Human Detection System Using ESP32 Camera
Project information
- Category: Internet of Things, Machine Learning
- Project date: November 2022
- Project URL:
- The proposed framework utilizes machine learning techniques, a camera, and the Internet of Things (IoT) to make daily tasks easier. The framework is implemented using ESP32-CAM, TensorFlow, and GoogleAPI. The project addresses the issue of finding a study space in the overcrowded libraries of Arizona State University's Tempe campus.
- The proposed human detection system uses machine learning algorithms and computer vision to detect humans, and can be paired with IoT devices to solve this issue.
- The framework is divided into five main parts: Pre-trained COCO dataset, TensorFlow Model, ESP32-CAM with FTDI module, HTML Webpage running on local host. The project demonstrates the practicality of the suggested framework while showing a plethora of possibilities. Although heavy processing takes time and sometimes the system freezes, the trials carried out confirm the potential of the proposed framework.
- Overall, the proposed framework offers a quick solution for making daily tasks easier using machine learning and IoT technologies.
