Author SHA1 Message Date
mazengfei 97e5d74c4b 吐盘机: 避免相机关闭后预览画面残留
- 将双击判定窗口时间由300ms延长至600ms,提升触摸屏操作体验
- 为标题时间布局的左右TextView添加最小高度和内边距,优化显示效果
- 相机关闭时清空预览画面,防止TextureView冻结并残留上一用户画面
- 重启相机前先清空残留帧,避免闪现上一用户画面
2026-08-19 17:03:52 +08:00
mazengfei 524837ec20 feat(face): 支持按userFaceId查询单条人脸记录
- FaceDao新增queryByUserFaceId接口,实现按userFaceId精确查询
- FaceApi新增queryByUserFaceId方法,封装Dao查询逻辑
- LoginByFaceActivity插入人脸时,先按userFaceId查询,存在则更新避免重复
- NetViewModelV2同步人脸数据时,优先用userFaceId判重,减少重复入库
- 修正FaceEntity中userId字段数据库列名错误(user_id替代user_idd)
- 增加注释说明及代码格式优化,提升代码可读性和健壮性
2026-08-18 09:12:40 +08:00
mazengfei 747e243122 feat(face): 按 userFaceId 删除单条人脸记录
- 在 FaceDao 中新增按 userFaceId 删除人脸记录的SQL语句
- 在 FaceApi 类中新增 deleteByUserFaceId 方法调用该DAO方法
- 在 NetViewModelV2 中删除人脸时改为按 userFaceId 删除,避免误删所有同用户特征
2026-08-12 14:43:29 +08:00
mazengfei 6be9f4f1cf fix(plc): 统一添加超时兜底机制避免调用无响应挂起
- 在 PlcHelper 中新增 withTimeout 方法,包装所有 SDK 动作和查询接口
- 通过定时器实现超时检测,超时触发 onError 回调,避免永久挂起
- 确保 onSuccess 和 onError 回调至多调用一次,防止重复回调
- 为所有 PLC 操作接口分别设置合理超时时长(3s - 10s不等)
- 修改所有内部调用使用 withTimeout 包装,保证异常场景的错误回调触发
- 更新生产环境基础 URL 地址为平台测试环境地址
2026-08-10 14:02:30 +08:00
mazengfei c9dd294f87 feat(api): 新增取餐盘时刻上报接口及相关调用
- 在 ApiServiceV2 中添加 platePickup 接口用于上报用户开始就餐时刻
- 新增请求体 IdDTO,封装用户 id(餐盘号)字段
- RemoteRepositoryV2 添加对应的 platePickup 方法调用接口
- NetViewModelV2 实现业务方法 platePickup,支持异步回调上报结果
- LoginByFaceActivity 中识别成功出盘后及新用户注册成功后调用 platePickup 上报时刻
- reportPlatePickup 方法完善调用逻辑及日志记录,错误时不会影响主流程
2026-07-10 09:37:41 +08:00
mazengfei 5b29c99b34 refactor(login): 优化出盘流程并增强错误处理
- 抽取出盘成功与失败的统一处理方法,简化代码逻辑
- 新增新用户注册采集成功后立即出盘功能,避免与识别成功逻辑冲突
- 出盘成功后取消识别倒计时并控制出盘开关,防止重复出盘
- 出盘失败时统一提示错误并跳转回初始页
- 采集成功后立即异步出盘,确保上传失败时仍能出盘
- 调整识别失败计数重置逻辑,避免无人脸短暂丢帧导致计数异常
- 在人脸离开时重置识别失败计数,保证下次重新累计
- 网络请求增加异常捕获,防止因异常导致回调阻塞无反馈
2026-07-08 18:30:14 +08:00
mazengfei 9a8ac83d33 feat(face): 新增人脸库展示与增量更新支持
- 在PLC设置界面新增人脸库统计模块,显示人脸总数并支持刷新
- 人脸总数数据从本地数据库异步查询并更新界面
- 修改API接口调用,采用POST请求体方式提交人脸数据(包含url和特征字符串)
- 在网络调用中实现人脸数据的增量分页获取,递归拉取所有数据页
- 维护人脸数据的最大时间戳,确保增量更新只处理最新数据
- 优化人脸数据缓存逻辑,第一页重置数据并同步时间戳
- 添加FeatureBody数据类封装人脸特征请求体参数
- 修正相关仓库层方法以适配新的API接口参数和返回结构
2026-07-07 17:33:04 +08:00
mazengfei cb107c2da2 feat(face): 集成5.0口罩检测引擎并升级数据库版本
- 将FaceDatabase版本升级至2并添加回退破坏性迁移方案
- FaceHelper中新增maskEngine字段与相关处理逻辑,支持口罩检测
- 更新RecognizeViewModel,初始化和管理口罩检测引擎maskEngine
- 在人脸识别流程中使用maskEngine进行口罩检测处理
- 修改ndk配置支持arm64-v8a架构
- 替换项目Gradle和JDK版本为corretto-17
- 优化人脸活体检测代码,移除不再使用的needUpdateFaceData逻辑
- 增加.idea项目设置文件,配置Firebase Crashlytics与设备选择器设置
2026-07-01 16:00:32 +08:00
mazengfei dbb4288217 feat(face): 集成5.0口罩检测引擎并升级数据库版本
- 将FaceDatabase版本升级至2并添加回退破坏性迁移方案
- FaceHelper中新增maskEngine字段与相关处理逻辑,支持口罩检测
- 更新RecognizeViewModel,初始化和管理口罩检测引擎maskEngine
- 在人脸识别流程中使用maskEngine进行口罩检测处理
- 修改ndk配置支持arm64-v8a架构
- 替换项目Gradle和JDK版本为corretto-17
- 优化人脸活体检测代码,移除不再使用的needUpdateFaceData逻辑
- 增加.idea项目设置文件,配置Firebase Crashlytics与设备选择器设置
2026-07-01 15:59:13 +08:00
31 changed files with 1840 additions and 145 deletions
+21
View File
@@ -2,5 +2,26 @@
<project version="4">
<component name="AppInsightsSettings">
<option name="selectedTabId" value="Firebase Crashlytics" />
<option name="tabSettings">
<map>
<entry key="Firebase Crashlytics">
<value>
<InsightsFilterSettings>
<option name="connection">
<ConnectionSetting>
<option name="appId" value="PLACEHOLDER" />
<option name="mobileSdkAppId" value="" />
<option name="projectId" value="" />
<option name="projectNumber" value="" />
</ConnectionSetting>
</option>
<option name="signal" value="SIGNAL_UNSPECIFIED" />
<option name="timeIntervalDays" value="THIRTY_DAYS" />
<option name="visibilityType" value="ALL" />
</InsightsFilterSettings>
</value>
</entry>
</map>
</option>
</component>
</project>
+3 -8
View File
@@ -2,16 +2,11 @@
<project version="4">
<component name="deploymentTargetSelector">
<selectionStates>
<SelectionState runConfigName="SmartPlateCabinet.app">
<option name="selectionMode" value="DROPDOWN" />
</SelectionState>
<SelectionState runConfigName="app">
<option name="selectionMode" value="DROPDOWN" />
<DropdownSelection timestamp="2026-03-18T06:09:00.079142300Z">
<Target type="DEFAULT_BOOT">
<handle>
<DeviceId pluginId="Default" identifier="serial=192.168.1.161:5555;connection=2c537abb" />
</handle>
</Target>
</DropdownSelection>
<DialogSelection />
</SelectionState>
</selectionStates>
</component>
+1 -1
View File
@@ -6,7 +6,7 @@
<GradleProjectSettings>
<option name="testRunner" value="CHOOSE_PER_TEST" />
<option name="externalProjectPath" value="$PROJECT_DIR$" />
<option name="gradleJvm" value="azul-17" />
<option name="gradleJvm" value="corretto-17" />
<option name="modules">
<set>
<option value="$PROJECT_DIR$" />
+6
View File
@@ -0,0 +1,6 @@
<component name="InspectionProjectProfileManager">
<profile version="1.0">
<option name="myName" value="Project Default" />
<inspection_tool class="UsePropertyAccessSyntax" enabled="true" level="WEAK WARNING" enabled_by_default="true" />
</profile>
</component>
+1 -1
View File
@@ -1,6 +1,6 @@
<project version="4">
<component name="ExternalStorageConfigurationManager" enabled="true" />
<component name="ProjectRootManager" version="2" languageLevel="JDK_17" default="true" project-jdk-name="zulu-17" project-jdk-type="JavaSDK">
<component name="ProjectRootManager" version="2" languageLevel="JDK_17" default="true" project-jdk-name="corretto-17" project-jdk-type="JavaSDK">
<output url="file://$PROJECT_DIR$/build/classes" />
</component>
<component name="ProjectType">
+1 -1
View File
@@ -27,7 +27,7 @@ android {
testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
ndk {
abiFilters.addAll(listOf("armeabi-v7a"/*, "arm64-v8a"*/))
abiFilters.addAll(listOf("armeabi-v7a", "arm64-v8a"))
}
setProperty("archivesBaseName", "zncpg_${versionName}")
}
@@ -40,7 +40,7 @@ object GlobalData {
*/
const val LOCAL_BASE_URL: String = "http://192.168.10.101:24801"
const val TEST_BASE_URL: String = "https://dev.yixiong-tech.com:8081"
const val PROD_BASE_URL: String = "https://api.dm.yixiong-tech.com:8443"
const val PROD_BASE_URL: String = "https://platform-api.uat.shuziweidao.com"
/**
* 设备id
@@ -129,12 +129,16 @@ abstract class BaseActivity<VB : ViewBinding> : AppCompatActivity() {
fun updateTime() {
headerBinding?.let {
// 双击判定窗口放宽至 600ms:默认 300ms 对触摸屏上的手动双击过短,
// 两次点击间隔常在 300~600ms,导致设置页"点很多次才进"
it.tvLeftDate.clickWithCoroutines(
doubleClickInterval = 600,
onDoubleClick = {
onLeftDoubleClick()
}
)
it.tvRightTime.clickWithCoroutines(
doubleClickInterval = 600,
onDoubleClick = {
onRightDoubleClick()
}
@@ -417,29 +417,96 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
PlcHelper.getInstance(this@LoginByFaceActivity)
.outPlate(object : PlcCallback<String> {
override fun onSuccess(result: String) {
plateEnable = false
recognizeCountDownUtil.cancelCountDown()
// result 为 false 时表示出盘后无餐盘,直接播放无盘提示音
if (result.equals("false", ignoreCase = true)) {
loadLogInfo("collectFace,openPlate: result=false,餐盘已空")
SoundPoolUtil.getInstance().play(NO_PLATE_REMIND, 0)
goInitActivity()
return
}
loadLogInfo("collectFace,openPlate: 出盘完成,result=$result,开始查询剩余餐盘")
// result 为 true,出盘成功,再查询是否还有剩余餐盘
SoundPoolUtil.getInstance().play(RECOGNIZE_SUCCESS, 0)
checkRemainingPlate()
onOutPlateSuccess(result, RECOGNIZE_SUCCESS)
}
override fun onError(message: String) {
ToastUtils.showToast("出盘失败,message=$message")
loadLogInfo("collectFace,openPlate: 出盘失败,message=$message")
goInitActivity()
onOutPlateError(message)
}
})
}
/**
* 新用户注册采集成功后立即出盘(与上传后台并行,互不阻塞)。
* 故意不经过 recognizeSuccess:避免使用临时 userId、避免与识别成功的防抖语义混淆。
*/
private fun outPlateForRegister() {
loadLogInfo("collectFace,outPlateForRegister: 新用户采集成功,立即出盘,plateEnable=$plateEnable")
if (plateEnable.not()) return
PlcHelper.getInstance(this@LoginByFaceActivity)
.outPlate(object : PlcCallback<String> {
override fun onSuccess(result: String) {
loadLogInfo("collectFace,outPlateForRegister: 出盘完成,result=$result")
onOutPlateSuccess(result, COLLECT_SUCCESS)
}
override fun onError(message: String) {
onOutPlateError(message)
}
})
}
/**
* 出盘成功后的统一处理:
* 1. 置 plateEnable=false、取消识别倒计时,防止重复出盘;
* 2. result 为 "false" 表示出盘后已无餐盘,播放无盘提示音并跳转;
* 3. 否则播放提示音并查询剩余餐盘状态。
*
* @param result PLC 返回结果("false" 表示出盘后无餐盘)
* @param successSound 出盘成功播放的提示音 key(识别成功 / 采集成功)
*/
private fun onOutPlateSuccess(result: String, successSound: String) {
plateEnable = false
recognizeCountDownUtil.cancelCountDown()
if (result.equals("false", ignoreCase = true)) {
loadLogInfo("collectFace,onOutPlateSuccess: result=false,餐盘已空")
SoundPoolUtil.getInstance().play(NO_PLATE_REMIND, 0)
goInitActivity()
return
}
SoundPoolUtil.getInstance().play(successSound, 0)
// 已注册用户:出盘成功且有盘时,上报取餐盘时刻(P-09a)
if (successSound == RECOGNIZE_SUCCESS) {
reportPlatePickup(currentUserId, "recognize")
}
checkRemainingPlate()
}
/**
* 出盘失败后的统一处理:提示失败并跳转回初始页
*/
private fun onOutPlateError(message: String) {
ToastUtils.showToast("出盘失败,message=$message")
loadLogInfo("collectFace,onOutPlateError: 出盘失败,message=$message")
goInitActivity()
}
/**
* 上报取餐盘时刻(P-09a):记录用户开始就餐时刻,是后续就餐记录(P-09)的强前置。
*
* 调用时机:
* - 已注册用户:识别成功且出盘成功(有盘)后,userId 取自 [currentUserId](来源 "recognize");
* - 新用户:addUserFace 注册成功拿到真实 userId 后(出盘已由 outPlateForRegister 并行触发,来源 "collect")。
*
* 上报失败仅记录日志,不影响吐盘主流程。
*
* @param userId 用户 id(餐盘号 = userId),为空或非数字时跳过
* @param source 调用来源标识,仅用于日志区分
*/
private fun reportPlatePickup(userId: String?, source: String) {
val id = userId?.toLongOrNull()
if (id == null) {
loadLogInfo("collectFace,reportPlatePickup[$source]: userId 为空或非数字,跳过上报,userId=$userId")
return
}
loadLogInfo("collectFace,reportPlatePickup[$source]: 上报取餐盘时刻,userId=$id")
netViewModelV2.platePickup(id) { success, msg ->
loadLogInfo("collectFace,reportPlatePickup[$source]: 上报完成,success=$successmsg=$msg")
}
}
/**
* 出盘成功后查询剩余餐盘状态,无盘则播放提示音
*/
@@ -617,7 +684,9 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
userFaceInfo = null
binding.btnCollect.tag = ""
binding.tvSimilarValue.text = ""
retryFailCount = 0
// 注意:此处不再重置 retryFailCount。
// 人脸检测会抖动(短暂丢帧),若每次无人脸就清零,"尝试几次失败"将无法累计。
// 失败计数仅在识别成功、会话重启、确认用户离开时清零。
// 人脸离开时,发送空帧清除 ViewModel 内部识别缓存,防止再次进入时使用旧数据
recognizeViewModel.onPreviewFrame(emptyFrame, true)
if (binding.llCollectButton.isVisible) {
@@ -629,6 +698,8 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
override fun onCameraClosed() {
Timber.i("initRgbCamera onCameraClosed: ")
// 相机关闭时清空预览画面,防止 TextureView 冻结残留上一位用户的帧
clearPreviewFrame()
}
override fun onCameraError(e: java.lang.Exception) {
@@ -694,11 +765,30 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
checkCameraPermission()
}
/**
* 清除预览 TextureView 中缓存的最后一帧画面(提交一帧全黑)。
* 相机关闭后 TextureView 会冻结保留最后一帧,若不清除,
* 下一位用户重启识别时会先闪现上一位用户的画面。
*/
private fun clearPreviewFrame() {
val previewView = binding.dualCameraTexturePreviewRgb
if (!previewView.isAvailable) return
runCatching {
val canvas = previewView.lockCanvas() ?: return@runCatching
canvas.drawColor(android.graphics.Color.BLACK)
previewView.unlockCanvasAndPost(canvas)
}.onFailure {
loadLogInfo("clearPreviewFrame 失败: ${it.message}")
}
}
private fun resumeCamera() {
// isRecognition = true
val helper = rgbCameraHelper
if (helper != null && helper.isStopped) {
loadLogInfo("collectFace,resumeCamera: ")
// 重启相机前先清空残留帧,避免闪现上一位用户的画面
clearPreviewFrame()
isRecognition = true
helper.start()
} else {
@@ -895,6 +985,8 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
loadLogInfo("collectFace,sendFaceData: ----------12,发送人脸数据成功但接口返回为null,faceData=${faceData}")
return@addUserFace
}
// 新用户:注册成功拿到真实 userId 后,上报取餐盘时刻(P-09a)
reportPlatePickup(faceModel.userId, "collect")
lifecycleScope.launch(Dispatchers.IO) {
saveFaceInfo(faceModel) {
runOnUiThread {
@@ -922,6 +1014,9 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
//block(faceData, headBmp)
isCollecting.set(false)
isCollectFace = false
// 采集成功后立即出盘,与上传后台并行执行,确保上传失败时仍能吐盘
outPlateForRegister()
// 异步上传后台(上传成功后才入库),不阻塞出盘
sendFaceData(faceData, headBmp)
}
@@ -944,15 +1039,24 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
loadLogInfo("collectFace,saveFaceInfo: ----------8,保存人脸取特征数据-----------")
val faceDao = FaceDatabase.getInstance(this).faceDao()
val faceEntity = faceModel.toFaceEntity()
val faceId = faceDao.insert(faceEntity)
// 先查后插:按 userFaceId 判重,避免采集入库与增量同步各插一条
val userFaceId = faceModel.userFaceId
val existing = if (!userFaceId.isNullOrEmpty()) faceDao.queryByUserFaceId(userFaceId) else null
val faceId = if (existing != null) {
// 已存在记录,更新特征等字段并复用主键,避免重复
faceEntity.faceId = existing.faceId
faceDao.updateFaceEntity(faceEntity)
existing.faceId
} else {
faceDao.insert(faceEntity)
}
faceEntity.faceId = faceId
loadLogInfo("collectFace,saveFaceInfo: ----------10,人脸数据保存完成-----------")
recognizeViewModel.refreshFaceList()
loadLogInfo("collectFace,saveFaceInfo: ----------11,刷新人脸数据-----------")
runOnUiThread {
//采集完成,不再识别,直接提示成功
//采集完成,停止识别(出盘已在采集成功时由 outPlateForRegister 触发,此处仅负责入库)
isRecognition = false
recognizeSuccess("${System.currentTimeMillis()}")
}
loadLogInfo("---------------------------------")
collectCount = 0
@@ -984,6 +1088,8 @@ class LoginByFaceActivity : BaseActivity<ActivityLoginFaceBinding>(),
loadLogInfo("leftCountDown.onFinish-人脸未离开,不跳转")
return@startCountDown
}
// 确认用户已离开画面,重置识别失败计数,下次进入重新累计
retryFailCount = 0
goInitActivity()
})
}
@@ -5,6 +5,7 @@ import android.content.Intent
import android.view.inputmethod.InputMethodManager
import androidx.lifecycle.lifecycleScope
import com.sw.plate.utils.ToastUtils
import com.sw.plate.utils.arcface.facedb.FaceDatabase
import com.sw.plate.utils.arcface.faceserver.FaceServer
import com.sw.platecabinet.databinding.ActivityPlcSettingBinding
import com.sw.platecabinet.databinding.ItemTitleTimeBinding
@@ -60,6 +61,7 @@ class PlcSettingActivity : BaseActivity<ActivityPlcSettingBinding>() {
initAlarmButton()
initParamButtons()
initStatusButton()
initFaceCount()
binding.btnSwitchEnv.setOnClickListener {
EnvSwitchDialog(context = this, onEnvChanged = {
showWaitingDialog("重置人脸数据中……")
@@ -334,6 +336,30 @@ class PlcSettingActivity : BaseActivity<ActivityPlcSettingBinding>() {
""".trimIndent()
}
// ==================== 人脸库统计 ====================
/**
* 初始化人脸库统计区:页面加载时查询并显示人脸总数,绑定刷新按钮
*/
private fun initFaceCount() {
refreshFaceCount()
binding.btnRefreshFaceCount.clickWithDebounce {
refreshFaceCount()
}
}
/**
* 从数据库查询人脸总数并更新 UI
*/
private fun refreshFaceCount() {
lifecycleScope.launch {
val count = withContext(Dispatchers.IO) {
FaceDatabase.getInstance(this@PlcSettingActivity).faceDao().faceCount
}
binding.tvFaceCount.text = "人脸总数:${count}"
}
}
// ==================== 生命周期 ====================
/**
@@ -0,0 +1,13 @@
package com.sw.platecabinet.model.request
/**
* 通用 ID 请求体
*
* 用于按用户 id(餐盘号)查询或上报类的接口,例如:
* - P-09a 取餐盘(/neglect/pickup/plate-pickup
*
* @property id 用户 id(餐盘号 = userId
*/
data class IdDTO(
val id: Long
)
@@ -3,6 +3,7 @@ package com.sw.platecabinet.network.api
import com.sw.platecabinet.GlobalData
import com.sw.platecabinet.model.DeviceConfigV2
import com.sw.platecabinet.model.request.FeatureBody
import com.sw.platecabinet.model.request.IdDTO
import com.sw.platecabinet.model.response.ApiResponse
import com.sw.platecabinet.model.response.UserFaceModel
import com.sw.platecabinet.model.response.UserFaceModelV2
@@ -62,4 +63,16 @@ interface ApiServiceV2 {
@Part file: MultipartBody.Part,
): ApiResponse<String?>
/**
* 取餐盘(P-09a):记录用户开始就餐时刻
* 调用一次即 upsert 到主单 plate_pickup_time,是 P-09 提交就餐记录的强前置。
* @param param IdDTOid 为用户 id(餐盘号 = userId
* @return ApiResponse<String?>data 为主单 recordNo
*/
@POST
suspend fun platePickup(
@Url url: String = "${GlobalData.appBaseUrl}/nutrition/neglect/pickup/plate-pickup",
@Body param: IdDTO
): ApiResponse<String?>
}
@@ -2,6 +2,7 @@ package com.sw.platecabinet.repository
import com.sw.platecabinet.model.DeviceConfigV2
import com.sw.platecabinet.model.request.FeatureBody
import com.sw.platecabinet.model.request.IdDTO
import com.sw.platecabinet.model.response.ApiResponse
import com.sw.platecabinet.model.response.UserFaceModel
import com.sw.platecabinet.model.response.UserFaceModelV2
@@ -69,4 +70,13 @@ class RemoteRepositoryV2 constructor(
}
}
}
/**
* 取餐盘(P-09a):上报用户开始就餐时刻
* @param userId 用户 id(餐盘号 = userId
* @return ApiResponse<String?>data 为主单 recordNo
*/
suspend fun platePickup(userId: Long): ApiResponse<String?> {
return safeApiCall { apiService.platePickup(param = IdDTO(id = userId)) }
}
}
@@ -4,10 +4,16 @@ import android.content.Context
import android.os.Handler
import android.os.Looper
import com.megoai.plc_aar.SDK
import java.util.concurrent.atomic.AtomicBoolean
/**
* PLC 操作工具类(单例)
* 封装 SDK 所有接口,统一回调到主线程
*
* 注意:底层 PLC SDKFlutter MethodChannel 封装)的 Listener 只有 onMessage 一个回调,
* Flutter 侧 error()/notImplemented() 均为空实现,串口异常或引擎未就绪时不会回调。
* 因此本类对所有动作类、查询类接口统一加超时兜底:超时未响应则触发 onError,
* 保证上层回调链不会因“无响应”而永久挂起。
*/
class PlcHelper private constructor(context: Context) {
@@ -28,6 +34,59 @@ class PlcHelper private constructor(context: Context) {
}
}
// ==================== 超时兜底封装 ====================
/**
* 包装 SDK 动作/查询调用:超时未响应时主动触发 onError。
*
* 背景:底层 SDK 的 Listener 仅在 Flutter 侧 success() 时回调 onMessage
* error()/notImplemented() 为空实现,串口异常时 Android 侧收不到任何回调,
* 会导致上层回调永久挂起。本方法用定时器兜底,并保证 onSuccess/onError 至多触发一次。
*
* @param timeoutMs 超时时长(毫秒)
* @param callback 上层回调(统一在主线程回调)
* @param action 实际发起 SDK 调用的逻辑,参数为经过防重入包装的“安全回调”,
* 内部所有成功/失败出口都应通过该回调触发
* @param <T> 回调结果类型
*/
private inline fun <T> withTimeout(
timeoutMs: Long,
callback: PlcCallback<T>,
crossinline action: (safeCallback: PlcCallback<T>) -> Unit
) {
// 标记回调是否已触发,保证 onSuccess/onError 至多执行一次
val fired = AtomicBoolean(false)
// 包装后的安全回调,所有出口都经过它,避免重复回调
val safeCallback = object : PlcCallback<T> {
override fun onSuccess(result: T) {
if (fired.compareAndSet(false, true)) callback.onSuccess(result)
}
override fun onError(message: String) {
if (fired.compareAndSet(false, true)) callback.onError(message)
}
}
// 超时定时器:到期未收到 SDK 回调则触发 onError
val timeoutRunnable = Runnable {
safeCallback.onError("PLC 操作超时(${timeoutMs}ms)未响应")
}
mainHandler.postDelayed(timeoutRunnable, timeoutMs)
// 发起实际 SDK 调用,所有成功/失败都通过 safeCallback 回调
action(object : PlcCallback<T> {
override fun onSuccess(result: T) {
// 成功后取消超时定时器
mainHandler.removeCallbacks(timeoutRunnable)
safeCallback.onSuccess(result)
}
override fun onError(message: String) {
// 失败同样取消超时定时器
mainHandler.removeCallbacks(timeoutRunnable)
safeCallback.onError(message)
}
})
}
// ==================== 连接与模式 ====================
/**
@@ -43,8 +102,10 @@ class PlcHelper private constructor(context: Context) {
* 打开自动模式(应用启动时调用一次)
*/
fun openAutoMode(callback: PlcCallback<String>) {
sdk.actionOpenAutoMode { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(5000, callback) { safe ->
sdk.actionOpenAutoMode { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
@@ -52,76 +113,90 @@ class PlcHelper private constructor(context: Context) {
* 故障复位(出现 alarmCode 或补盘完成后调用)
*/
fun alarmReset(callback: PlcCallback<String>) {
sdk.actionAlarmReset { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(5000, callback) { safe ->
sdk.actionAlarmReset { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
// ==================== 出盘操作 ====================
/**
* 出盘
* 出盘(机械动作,超时 10s
*/
fun outPlate(callback: PlcCallback<String>) {
sdk.actionOutPlate { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(10000, callback) { safe ->
sdk.actionOutPlate { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
// ==================== 平台控制 ====================
/**
* 平台下降(开始补盘)
* 平台下降(开始补盘,超时 8s
*/
fun platformDown(callback: PlcCallback<String>) {
sdk.actionPlatformDown { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(8000, callback) { safe ->
sdk.actionPlatformDown { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
/**
* 平台上升(补盘完成)
* 平台上升(补盘完成,超时 8s
*/
fun platformUp(callback: PlcCallback<String>) {
sdk.actionPlatformDownStop { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(8000, callback) { safe ->
sdk.actionPlatformDownStop { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
/**
* 补盘完成返回营业(自动模式 + 故障复位)
* 补盘完成返回营业(自动模式 + 故障复位,超时 5s
*/
fun backToBusiness(callback: PlcCallback<String>) {
sdk.actionOpenAutoModeAndActionAlarmReset { result ->
mainHandler.post { callback.onSuccess(result.toString()) }
withTimeout(5000, callback) { safe ->
sdk.actionOpenAutoModeAndActionAlarmReset { result ->
mainHandler.post { safe.onSuccess(result.toString()) }
}
}
}
// ==================== 状态查询 ====================
/**
* 获取 PLC 状态(解析为 PlcStatus 对象)
* 获取 PLC 状态(解析为 PlcStatus 对象,超时 3s
*/
fun getStatus(callback: PlcCallback<PlcStatus>) {
sdk.getPlcStatus { json ->
mainHandler.post {
if (json != null) {
callback.onSuccess(PlcStatus.Companion.fromJson(json.toString()))
} else {
callback.onError("获取状态失败")
withTimeout(3000, callback) { safe ->
sdk.getPlcStatus { json ->
mainHandler.post {
if (json != null) {
safe.onSuccess(PlcStatus.Companion.fromJson(json.toString()))
} else {
safe.onError("获取状态失败")
}
}
}
}
}
/**
* 获取 PLC 状态(原始 JSON 字符串)
* 获取 PLC 状态(原始 JSON 字符串,超时 3s
*/
fun getStatusJson(callback: PlcCallback<String>) {
sdk.getPlcStatus { json ->
mainHandler.post {
if (json != null) callback.onSuccess(json.toString())
else callback.onError("获取状态失败")
withTimeout(3000, callback) { safe ->
sdk.getPlcStatus { json ->
mainHandler.post {
if (json != null) safe.onSuccess(json.toString())
else safe.onError("获取状态失败")
}
}
}
}
@@ -129,16 +204,18 @@ class PlcHelper private constructor(context: Context) {
// ==================== 参数设置 ====================
/**
* 设置 PLC 参数
* 设置 PLC 参数(超时 3s
* @param paramType 参数类型(如 "18FD" 表示主电机运行最长时间)
* @param paramValue 参数值(int,单位 0.1s
*/
fun setParams(paramType: String, paramValue: Int, callback: PlcCallback<String>) {
sdk.setPLCParams(
{ result -> mainHandler.post { callback.onSuccess(result.toString()) } },
paramType,
paramValue
)
withTimeout(3000, callback) { safe ->
sdk.setPLCParams(
{ result -> mainHandler.post { safe.onSuccess(result.toString()) } },
paramType,
paramValue
)
}
}
// ==================== 生命周期 ====================
@@ -82,12 +82,17 @@ class NetViewModelV2 : ViewModel() {
}
withContext(Dispatchers.Default) {
if (currentPageNo == 1) {
//第一页数据删除本地数据库
//第一页数据删除本地数据库,同时重置时间戳
faceApi.clearFaceData()
faceTimestamp = 0L
}
faceApi.updateFaceData(pageNo, faceEntityList)
if (list.size >= pageSize) {
faceTimestamp = list.last().faceUpdateTimestamp ?: 0
// 取当前页最大时间戳,与已累积的比较取最大值
val pageMaxTimestamp = maxFaceTimestamp(list)
if (pageMaxTimestamp > faceTimestamp) {
faceTimestamp = pageMaxTimestamp
}
currentPageNo++
getUserFaceCache(
pageNo = currentPageNo, callback = callback
@@ -95,7 +100,11 @@ class NetViewModelV2 : ViewModel() {
return@withContext
}
if (list.isNotEmpty()) {
faceTimestamp = list.last().faceUpdateTimestamp ?: 0
// 最后一页:取当前页最大时间戳,与已累积的比较取最大值
val pageMaxTimestamp = maxFaceTimestamp(list)
if (pageMaxTimestamp > faceTimestamp) {
faceTimestamp = pageMaxTimestamp
}
}
SpTool.lastFaceTimestamp = faceTimestamp
callback(true, "查询完成")
@@ -161,7 +170,7 @@ class NetViewModelV2 : ViewModel() {
/**
* 获取人脸数据
* 增量获取人脸数据(支持分页递归,取所有页中的最大时间戳)
*/
fun getFaceIncrementList(
pageNo: Int = 1,
@@ -169,9 +178,10 @@ class NetViewModelV2 : ViewModel() {
timestamp: Long,
refreshFaceList: () -> Unit
) {
var currentPageNo = pageNo
viewModelScope.launch {
val response = repository.getFaceIncrementList(
pageNum = pageNo.toLong(),
pageNum = currentPageNo.toLong(),
pageSize = pageSize.toLong(),
timestamp = timestamp
)
@@ -181,10 +191,27 @@ class NetViewModelV2 : ViewModel() {
withContext(Dispatchers.IO) {
val list = response.data ?: emptyList()
updateFaceData(list)
if (list.isNotEmpty()) {
faceTimestamp = list.last().faceUpdateTimestamp ?: 0
// 取当前页最大时间戳,与已累积的比较取最大值
val pageMaxTimestamp = maxFaceTimestamp(list)
if (pageMaxTimestamp > faceTimestamp) {
faceTimestamp = pageMaxTimestamp
}
if (list.size >= pageSize) {
// 还有下一页,继续递归拉取
currentPageNo++
getFaceIncrementList(
pageNo = currentPageNo,
pageSize = pageSize,
timestamp = timestamp,
refreshFaceList = refreshFaceList
)
return@withContext
}
// 所有页拉取完毕,保存最终时间戳(只升不降)
val storedTimestamp = SpTool.lastFaceTimestamp
if (faceTimestamp > storedTimestamp) {
SpTool.lastFaceTimestamp = faceTimestamp
}
SpTool.lastFaceTimestamp = faceTimestamp
try {
refreshFaceList()
} catch (e: Exception) {
@@ -199,14 +226,24 @@ class NetViewModelV2 : ViewModel() {
list.forEach { model ->
if (model.faceDeleted == true) {
//删除数据
faceApi.deleteByUserName(model.userId)
// 仅删除 userFaceId 对应的单条人脸记录,避免误删该用户名下所有特征
val userFaceId = model.userFaceId
if (!userFaceId.isNullOrEmpty()) {
faceApi.deleteByUserFaceId(userFaceId)
}
} else {
// 获取该用户所有已存特征,判断当前特征是否已存在
// 优先按 userFaceId 精确判重,避免特征字段不一致导致重复入库
val userFaceId = model.userFaceId
if (!userFaceId.isNullOrEmpty() && faceApi.queryByUserFaceId(userFaceId) != null) {
// 本地已存在该 userFaceId,跳过插入
return@forEach
}
// userFaceId 为空时,回退到特征比较去重(修正字段来源,保证与入库一致)
val featureStr = model.resolveFeatureStr()
val existList = faceApi.queryAllByUserName(model.userId)
val featureMatches =
existList.map { Base64.encode(it.featureData) == model.faceFeatureStr }
Timber.d("userId=${model.userId}, 已存记录数=${existList.size}, 各条特征是否与服务器一致=$featureMatches")
val alreadyExists = featureMatches.any { it }
val alreadyExists = existList.any { entity ->
featureStr != null && Base64.encode(entity.featureData) == featureStr
}
if (!alreadyExists) {
faceApi.insert(model.toFaceEntity())
}
@@ -222,18 +259,50 @@ class NetViewModelV2 : ViewModel() {
*/
fun addUserFace(faceData: String, imageFile: File, block: (Boolean, UserFaceModelV2?) -> Unit) {
viewModelScope.launch {
val imageResp = repository.uploadImage(imageFile)
val imageUrl = imageResp.data ?: ""
if (imageUrl.isBlank()) {
try {
val imageResp = repository.uploadImage(imageFile)
val imageUrl = imageResp.data ?: ""
if (imageUrl.isBlank()) {
block(false, null)
return@launch
}
val faceResp = repository.addUserFace(faceData, imageUrl)
if (faceResp.isSuccess().not()) {
block(false, null)
return@launch
}
block(true, faceResp.data)
} catch (e: Exception) {
// 网络或解析异常时同样回调失败,避免 block 永不触发导致上层无反馈
e.printStackTrace()
block(false, null)
return@launch
}
val faceResp = repository.addUserFace(faceData, imageUrl)
if (faceResp.isSuccess().not()) {
block(false, null)
return@launch
}
}
/**
* 取餐盘上报(P-09a):记录用户开始就餐时刻,作为后续就餐记录(P-09)的强前置。
* 失败仅回调通知,不阻断吐盘等业务主流程。
*
* @param userId 用户 id(餐盘号 = userId
* @param callback 上报结果回调:Boolean 是否成功,String? 成功为 recordNo、失败为错误信息
*/
fun platePickup(
userId: Long,
callback: (Boolean, String?) -> Unit = { _, _ -> }
) {
viewModelScope.launch {
try {
val response = repository.platePickup(userId)
if (response.isSuccess()) {
callback(true, response.data)
} else {
callback(false, response.msg)
}
} catch (e: Exception) {
e.printStackTrace()
callback(false, e.message)
}
block(true, faceResp.data)
}
}
@@ -246,4 +315,11 @@ class NetViewModelV2 : ViewModel() {
}
}
/**
* 从人脸数据列表中取出最大的 faceUpdateTimestamp(跳过 null 值)
*/
private fun maxFaceTimestamp(list: List<UserFaceModelV2>): Long {
return list.mapNotNull { it.faceUpdateTimestamp }.maxOrNull() ?: 0L
}
}
@@ -324,6 +324,54 @@
android:textColor="#FFCC99"
android:textSize="22sp" />
<!-- ===== 人脸库 ===== -->
<TextView
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_marginTop="24dp"
android:text="人脸库"
android:textColor="#FFCC99"
android:textSize="20sp"
android:textStyle="bold" />
<LinearLayout
android:layout_width="match_parent"
android:layout_height="wrap_content"
android:layout_marginTop="10dp"
android:orientation="horizontal">
<TextView
android:id="@+id/tvFaceCount"
android:layout_width="0dp"
android:layout_height="60dp"
android:layout_weight="1"
android:background="@drawable/btn_outline"
android:gravity="center"
android:text="人脸总数:--"
android:textColor="#FFCC99"
android:textSize="20sp" />
<View
android:layout_width="20dp"
android:layout_height="1dp" />
<TextView
android:id="@+id/btnRefreshFaceCount"
android:layout_width="0dp"
android:layout_height="60dp"
android:layout_weight="1"
android:background="@drawable/btn_outline"
android:gravity="center"
android:text="刷新"
android:textColor="#FFCC99"
android:textSize="20sp" />
</LinearLayout>
<View
android:layout_width="match_parent"
android:layout_height="30dp" />
</LinearLayout>
</ScrollView>
@@ -11,6 +11,9 @@
android:id="@+id/tvLeftDate"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:minHeight="64dp"
android:gravity="center_vertical"
android:paddingHorizontal="12dp"
app:layout_constraintTop_toTopOf="parent"
app:layout_constraintStart_toStartOf="parent"
app:layout_constraintBottom_toBottomOf="parent">
@@ -36,6 +39,8 @@
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:gravity="center_vertical"
android:minHeight="64dp"
android:paddingHorizontal="12dp"
android:textColor="#FFF0C8B4"
android:textSize="24sp"
app:layout_constraintEnd_toEndOf="parent"
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+1 -1
View File
@@ -13,7 +13,7 @@ android {
consumerProguardFiles("consumer-rules.pro")
ndk {
abiFilters.addAll(listOf("armeabi-v7a"/*, "arm64-v8a"*/))
abiFilters.addAll(listOf("armeabi-v7a", "arm64-v8a"))
}
}
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@@ -91,6 +91,24 @@ public class FaceApi {
getFaceDao().deleteFaceById(userName);
}
/**
* 按 userFaceId 删除单条人脸记录
*/
public void deleteByUserFaceId(String userFaceId) {
getFaceDao().deleteFaceByUserFaceId(userFaceId);
}
/**
* 按 userFaceId 查询单条人脸记录
*/
public FaceEntity queryByUserFaceId(String userFaceId) {
if (userFaceId == null || userFaceId.isEmpty()) {
return null;
}
return getFaceDao().queryByUserFaceId(userFaceId);
}
public Long insert(FaceEntity entity) {
if (entity == null) {
return 0L;
@@ -39,7 +39,6 @@ import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Enumeration;
import java.util.List;
import java.util.Map;
@@ -104,6 +103,10 @@ public class FaceHelper implements FaceListener {
* 活体检测引擎
*/
private FaceEngine flEngine;
/**
* 口罩检测引擎(5.0 独立引擎)
*/
private FaceEngine maskEngine;
private Camera.Size previewSize;
@@ -148,11 +151,6 @@ public class FaceHelper implements FaceListener {
*/
private boolean onlyDetectLiveness;
/**
* 是否需要更新faceData
*/
private boolean needUpdateFaceData;
/**
* 识别的配置项
*/
@@ -182,9 +180,9 @@ public class FaceHelper implements FaceListener {
}
private FaceHelper(Builder builder) {
needUpdateFaceData = builder.needUpdateFaceData;
onlyDetectLiveness = builder.onlyDetectLiveness;
ftEngine = builder.ftEngine;
maskEngine = builder.maskEngine;
trackedFaceCount = builder.trackedFaceCount;
previewSize = builder.previewSize;
frEngine = builder.frEngine;
@@ -352,11 +350,11 @@ public class FaceHelper implements FaceListener {
return facePreviewInfoList;
}
}
if (!onlyDetectLiveness) {
code = ftEngine.process(rgbNv21, previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, faceInfoList,
if (!onlyDetectLiveness && maskEngine != null) {
code = maskEngine.process(rgbNv21, previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, faceInfoList,
FaceEngine.ASF_MASK_DETECT);
if (code == ErrorInfo.MOK) {
code = ftEngine.getMask(maskInfoList);
code = maskEngine.getMask(maskInfoList);
if (code != ErrorInfo.MOK) {
onFail(new Exception("process getMask failed,code is " + code));
return facePreviewInfoList;
@@ -880,18 +878,7 @@ public class FaceHelper implements FaceListener {
int fdCode = flEngine.detectFaces(nv21Data, width, height, format, faceInfoList);
boolean isFaceExists = isFaceExists(faceInfoList, faceInfo);
if (fdCode == ErrorInfo.MOK && isFaceExists) {
if (needUpdateFaceData) {
/*
* 若IR人脸框有偏移,则需要对IR的人脸数据进行updateFaceData处理,再将处理后的FaceInfo信息传输给活体检测接口
*/
flCode = flEngine.updateFaceData(nv21Data, previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21,
new ArrayList<>(Collections.singletonList(faceInfo)));
if (flCode == ErrorInfo.MOK) {
flCode = flEngine.processIr(nv21Data, width, height, format, Arrays.asList(faceInfo), FaceEngine.ASF_IR_LIVENESS);
}
} else {
flCode = flEngine.processIr(nv21Data, width, height, format, Arrays.asList(faceInfo), FaceEngine.ASF_IR_LIVENESS);
}
flCode = flEngine.processIr(nv21Data, width, height, format, Arrays.asList(faceInfo), FaceEngine.ASF_IR_LIVENESS);
} else {
onFail(new Exception("ir detectFaces failed fdCode:" + fdCode + ",isFaceExists:" + isFaceExists));
}
@@ -1098,9 +1085,9 @@ public class FaceHelper implements FaceListener {
private FaceEngine ftEngine;
private FaceEngine frEngine;
private FaceEngine flEngine;
private FaceEngine maskEngine;
private Camera.Size previewSize;
private boolean onlyDetectLiveness;
private boolean needUpdateFaceData;
private RecognizeConfiguration recognizeConfiguration;
private RecognizeCallback recognizeCallback;
private IDualCameraFaceInfoTransformer dualCameraFaceInfoTransformer;
@@ -1141,6 +1128,11 @@ public class FaceHelper implements FaceListener {
return this;
}
public Builder maskEngine(FaceEngine val) {
maskEngine = val;
return this;
}
public Builder previewSize(Camera.Size val) {
previewSize = val;
return this;
@@ -1166,11 +1158,6 @@ public class FaceHelper implements FaceListener {
return this;
}
public Builder needUpdateFaceData(boolean val) {
needUpdateFaceData = val;
return this;
}
public FaceHelper build() {
return new FaceHelper(this);
}
@@ -9,7 +9,7 @@ import androidx.room.RoomDatabase;
import com.sw.plate.utils.arcface.facedb.dao.FaceDao;
import com.sw.plate.utils.arcface.facedb.entity.FaceEntity;
@Database(entities = {FaceEntity.class}, version = 1, exportSchema = false)
@Database(entities = {FaceEntity.class}, version = 2, exportSchema = false)
public abstract class FaceDatabase extends RoomDatabase {
public abstract FaceDao faceDao();
@@ -22,7 +22,10 @@ public abstract class FaceDatabase extends RoomDatabase {
faceDatabase = Room.databaseBuilder(context, FaceDatabase.class,
context.getDatabasePath("faceDB.db").getPath()
// context.getExternalFilesDir("database") + File.separator + "faceDB.db"
).build();
)
// 5.0 特征模型不兼容,升级时直接删除旧表重建
.fallbackToDestructiveMigration()
.build();
}
}
}
@@ -55,6 +55,18 @@ public interface FaceDao {
@Query("DELETE from face WHERE user_name = :userName")
int deleteFaceById(String userName);
/**
* 按 userFaceId 删除单条人脸记录
*/
@Query("DELETE from face WHERE user_face_id = :userFaceId")
int deleteFaceByUserFaceId(String userFaceId);
/**
* 按 userFaceId 查询单条人脸记录
*/
@Query("SELECT * FROM face WHERE user_face_id = :userFaceId LIMIT 1")
FaceEntity queryByUserFaceId(String userFaceId);
/**
* 删除所有已注册的人脸
*
@@ -58,7 +58,7 @@ public class FaceEntity implements Parcelable {
@Ignore
private int trackId;//人脸追踪ID
@ColumnInfo(name = "user_idd")
@ColumnInfo(name = "user_id")
private String userId;
@ColumnInfo(name = "user_face_id")
private String userFaceId;
@@ -12,7 +12,6 @@ import androidx.lifecycle.ViewModel;
import com.arcsoft.face.AgeInfo;
import com.arcsoft.face.ErrorInfo;
import com.arcsoft.face.FaceAttributeParam;
import com.arcsoft.face.FaceEngine;
import com.arcsoft.face.FaceInfo;
import com.arcsoft.face.GenderInfo;
@@ -132,13 +131,14 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
private MutableLiveData<Integer> ftInitCode = new MutableLiveData<>();
private MutableLiveData<Integer> frInitCode = new MutableLiveData<>();
private MutableLiveData<Integer> flInitCode = new MutableLiveData<>();
private MutableLiveData<Integer> maskInitCode = new MutableLiveData<>();
/**
* 人脸操作辅助类,推帧即可,内部会进行特征提取、识别
*/
private FaceHelper faceHelper;
/**
* VIDEO模式人脸检测引擎,用于预览帧人脸追踪及图像质量检测
* VIDEO模式人脸检测引擎,用于预览帧人脸追踪
*/
private FaceEngine ftEngine;
/**
@@ -149,6 +149,10 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
* IMAGE模式活体检测引擎,用于预览帧人脸活体检测
*/
private FaceEngine flEngine;
/**
* IMAGE模式口罩检测引擎(5.0 独立引擎)
*/
private FaceEngine maskEngine;
private PreviewConfig previewConfig;
@@ -160,10 +164,6 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
private MutableLiveData<CompareResult> recognizeUserId = new MutableLiveData<>();
/**
* 检测ir活体前,是否需要更新faceData
*/
private boolean needUpdateFaceData;
/**
* 当前活体检测的检测类型
*/
@@ -297,22 +297,22 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
.similarThreshold(ConfigUtil.getRecognizeThreshold(context))
.imageQualityNoMaskRecognizeThreshold(ConfigUtil.getImageQualityNoMaskRecognizeThreshold(context))
.imageQualityMaskRecognizeThreshold(ConfigUtil.getImageQualityMaskRecognizeThreshold(context))
.livenessParam(new LivenessParam(ConfigUtil.getRgbLivenessThreshold(context), ConfigUtil.getIrLivenessThreshold(context),
ConfigUtil.getLivenessFqThreshold(context)))
.livenessParam(new LivenessParam(ConfigUtil.getRgbLivenessThreshold(context), ConfigUtil.getIrLivenessThreshold(context)))
.build();
int cameraOffsetX = ConfigUtil.getDualCameraHorizontalOffset(context);
int cameraOffsetY = ConfigUtil.getDualCameraVerticalOffset(context);
needUpdateFaceData = (livenessType == LivenessType.IR && (cameraOffsetX != 0 || cameraOffsetY != 0));
// 人脸追踪引擎(VIDEO模式,仅检测)
ftEngine = new FaceEngine();
int ftEngineMask = FaceEngine.ASF_FACE_DETECT | FaceEngine.ASF_MASK_DETECT;
int ftEngineMask = FaceEngine.ASF_FACE_DETECT;
ftInitCode.postValue(ftEngine.init(context, DetectMode.ASF_DETECT_MODE_VIDEO, ConfigUtil.getFtOrient(context),
ConfigUtil.getRecognizeMaxDetectFaceNum(context), ftEngineMask));
FaceAttributeParam attributeParam = new FaceAttributeParam(
ConfigUtil.getRecognizeEyeOpenThreshold(context), ConfigUtil.getRecognizeMouthCloseThreshold(context),
ConfigUtil.getRecognizeWearGlassesThreshold(context));
ftEngine.setFaceAttributeParam(attributeParam);
// 口罩检测引擎(5.0 独立引擎)
maskEngine = new FaceEngine();
maskInitCode.postValue(maskEngine.init(context, DetectMode.ASF_DETECT_MODE_IMAGE,
DetectFaceOrientPriority.ASF_OP_ALL_OUT,
ConfigUtil.getRecognizeMaxDetectFaceNum(context), FaceEngine.ASF_MASK_DETECT));
// 特征提取引擎
frEngine = new FaceEngine();
int frEngineMask = FaceEngine.ASF_FACE_RECOGNITION;
if (enableFaceQualityDetect) {
@@ -322,16 +322,13 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
10, frEngineMask));
FaceServer.getInstance().initFaceList(context, frEngine, faceCount -> loadFaceList = true, true);
//启用活体检测时,才初始化活体引擎
// 启用活体检测时,才初始化活体引擎
if (enableLive) {
flEngine = new FaceEngine();
int flEngineMask = (livenessType == LivenessType.RGB ? FaceEngine.ASF_LIVENESS : (FaceEngine.ASF_IR_LIVENESS | FaceEngine.ASF_FACE_DETECT));
if (needUpdateFaceData) {
flEngineMask |= FaceEngine.ASF_UPDATE_FACEDATA;
}
flInitCode.postValue(flEngine.init(context, DetectMode.ASF_DETECT_MODE_IMAGE,
DetectFaceOrientPriority.ASF_OP_ALL_OUT, 10, flEngineMask));
LivenessParam livenessParam = new LivenessParam(ConfigUtil.getRgbLivenessThreshold(context), ConfigUtil.getIrLivenessThreshold(context), ConfigUtil.getLivenessFqThreshold(context));
LivenessParam livenessParam = new LivenessParam(ConfigUtil.getRgbLivenessThreshold(context), ConfigUtil.getIrLivenessThreshold(context));
flEngine.setLivenessParam(livenessParam);
}
@@ -356,19 +353,25 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
if (ftEngine != null) {
synchronized (ftEngine) {
int ftUnInitCode = ftEngine.unInit();
Log.i(TAG, "unInitEngine: " + ftUnInitCode);
Log.i(TAG, "unInitEngine ft: " + ftUnInitCode);
}
}
if (maskEngine != null) {
synchronized (maskEngine) {
int maskUnInitCode = maskEngine.unInit();
Log.i(TAG, "unInitEngine mask: " + maskUnInitCode);
}
}
if (frEngine != null) {
synchronized (frEngine) {
int frUnInitCode = frEngine.unInit();
Log.i(TAG, "unInitEngine: " + frUnInitCode);
Log.i(TAG, "unInitEngine fr: " + frUnInitCode);
}
}
if (flEngine != null) {
synchronized (flEngine) {
int flUnInitCode = flEngine.unInit();
Log.i(TAG, "unInitEngine: " + flUnInitCode);
Log.i(TAG, "unInitEngine fl: " + flUnInitCode);
}
}
}
@@ -469,7 +472,7 @@ public class RecognizeViewModel extends ViewModel implements RecognizeCallback {
.ftEngine(ftEngine)
.frEngine(frEngine)
.flEngine(flEngine)
.needUpdateFaceData(needUpdateFaceData)
.maskEngine(maskEngine)
.frQueueSize(maxDetectFaceNum)
.flQueueSize(maxDetectFaceNum)
.previewSize(previewSize)