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734b5b410a
* Update project version to 2.2.1 and refactor camera component handling - Incremented project version from 2.2.0 to 2.2.1 in CMakeLists.txt. - Removed legacy esp32_camera component and replaced it with esp_video for ESP32-S3 and ESP32-P4 boards. - Updated board implementations to utilize the new esp_video component, ensuring compatibility and improved functionality. - Cleaned up Kconfig options related to camera selection, streamlining the configuration process. - Enhanced camera initialization logic across various board files to support the new component structure. * Refactor camera handling in AtomS3R CAM/M12 EchoBase board - Replaced the legacy EspVideo component with the new Esp32Camera class for improved camera functionality. - Updated camera initialization logic to utilize a more structured configuration approach, enhancing clarity and maintainability. - Removed outdated comments and code related to the previous camera implementation in the README file. * Update camera configuration for atoms3r-cam-m12-echo-base - Removed outdated camera configuration options from config.json to streamline the setup. - Retained essential partition table configuration for improved clarity. * Enhance Esp32Camera functionality and memory management - Added esp_timer.h for improved timing functionality. - Streamlined camera initialization by removing redundant frame buffer setup and logging. - Improved memory allocation for JPEG encoding and added error handling for unsupported pixel formats. - Updated comments for clarity and consistency, ensuring better understanding of the code flow.
AtomS3R CAM/M12 + Echo Base
简介
AtomS3R CAM、AtomS3R M12 是 M5Stack 推出的基于 ESP32-S3-PICO-1-N8R8 的物联网可编程控制器，搭载了摄像头。Atomic Echo Base 是一款专为 M5 Atom 系列主机设计的语音识别底座，采用了 ES8311 单声道音频解码器、MEMS 麦克风和 NS4150B 功率放大器的集成方案。
两款开发版均不带屏幕、不带额外按键，需要使用语音唤醒。必要时，需要使用 idf.py monitor 查看 log 以确定运行状态。
配置、编译命令
配置编译目标为 ESP32S3
idf.py set-target esp32s3
打开 menuconfig 并配置
idf.py menuconfig
分别配置如下选项：
Xiaozhi Assistant→Board Type→ 选择AtomS3R CAM/M12 + Echo BaseXiaozhi Assistant→IoT Protocol→ 选择MCP协议可开启摄像头识别功能Partition Table→Custom partition CSV file→ 删除原有内容，输入partitions/v2/8m.csvSerial flasher config→Flash size→ 选择8 MB
按 S 保存，按 Q 退出。
编译
idf.py build
烧录
将 AtomS3R CAM/M12 连接到电脑，按住侧面 RESET 按键，直到 RESET 按键下方绿灯闪烁。
idf.py flash
烧录完毕后，按一下 RESET 按钮重启。