Object Detection Using ESp 32-Cam

Abstract

Object detection has become an essential capability in modern automation, surveillance, and IoT-based systems. However, most traditional solutions rely on expensive hardware and high processing capacity, making them unsuitable for low-budget or portable applications. This project presents a compact and cost-effective object detection system designed using the ESP32-CAM module. The system captures real- time images through its onboard camera and performs detection either locally through lightweight algorithms or by transmitting frames to an external server for advanced processing. By integrating Wi-Fi connectivity, the ESP32-CAM enables remote monitoring, alert notifications, and seamless interaction with web or mobile interfaces. The project demonstrates how embedded vision can be achieved on a low-power microcontroller, offering an efficient, affordable, and scalable solution for applications such as security, automation, and smart IoT environments. The results highlight the potential of ESP32-CAM as a practical platform for deploying edge- based object detection in educational, prototype, and real-world use cases.