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  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • 1. Introduction

          • About GM-3568JHF
        • 2. Quick Start

          • 00 Introduction
          • 01 Environment Setup
          • 02 Compilation Instructions
          • 03 Flashing Guide
          • 04 Debug Tools
          • 05 Software Update
          • 06 View Information
          • 07 Test Commands
          • 08 App Compilation
          • 09 Source Code Acquisition
        • 3. Peripherals and Interfaces

          • 01 USB
          • 02 Display and Touch
          • 03 Ethernet
          • 04 WIFI
          • 05 Bluetooth
          • 06 TF-Card
          • 07 Audio
          • 08 Serial Port
          • 09 CAN
          • 10 RTC
        • 4. Application Development

          • 01 UART read and write case
          • 02 Key detection case
          • 03 LED light flashing case
          • 04 MIPI screen detection case
          • 05 Read USB device information example
          • 06 FAN Detection Case
          • 07 FPGA FSPI Communication Case
          • 08 FPGA DMA read and write case
          • 09 GPS debugging case
          • 10 Ethernet Test Cases
          • 11 RS485 reading and writing examples
          • 12 FPGA IIC read and write examples
          • 13 PN532 NFC card reader case
          • 14 TF card reading and writing case
        • 5. QT Development

          • 01 ARM64 cross compiler environment construction
          • 02 QT program added automatic startup service
        • 6. RKNN_NPU Development

          • 01 RK3568 NPU Overview
          • 02 Development Environment Setup
          • Run Official YOLOv5 Example
          • Model Conversion Detailed Explanation
          • Run Custom Model on Board
        • 7. FPGA Development

          • ARM and FPGA Communication
          • /fpga-arm/GM-3568JHF/FPGA/ch02-FPGA-Development-Manual.html
        • 8. Others

          • 01 Modification of the root directory file system
          • 02 System auto-start service
        • 9. Download

          • Download Resources
    • ShimetaPi

      • M4-R1

        • 1. Introduction

          • 1.1 About M4-R1
        • 2. Quick Start

          • 2.1 OpenHarmony Overview
          • 2.2 Image Burning
          • 2.3 Development Environment Preparation
          • 2.4 Hello World Application
        • 3. Application Development

          • 3.1 Getting Started

            • 3.1.1 ArkTS Language Overview
            • 3.1.2 UI Components (Part 1)
            • 3.1.3 UI Components (Part 2)
            • 3.1.4 UI Components (Part 3)
          • 3.2 Advanced

            • 3.2.1 Getting Started Guide
            • 3.2.2 Usage of Third Party Libraries
            • 3.2.3 Deployment of the Application
            • 3.2.4 Factory Reset
            • 3.2.5 System Debug
            • 3.2.6 APP Stability Testing
            • 3.2.7 Application Testing
          • 3.3 Getting Docs

            • 3.3.1 Official Website Information
          • 3.4 Development Instructions

            • 3.4.1 Full SDK
            • 3.4.2 Introduction of Third Party Libraries
            • 3.4.3 Introduction of HDC Tool
            • 3.4.4 Restore Factory Mode
            • 3.4.5 Update System API
          • 3.5 First Application

            • 3.5.1 First ArkTS App
          • 3.6 Application Demo

            • 3.6.1 UART Tool
            • 3.6.2 Graphics Tablet
            • 3.6.3 Digital Clock
            • 3.6.4 WIFI Tool
        • 4. Device Development

          • 4.1 Ubuntu Environment Development

            • 4.1.1 Environment Setup
            • 4.1.2 Download Source Code
            • 4.1.3 Compile Source Code
          • 4.2 Using DevEco Device Tool

            • 4.2.1 Tool Introduction
            • 4.2.2 Environment Construction
            • 4.2.3 Import SDK
            • 4.2.4 Function Introduction
        • 5. Peripherals and Interfaces

          • 5.1 Raspberry Pi Interfaces
          • 5.2 GPIO Interface
          • 5.3 I2C Interface
          • 5.4 SPI Communication
          • 5.5 PWM Control
          • 5.6 Serial Port Communication
          • 5.7 TF Card Slot
          • 5.8 Display Screen
          • 5.9 Touch Screen
          • 5.10 Audio
          • 5.11 RTC
          • 5.12 Ethernet
          • 5.13 M.2
          • 5.14 MINI PCIE
          • 5.15 Camera
          • 5.16 WIFI BT
          • 5.17 HAT
        • 6. FAQ

          • 6.1 Download Link
      • M5-R1

        • 1. Introduction

          • M5-R1 Development Documentation
        • 2. Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Development Environment Preparation
          • Hello World Application and Deployment
        • 3. Peripherals and Interfaces

          • 3.1 Raspberry Pi Interfaces
          • 3.2 GPIO Interface
          • 3.3 I2C Interface
          • 3.4 SPI Communication
          • 3.5 PWM Control
          • 3.6 Serial Port Communication
          • 3.7 TF Card Slot
          • 3.8 Display Screen
          • 3.9 Touch Screen
          • 3.10 Audio
          • 3.11 RTC
          • 3.12 Ethernet
          • 3.13 M.2
          • 3.14 MINI PCIE
          • 3.15 Camera
          • 3.16 WIFI BT
          • 3.17 HAT
        • 4. Application Development

          • 4.1 Getting Started

            • 4.1.1 ArkTS Language Overview
            • 4.1.2 UI Components (Part 1)
            • 4.1.3 UI Components (Part 2)
            • 4.1.4 UI Components (Part 3)
          • 4.2 Advanced

            • 4.2.1 Getting Started Guide
            • 4.2.2 Usage of Third Party Libraries
            • 4.2.3 Deployment of the Application
            • 4.2.4 Factory Reset
            • 4.2.5 System Debug
            • 4.2.6 APP Stability Testing
            • 4.2.7 Application Testing
        • 5. Device Development

          • 5.1 Environment Setup
          • 5.2 Download Source Code
          • 5.3 Compile Source Code
        • 6. Download

          • Data Download
    • OpenHarmony

      • SC-3568HA

        • 1. Introduction

          • 1.1 About SC-3568HA
        • 2. Quick Start

          • 2.1 OpenHarmony Overview
          • 2.2 Image Burning
          • 2.3 Development Environment Preparation
          • 2.4 Hello World Application
        • 3. Application Development

          • 3.1 ArkUI

            • 3.1.1 ArkTS Language Overview
            • 3.1.2 UI Components (Part 1)
            • 3.1.3 UI Components (Part 2)
            • 3.1.4 UI Components (Part 3)
          • 3.2 Advanced

            • 3.2.1 Getting Started Guide
            • 3.2.2 Usage of Third Party Libraries
            • 3.2.3 Deployment of the Application
            • 3.2.4 Factory Reset
            • 3.2.5 System Debug
            • 3.2.6 APP Stability Testing
            • 3.2.7 Application Testing
        • 4. Device Development

          • 4.1 Environment Setup
          • 4.2 Download Source Code
          • 4.3 Compile Source Code
        • 5. Peripherals and Interfaces

          • 5.1 Raspberry Pi Interfaces
          • 5.2 GPIO Interface
          • 5.3 I2C Interface
          • 5.4 SPI Communication
          • 5.5 PWM Control
          • 5.6 Serial Port Communication
          • 5.7 TF Card Slot
          • 5.8 Display Screen
          • 5.9 Touch Screen
          • 5.10 Audio
          • 5.11 RTC
          • 5.12 Ethernet
          • 5.13 M.2
          • 5.14 MINI PCIE
          • 5.15 Camera
          • 5.16 WIFI BT
          • 5.17 HAT
        • 6. FAQ

          • 6.1 Download Link
      • M-K1HSE

        • 1. Introduction

          • 1.1 Product Introduction
        • 2. Quick Start

          • 2.1 Debug Tool Installation
          • 2.2 Development Environment Setup
          • 2.3 Source Code Download
          • 2.4 Build Instructions
          • 2.5 Flashing Guide
          • 2.6 APT Update Sources
          • 2.7 View Board Info
          • 2.8 CLI LED and Key Test
          • 2.9 GCC Build Programs
        • 3. Application Development

          • 3.1 Basic Application Development

            • 3.1.1 Development Environment Preparation
            • 3.1.2 First Application HelloWorld
            • 3.1.3 Develop HAR Package
          • 3.2 Peripheral Application Cases

            • 3.2.1 UART Read/Write
            • 3.2.2 Key Demo
            • 3.2.3 LED Flash
        • 4. Peripherals and Interfaces

          • 4.1 Standard Peripherals

            • 4.1.1 USB
            • 4.1.2 Display and Touch
            • 4.1.3 Ethernet
            • 4.1.4 WIFI
            • 4.1.5 Bluetooth
            • 4.1.6 TF Card
            • 4.1.7 Audio
            • 4.1.8 Serial Port
            • 4.1.9 CAN
            • 4.1.10 RTC
          • 4.2 Interfaces

            • 4.2.1 Audio
            • 4.2.2 RS485
            • 4.2.3 Display
            • 4.2.4 Touch
        • 5. System Customization Development

          • 5.1 System Porting
          • 5.2 System Customization
          • 5.3 Driver Development
          • 5.4 System Debugging
          • 5.5 OTA Upgrade
        • 6. Download

          • 6.1 Download
    • EVS-Camera

      • CF-NRS1

        • 1. Introduction

          • 1.1 About CF-NRS1
          • 1.2 Event-Based Concepts
          • 1.3 Quick Start
          • 1.4 Resources
        • 2. Development

          • 2.1 Development Overview

            • 2.1.1 Shimetapi Hybrid Camera SDK Introduction
          • 2.2 Environment & API

            • 2.2.1 Environment Overview
            • 2.2.2 Development API Overview
          • 2.3 Linux Development

            • 2.3.1 Linux SDK Introduction
            • 2.3.2 Linux SDK API
            • 2.3.3 Linux Algorithm
            • 2.3.4 Linux Algorithm API
          • 2.4 Service & Web

            • 2.4.1 EVS Server
            • 2.4.2 Time Server
            • 2.4.3 EVS Web
        • 3. Download

          • 3.1 Download
        • 4. Common Problems

          • 4.1 Common Problems
      • CF-CRA2

        • 1. Introduction

          • 1.1 About CF-CRA2
        • 2. Download

          • 2.1 Download
      • EVS Module

        • 1. Related Concepts
        • 2. Hardware Preparation and Environment Configuration
        • 3. Example Program User Guide
        • Resources Download
    • AI-model

      • 1684XB-32T

        • 1. Introduction

          • AIBOX-1684XB-32 Introduction
        • 2. Quick Start

          • First time use
          • Network Configuration
          • Disk usage
          • Memory allocation
          • Fan Strategy
          • Firmware Upgrade
          • Cross-Compilation
          • Model Quantization
        • 3. Application Development

          • 3.1 Development Introduction

            • Sophgo SDK Development
            • SOPHON-DEMO Introduction
          • 3.2 Large Language Models

            • Deploying Llama3 Example
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Sophon_LLM_api_server-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/MiniCPM-V-2_6-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen-2-5-VL-demo-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen-3-chat-demo-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen3-Qwen Agent-MCP.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen3-langchain-AI Agent.html
          • 3.3 Deep Learning

            • ResNet (Image Classification)
            • LPRNet (License Plate Recognition)
            • SAM (Universal Image Segmentation Foundation Model)
            • YOLOv5 (Object Detection)
            • OpenPose (Human Keypoint Detection)
            • PP-OCR (Optical Character Recognition)
        • 4. Download

          • Resource Download
      • 1684X-416T

        • 1. Introduction

          • AIBOX-1684X-416 Introduction
        • 2. Demo Simple Operation Guide

          • Simple instructions for using shimeta smart monitoring demo
      • RDK-X5

        • 1. Introduction

          • RDK-X5 Hardware Introduction
        • 2. Quick Start

          • RDK-X5 Quick Start
        • 3. Application Development

          • 3.1 AI Online Model Development

            • AI Online Development - Experiment01
            • AI Online Development - Experiment02
            • AI Online Development - Experiment03
            • AI Online Development - Experiment04
            • AI Online Development - Experiment05
            • AI Online Development - Experiment06
          • 3.2 Large Language Models (Voice)

            • Voice LLM Application - Experiment01
            • Voice LLM Application - Experiment02
            • Voice LLM Application - Experiment03
            • Voice LLM Application - Experiment04
            • Voice LLM Application - Experiment05
            • Voice LLM Application - Experiment06
          • 3.3 40pin-IO Development

            • 40pin IO Development - Experiment01
            • 40pin IO Development - Experiment02
            • 40pin IO Development - Experiment03
            • 40pin IO Development - Experiment04
            • 40pin IO Development - Experiment05
            • 40pin IO Development - Experiment06
            • 40pin IO Development - Experiment07
          • 3.4 USB Module Development

            • USB Module Usage - Experiment01
            • USB Module Usage - Experiment02
          • 3.5 Machine Vision

            • Machine Vision Technology Development - Experiment01
            • Machine Vision Technology Development - Experiment02
            • Machine Vision Technology Development - Experiment03
            • Machine Vision Technology Development - Experiment04
          • 3.6 ROS2 Base Development

            • ROS2 Basic Development - Experiment01
            • ROS2 Basic Development - Experiment02
            • ROS2 Basic Development - Experiment03
            • ROS2 Basic Development - Experiment04
      • RDK-S100

        • 1. Introduction

          • 1.1 About RDK-S100
        • 2. Quick Start

          • 2.1 First Use
        • 3. Application Development

          • 3.1 AI Online Model Development

            • 3.1.1 Volcano Engine Doubao AI
            • 3.1.2 Image Analysis
            • 3.1.3 Multimodal Visual Analysis
            • 3.1.4 Multimodal Image Comparison
            • 3.1.5 Multimodal Document Analysis
            • 3.1.6 Camera AI Vision Analysis
          • 3.2 Large Language Models

            • 3.2.1 Speech Recognition
            • 3.2.2 Voice Conversation
            • 3.2.3 Multimodal Image Analysis
            • 3.2.4 Multimodal Image Comparison
            • 3.2.5 Multimodal Document Analysis
            • 3.2.6 Multimodal Vision Application
          • 3.3 40pin-IO Development

            • 3.3.1 GPIO Output LED Blink
            • 3.3.2 GPIO Input
            • 3.3.3 Key Control LED
            • 3.3.4 PWM Output
            • 3.3.5 Serial Output
            • 3.3.6 I2C Experiment
          • 3.4 USB Module Development

            • 3.4.1 USB Voice Module
            • 3.4.2 Sound Source Localization
          • 3.5 Machine Vision

            • 3.5.1 USB Camera
            • 3.5.2 Image Processing Basics
            • 3.5.3 Object Detection
            • 3.5.4 Image Segmentation
          • 3.6 ROS2 Base Development

            • 3.6.1 Environment Setup
            • 3.6.2 Create and Build Workspace
            • 3.6.3 ROS2 Topic Communication
            • 3.6.4 ROS2 Camera Application
    • Core-Board

      • C-3568BQ

        • 1. Introduction

          • C-3568BQ Introduction
      • C-3588LQ

        • 1. Introduction

          • C-3588LQ Introduction
      • GC-3568JBAF

        • 1. Introduction

          • GC-3568JBAF Introduction
      • C-K1BA

        • 1. Introduction

          • C-K1BA Introduction

Camera

以M4-R1为例,该板卡支持USB摄像头与MIPI摄像头

MIPI摄像头连接如下图:

TOOL

目前该板卡支持GC8034、OV5695这两个MIPI摄像头

1. MIPI摄像头DTS配置

  • arch/arm64/boot/dts/rockchip/rk3568-toybrick-x0.dtsi
    &i2c4 {
        status = "okay";

        gc8034: gc8034@37 {
            compatible = "galaxycore,gc8034";
            reg = <0x37>;
            clocks = <&cru CLK_CIF_OUT>;//CLK_CAM0_OUT>;
            clock-names = "xvclk";
            power-domains = <&power RK3568_PD_VI>;
            pinctrl-names = "default";
            pinctrl-0 = <&cif_clk>;
            reset-gpios = <&gpio0 RK_PD6 GPIO_ACTIVE_LOW>;
            pwdn-gpios = <&gpio4 RK_PB4 GPIO_ACTIVE_LOW>;
            rockchip,grf = <&grf>;
            rockchip,camera-module-index = <0>;
            rockchip,camera-module-facing = "back";
            rockchip,camera-module-name = "RK-CMK-8M-2-v1";
            rockchip,camera-module-lens-name = "CK8401";
            port {
                gc8034_out: endpoint {
                    remote-endpoint = <&mipi_in_ucam1>;
                    data-lanes = <1 2 3 4>;
                };
            };
        };

        ......

        ov5695: ov5695@36 {
            status = "okay";
            compatible = "ovti,ov5695";
            reg = <0x36>;
            clocks = <&cru CLK_CIF_OUT>;
            clock-names = "xvclk";
            power-domains = <&power RK3568_PD_VI>;
            pinctrl-names = "default";
            pinctrl-0 = <&cif_clk>;
            reset-gpios = <&gpio0 RK_PD6 GPIO_ACTIVE_LOW>;
            pwdn-gpios = <&gpio4 RK_PB4 GPIO_ACTIVE_LOW>;
            rockchip,camera-module-index = <0>;
            rockchip,camera-module-facing = "back";
            rockchip,camera-module-name = "TongJu";
            rockchip,camera-module-lens-name = "CHT842-MD";
            port {
                ov5695_out: endpoint {
                    remote-endpoint = <&mipi_in_ucam2>;
                    data-lanes = <1 2>;
                };
            };
        };
    };

2. 摄像头测试

使用鸿蒙系统自带的摄像头应用测试:

TOOL

测试预览,拍照,录像都正常

3. 摄像头 API使用与实践

3.1 标准API使用方法

备注

本模块为开发者提供一套简单且易于理解的相机服务接口,开发者通过调用接口可以开发相机应用。应用通过 访问和操作相机硬件,实现基础操作,如预览、拍照和录像;还可以通过接口组合完成更多操作,如控制闪光 灯和曝光时间、对焦或调焦等。

  • camera标准接口

    @ohos.multimedia.camera (相机管理)(系统接口)

  • API使用说明

使用camera相关API开发时候,需要先了解熟悉第一个open Harmony工程的创建,相关文档: Hello World应用以及部署

在使用一个API时,需要注意以下几点:

API权限说明
API的参数与返回值
API调用错误的时候,参考API错误码和通用错误码
API示例的正确使用

如下图所示,即为标准API文档

TOOL
  • 官方标准开发文档

详见

Camera官方标准API开发文档

3.2 社区Demo

  • 简介

为了帮助开发者更快速的使用板子开发和学习,我们在gitee上提供了一个WiFi相关的使用示例,每一个项目都是独立的DevEco Studio工程,开发者可以将工程导入到DevEco Studio中即可,通过浏览代码、编译工程、安装和运行应用示例来了解应用示例中涉及API的使用方法。

giteeCamera示例

Warning

在导入社区Demo工程的时候,需要开发者需要注意本地的开发环境是否与项目的一致,即本地SDK是否与 项目SDK一致。

  • 导入模块

在使用Camera标准API的时候,最重要的一步是导入Camera的模块,才能使用Camera相应的API接口。通常模块导入是在文件头导入,导入模块: import camera from '@ohos.multimedia.camera'

  • API 介绍

  • camera.getCameraManager(获取相机管理器实例)

	getCameraManager(context: Context): CameraManager
  • getSupportedCameras(获取支持指定的相机设备对象)
	getSupportedCameras(): Array<CameraDevice>
  • getSupportedOutputCapability(查询相机设备支持的输出能力)
	getSupportedOutputCapability(camera: CameraDevice): CameraOutputCapability
  • isCameraMuted(查询相机当前的禁用状态)
	isCameraMuted(): boolean
  • createCameraInput(使用CameraDevice对象创建CameraInput实例)
	createCameraInput(camera: CameraDevice): CameraInput
	需要权限: ohos.permission.CAMERA
  • createPreviewOutput(创建预览输出对象)
	createPreviewOutput(profile: Profile, surfaceId: string): PreviewOutput
  • CameraInput.open(打开相机,通过注册回调函数获取状态)
	open(callback: AsyncCallback<void>): void
  • CameraInput.close(关闭相机,通过注册回调函数获取状态)
	close(callback: AsyncCallback<void>): void
  • CameraInput.on(‘error’) (监听CameraInput的错误事件,通过注册回调函数获取结果)
	on(type: ‘error’, camera: CameraDevice, callback: ErrorCallback): void
  • CameraInput.off(‘error’) (注销监听CameraInput的错误事件)
	off(type: ‘error’, camera: CameraDevice, callback?: ErrorCallback): void
  • Demo主要实现源码

camera.ets

/*
 * Copyright (c) 2022 Huawei Device Co., Ltd.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import camera from '@ohos.multimedia.camera'
import deviceInfo from '@ohos.deviceInfo'
import fileio from '@ohos.fileio'
import image from '@ohos.multimedia.image'
import media from '@ohos.multimedia.media'
import mediaLibrary from '@ohos.multimedia.mediaLibrary'
import Logger from './Logger'
import MediaUtils from './MediaUtils'

const CameraMode = {
  MODE_PHOTO: 0, // 拍照模式
  MODE_VIDEO: 1, // 录像模式
}

const CameraSize = {
  WIDTH: 1920,
  HEIGHT: 1080,
}

export default class CameraService {
  private tag: string = 'CameraService'
  private context: any = undefined
  private mediaUtil: MediaUtils = undefined
  private cameraManager: camera.CameraManager = undefined
  private cameras: Array<camera.CameraDevice> = undefined
  private cameraId: string = ''
  private cameraInput: camera.CameraInput = undefined
  private previewOutput: camera.PreviewOutput = undefined
  private photoOutPut: camera.PhotoOutput = undefined
  private captureSession: camera.CaptureSession = undefined
  private mReceiver: image.ImageReceiver = undefined
  private photoUri: string = ''
  private fileAsset: mediaLibrary.FileAsset = undefined
  private fd: number = -1
  private curMode = CameraMode.MODE_PHOTO
  private videoRecorder: media.VideoRecorder = undefined
  private videoOutput: camera.VideoOutput = undefined
  private handleTakePicture: (photoUri: string) => void = undefined
  private cameraOutputCapability: camera.CameraOutputCapability = undefined
  private videoConfig: any = {
    audioSourceType: 1,
    videoSourceType: 0,
    profile: {
      audioBitrate: 48000,
      audioChannels: 2,
      audioCodec: 'audio/mp4v-es',
      audioSampleRate: 48000,
      durationTime: 1000,
      fileFormat: 'mp4',
      videoBitrate: 48000,
      videoCodec: 'video/mp4v-es',
      videoFrameWidth: 640,
      videoFrameHeight: 480,
      videoFrameRate: 30,
    },
    url: '',
    orientationHint: 0,
    location: {
      latitude: 30,
      longitude: 130,
    },
    maxSize: 10000,
    maxDuration: 10000,
  }

  constructor(context: any) {
    this.context = context
    this.mediaUtil = MediaUtils.getInstance(context)
    this.mReceiver = image.createImageReceiver(
      CameraSize.WIDTH,
      CameraSize.HEIGHT,
      4,
      8,
    )
    Logger.debug(this.tag, 'createImageReceiver')
    this.mReceiver.on('imageArrival', () => {
      Logger.debug(this.tag, 'imageArrival')
      this.mReceiver.readNextImage((err, image) => {
        Logger.debug(this.tag, 'readNextImage')
        if (err || image === undefined) {
          Logger.error(this.tag, 'failed to get valid image')
          return
        }
        image.getComponent(4, (errMsg, img) => {
          Logger.debug(this.tag, 'getComponent')
          if (errMsg || img === undefined) {
            Logger.debug(this.tag, 'failed to get valid buffer')
            return
          }
          let buffer = new ArrayBuffer(4096)
          if (img.byteBuffer) {
            buffer = img.byteBuffer
          } else {
            Logger.error(this.tag, 'img.byteBuffer is undefined')
          }
          this.savePicture(buffer, image)
        })
      })
    })
  }

  async savePicture(buffer: ArrayBuffer, img: image.Image) {
    Logger.debug(this.tag, 'savePicture')
    this.fileAsset = await this.mediaUtil.createAndGetUri(
      mediaLibrary.MediaType.IMAGE,
    )
    this.photoUri = this.fileAsset.uri
    Logger.debug(this.tag, `this.photoUri = ${this.photoUri}`)
    this.fd = await this.mediaUtil.getFdPath(this.fileAsset)
    Logger.debug(this.tag, `this.fd = ${this.fd}`)
    await fileio.write(this.fd, buffer)
    await this.fileAsset.close(this.fd)
    await img.release()
    Logger.debug(this.tag, 'save image done')
    if (this.handleTakePicture) {
      this.handleTakePicture(this.photoUri)
    }
  }

  async initCamera(surfaceId: string): Promise<boolean> {
    try {
      Logger.debug(this.tag, 'initCamera')
      await this.releaseCamera()
      Logger.debug(this.tag, `deviceInfo.deviceType = ${deviceInfo.deviceType}`)
      if (deviceInfo.deviceType === 'default') {
        this.videoConfig.videoSourceType = 1
      } else {
        this.videoConfig.videoSourceType = 0
      }
      this.cameraManager = await camera.getCameraManager(this.context)
      Logger.debug(this.tag, 'getCameraManager')
      this.cameras = await this.cameraManager.getSupportedCameras()
      Logger.debug(this.tag, `get cameras ${this.cameras.length}`)
      if (this.cameras.length === 0) {
        Logger.debug(this.tag, 'cannot get cameras')
        return
      }

      let cameraDevice = this.cameras[0]
      this.cameraInput =
        await this.cameraManager.createCameraInput(cameraDevice)
      this.cameraInput.open()
      Logger.debug(this.tag, 'createCameraInput')
      this.cameraOutputCapability =
        await this.cameraManager.getSupportedOutputCapability(cameraDevice)
      let previewProfile = this.cameraOutputCapability.previewProfiles[0]
      this.previewOutput = await this.cameraManager.createPreviewOutput(
        previewProfile,
        surfaceId,
      )
      this.previewOutput.on('frameStart', () => {
        Logger.debug(this.tag, 'Preview frame started')
      })
      this.previewOutput.on('frameEnd', () => {
        Logger.debug(this.tag, 'Preview frame ended')
      })
      this.previewOutput.on('error', (previewOutputError) => {
        Logger.debug(
          this.tag,
          `Preview output error code: ${previewOutputError.code}`,
        )
      })

      Logger.debug(this.tag, 'createPreviewOutput')
      let mSurfaceId = await this.mReceiver.getReceivingSurfaceId()
      let photoProfile = this.cameraOutputCapability.photoProfiles[0]
      this.photoOutPut = await this.cameraManager.createPhotoOutput(
        photoProfile,
        mSurfaceId,
      )
      this.captureSession = await this.cameraManager.createCaptureSession()
      Logger.debug(this.tag, 'createCaptureSession')
      await this.captureSession.beginConfig()
      Logger.debug(this.tag, 'beginConfig')
      await this.captureSession.addInput(this.cameraInput)
      await this.captureSession.addOutput(this.previewOutput)
      await this.captureSession.addOutput(this.photoOutPut)
      await this.captureSession.commitConfig()
      await this.captureSession
        .start()
        .then(() => {
          Logger.debug(
            this.tag,
            'Promise returned to indicate the session start success.',
          )
        })
        .catch((err) => {
          Logger.debug(this.tag, `Failed to start the session ${err.code}`)
          return false
        })

      Logger.debug(this.tag, 'captureSession start')
    } catch (error) {
      Logger.debug(this.tag, 'error code:' + error.code)
      Logger.debug(this.tag, 'error code:' + JSON.parse(error))
      return false
    }
    return true
  }

  setTakePictureCallback(callback) {
    this.handleTakePicture = callback
  }

  async takePicture() {
    Logger.debug(this.tag, 'takePicture')
    if (this.curMode === CameraMode.MODE_VIDEO) {
      this.curMode = CameraMode.MODE_PHOTO
    }
    let photoSettings = {
      rotation: camera.ImageRotation.ROTATION_0,
      quality: camera.QualityLevel.QUALITY_LEVEL_MEDIUM,
      location: {
        // 位置信息,经纬度
        latitude: 12.9698,
        longitude: 77.75,
        altitude: 1000,
      },
      mirror: false,
    }
    await this.photoOutPut.capture(photoSettings)
    Logger.debug(this.tag, 'takePicture done')
    AppStorage.Set('isRefresh', true)
  }

  async startVideo() {
    Logger.debug(this.tag, 'startVideo begin')
    await this.captureSession.stop()
    await this.captureSession.beginConfig()
    if (this.curMode === CameraMode.MODE_PHOTO) {
      this.curMode = CameraMode.MODE_VIDEO
      if (this.photoOutPut) {
        await this.captureSession.removeOutput(this.photoOutPut)
        this.photoOutPut.release()
      }
    } else {
      if (this.videoOutput) {
        await this.captureSession.removeOutput(this.videoOutput)
      }
    }
    if (this.videoOutput) {
      await this.captureSession.removeOutput(this.videoOutput)
      await this.videoOutput.release()
    }
    this.fileAsset = await this.mediaUtil.createAndGetUri(
      mediaLibrary.MediaType.VIDEO,
    )
    this.fd = await this.mediaUtil.getFdPath(this.fileAsset)
    this.videoRecorder = await media.createVideoRecorder()
    this.videoConfig.url = `fd://${this.fd}`
    await this.videoRecorder.prepare(this.videoConfig)
    let videoId = await this.videoRecorder.getInputSurface()
    let videoProfile = this.cameraOutputCapability.videoProfiles[0]
    this.videoOutput = await this.cameraManager.createVideoOutput(
      videoProfile,
      videoId,
    )
    await this.captureSession.addOutput(this.videoOutput)
    await this.captureSession.commitConfig()
    await this.captureSession.start()
    await this.videoOutput.start()
    await this.videoRecorder.start()
    Logger.debug(this.tag, 'startVideo end')
  }

  async stopVideo() {
    Logger.debug(this.tag, 'stopVideo called')
    await this.videoRecorder.stop()
    await this.videoOutput.stop()
    await this.videoRecorder.release()
    await this.fileAsset.close(this.fd)
  }

  async releaseCamera() {
    Logger.debug(this.tag, 'releaseCamera')
    if (this.cameraInput) {
      await this.cameraInput.close()
    }
    if (this.previewOutput) {
      await this.previewOutput.release()
    }
    if (this.photoOutPut) {
      await this.photoOutPut.release()
    }
    if (this.videoOutput) {
      await this.videoOutput.release()
    }
    if (this.captureSession) {
      await this.captureSession.release()
    }
  }
}

3.3 代码编译

详见

代码编译详细流程可见: Hello World应用以及部署 中的第二部分(构建第一个页面部分内容)

3.4 代码运行效果

用以上标准API接口实现Camera Demo,如下图所示:

TOOL
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