AI-Based Smart Delivery System Using Image Processing and Computer Vision

Abstract

Rapid growth in e-commerce and logistics has created a need for intelligent systems to optimize delivery operations. This paper proposes an AI-based smart delivery system leveraging computer vision to recognize packages and improve efficiency. An ESP32 microcontroller performs real-time object detection using images from an OV7670 camera module. Open-source libraries like OpenCV and TensorFlow enable processing algorithms for detection and classification. Key benefits include accurate labeling, routing, and sorting of packages, reducing human errors and delays. The modular design allows integration with tracking devices and transportation mechanisms for end-to-end automation. Limitations around transparency and lighting conditions are outweighed by the potential for scalability across sectors like food delivery, healthcare logistics, and transportation. With further development, such AI-powered systems can transform traditional supply chains into intelligent, self-regulating delivery ecosystems, providing visibility and reliability. This paper provides practical frameworks to build low-cost solutions using accessible hardware and software tools.