Abstract:
Manual inventory validation in warehouse environments often leads to significant
inefficiencies and human error. This project addresses these challenges by designing and
implementing a real-time, automated inventory validation module for a smart warehouse
system. The system integrates a load cell for precise weight measurement, a QR code
scanner for accurate label identification using ESP32 Cam for the camera, and an
Arduino Mega 2560 R3 microcontroller to manage conveyor belt operations. This
integrated approach automates the validation process by cross-referencing an item's
measured weight and scanned QR code data. Verified inventory records are then
transmitted to a central backend system using the MQTT protocol. By automating these
checks, the system significantly enhances validation accuracy, reduces manual labor, and
enables seamless, real-time data processing for more efficient warehouse management.
