothly using a JWT-based authentication model. Admins can easily manage batches, farmers, and workers, while workers can record and sync weights directly from connected machines.
Core Features (Phase 1 – Platform):
Authentication & Authorization: Secure login for Admins and Workers with role-based access.
Worker Management: Create, activate, and assign workers to batches.
Farmer Management: Auto-generate farmer codes with validation and quick search functionality.
Batch Management: Create and assign batches, define weight limits, and monitor batch activity.
Weight Record Management: Capture accurate weights with machine and server timestamps, prevent duplicates, and auto-calculate status (Under / Valid / Over).
Dashboard: Get real-time batch stats and daily totals for both Admins and Workers.
Reports: Generate batch-wise and date-range reports with Excel export support.
Offline Support: Operate smoothly even without internet using local storage (SQLite) and background sync once online.
Phase 2 – Smart Machine Integration:
Hardware Connectivity: Supports RS232 serial communication and OTG USB for live machine data.
Real-Time Weight Capture: Stable weight detection, duplicate prevention, and auto submission.
Sync Engine: Bulk syncing with deduplication, retry on failure, and queue-based local backup.
This Weighing Machine Software Solution is crafted for industries looking to boost efficiency and eliminate manual errors in weight recording. With built-in offline support and machine integration, it ensures uninterrupted operations and precise data handling — from field to cloud.
