加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
An open-source example project demonstrating how to capture images and stream video using the ESP32-CAM module, with basic image processing capabilities.
This project provides firmware examples and a basic web interface to showcase the capabilities of the ESP32-CAM module for embedded vision applications, focusing on streaming and image capture.
Setting up reliable image capture and streaming on low-cost embedded devices like the ESP32-CAM can be complex. This project offers a functional starting point and illustrates common patterns for embedded vision applications.
Provides a live video feed from the ESP32-CAM module accessible via a web browser.
Allows capturing still images and saving them to an inserted SD card.
Includes a basic implementation for detecting motion in the video stream.
The project's code and examples can be adapted for various embedded vision and monitoring applications:
Deploy a low-cost camera for monitoring entrances or specific areas, sending alerts or streaming video when motion is detected.
Provides an affordable and customizable alternative to commercial security cameras.
Set up cameras to remotely monitor the status of plants, pets, or critical equipment via a simple web interface.
Enables convenient remote access to visual information without needing complex infrastructure.
You might be interested in these projects
OpenBao provides a robust and secure platform for managing, storing, and distributing sensitive data such as API keys, passwords, certificates, and encryption keys across dynamic infrastructure.
Monibuca is a high-performance, modular, and extensible Go-based framework for building custom streaming media servers. It supports various protocols and provides a flexible architecture for developers.
Provides official code and tools for running inference with FLUX.1 AI models. This repository serves as the primary resource for deploying and utilizing FLUX.1 models in various applications.