Warehouse Inventory Management: Drone-Powered Semi-Automation with Raspberry Pi and Network Integration
Satyam Pawale, Harish Kunder, P Prajwal, D J Shriprasad, S. Vinay · 2024
Economic growth and the rapid expansion of e-commerce globally are driving the increasing demand for smart warehouses with advanced inventory management systems. The integration of IoT with aerial drone-based inventory mapping has recently emerged as a pivotal development, offering safer and faster access to inventory across various warehouse scales. This study introduces a semi-automated inventory management methodology within warehouse settings, leveraging the synergy of Raspberry Pi, Pixhawk flight controllers, and an array of sensors. The proposed system captures and transmits real-time data using AI and networking technologies, empowering with SOM, warehouse managers to optimize inventory tracking and storage conditions. By recognizing the essential role of human engagement, this study bridges the gap between cutting-edge technology and human expertise, fostering a collaborative and efficient warehouse environment.