PackSort

Baker Razi Wael Yaeesh; Mohammad Maher Mohammad Himuni

PackSort

dc.contributor.author	Baker Razi Wael Yaeesh
dc.contributor.author	Mohammad Maher Mohammad Himuni
dc.date.accessioned	2026-02-04T09:19:18Z
dc.date.available	2026-02-04T09:19:18Z
dc.date.issued	2026
dc.description.abstract	This project presents the design and implementation of an intelligent automated sorting system capable of categorizing packages based on multiple parameters including barcode data, color, and physical dimensions. The system integrates an Arduino Mega as the central processing unit with a specialized Arduino Uno for barcode processing, creating a robust distributed control architecture. The sorting mechanism employs a conveyor belt powered by a DC wiper motor controlled through a BTS7960 driver module, with package diversion accomplished using servo-actuated pusher arms. Detection subsystems include an omnidirectional barcode scanner for package identification, TCS3200 color sensors for color recognition, ultrasonic sensors for dimensional analysis, and IR sensors for position tracking. A significant feature of this system is its flexible multi-mode operation, allowing sorting based on seven different criteria combinations: size alone, color alone, barcode alone, color and size, barcode and color, barcode and size, or all three parameters simultaneously. The system incorporates multiple fail-safes including an emergency stop button and comprehensive error handling protocols. For power efficiency, the system also includes an automatic shut-off feature: if no packages are detected on the conveyor for 2 minutes, the system powers down automatically until new activity is detected. Human-machine interface is provided through a keypad and LCD display for local control, while an ESP32 microcontroller enables wireless connectivity for remote monitoring and operation via a custom-developed Flutter mobile application. This mobile interface provides real-time package statistics and system status updates, enhancing operational visibility. This automated sorting solution demonstrates significant improvements in efficiency and accuracy over manual sorting methods, with potential applications in logistics centers, postal services, and industrial packaging facilities. The modular design allows for adaptation to various sorting criteria and operational requirements, making it a versatile solution for modern package handling challenges.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/20810
dc.supervisor	Dr. Abdallah Rashed
dc.title	PackSort