Untitled.gif
效果图如上
实现：
1.创建一个控制器，设置控制器的view背景色为黑色，隐藏导航栏
2.创建一个中心显示View，添加UI框框图，以及动画图，返回按钮，相册按钮布局。
3.设置中心view的坐标、以及超出不显示。
4.loadView添加一个蒙版View设置背景色为黑色0.1透明，在viewDidLayoutSubviews在这个蒙版 绘制(裁剪)一个空白的view大小和中心显示vIew一样大。
5.检查相机权限，初始化相机会话。
6.开始铺捉相机，设置扫码回调代理，相机、相册自动识别。
代码如下
import UIKit
import AVFoundation
import PromiseKit
class QRAnmitionVc: SBaseVc {
@IBOutlet weak var centerView: UIView!
@IBOutlet weak var anmitionImageTopCons: NSLayoutConstraint!
@IBOutlet weak var tipsLable: UILabel!
@IBOutlet weak var anmitionImage: UIImageView!
@IBOutlet weak var backBtn: UIButton!
//扫描成功的回调
public var scanSuccessBlock: BlockWithParameters<String>?
//摄像头会话
private lazy var session : AVCaptureSession = {
let session = AVCaptureSession()
if session.canSetSessionPreset(.high){
session.sessionPreset = .high
}
return session
}()
//背景蒙版遮罩层
private lazy var backgroundView : UIView = {
let bgView = UIView(frame: self.view.bounds)
bgView.backgroundColor = .black.withAlphaComponent(0.1)
return bgView
}()
override func loadView() {
super.loadView()
view.addSubview(backgroundView)
// 调整到父视图的最下面
self.view.sendSubviewToBack(backgroundView)
}
override func viewDidLayoutSubviews() {
super.viewDidLayoutSubviews()
creatMaskLayer()
}
override func viewDidLoad() {
super.viewDidLoad()
self.isHiddenNavBar = true
view.backgroundColor = .black
//超出部分不显示
centerView.layer.masksToBounds = true
beginAnmitionToView()
checkCameraAuth()
centerView.backgroundColor = .clear
}
//添加遮罩层 并且扣出一部分
func creatMaskLayer(){
let maskLayer = CAShapeLayer()
maskLayer.fillRule = CAShapeLayerFillRule.evenOdd // 显示规则
let basicPath = UIBezierPath(rect: view.frame) //底层
let maskPath = UIBezierPath(roundedRect: centerView.frame, cornerRadius: 40) //自定义抠出来框框出来
basicPath.append(maskPath)
maskLayer.path = basicPath.cgPath
backgroundView.layer.mask = maskLayer
}
//开始从下往下无限动画
func beginAnmitionToView(){
//无限循环的动画
anmitionImage.transform = .identity
UIView.animate(withDuration: 2) {
self.anmitionImage.transform = CGAffineTransform(translationX: 0, y: self.centerView.view_height - self.anmitionImageTopCons.constant)
}completion: { [weak self] (falg) in
self?.beginAnmitionToView()
}
}
//检查相机权限
private func checkCameraAuth(){
let status = AVCaptureDevice.authorizationStatus(for: .video)
switch status {
case .notDetermined:
AVCaptureDevice.requestAccess(for: .video) { [weak self] (agree) in
agree ? self?.loadSession() : nil
}
case .restricted:
print("无法访问摄像头")
case .denied:
print("请到手机系统的\n【设置】->【隐私】->【相册】\n开启相册的访问权限")
case .authorized:
self.loadSession()
default:break
}
}
//加载摄像头
private func loadSession(){
DispatchQueue.global().async {
// 捕捉设备
guard let device = AVCaptureDevice.default(for: .video) else {
print("捕捉设备失败")
return
}
//输入
guard let input = try? AVCaptureDeviceInput(device: device) else {
print("输入设备失败")
return
}
//输出
let output:AVCaptureMetadataOutput = {
let output = AVCaptureMetadataOutput()
output.connection(with: .metadata)
return output
}()
//设置代理
output.setMetadataObjectsDelegate(self, queue: DispatchQueue.main)
// 捕捉会话加入input和output
if self.session.canAddInput(input) && self.session.canAddOutput(output) {
self.session.addInput(input)
self.session.addOutput(output)
// 设置元数据处理类型(注意, 一定要将设置元数据处理类型的代码添加到 会话添加输出之后)
output.metadataObjectTypes = [.ean13, .ean8, .upce, .code39, .code93, .code128, .code39Mod43, .qr]
}
DispatchQueue.main.async {
// 指定预览层的捕捉会话
let preLayer = AVCaptureVideoPreviewLayer(session: self.session)
preLayer.videoGravity = .resizeAspectFill
preLayer.frame = self.view.bounds
// 添加预览图层
self.view.layer.insertSublayer(preLayer, at: 0)
// 启动会话
self.session.startRunning()
// 3秒后更改提示
after(seconds: 3).done{ [weak self] in
self?.tipsLable.text = "请对准二维码，耐心等待"
}
}
}
}
@IBAction func backAction(_ sender: Any) {
popAction()
}
@IBAction func openSystemPhotosAction(_ sender: Any) {
guard UIImagePickerController.isSourceTypeAvailable(.photoLibrary) else {
return
}
let imagePickerVC = UIImagePickerController()
imagePickerVC.delegate = self
present(imagePickerVC, animated: true, completion: nil)
}
}
extension QRAnmitionVc : AVCaptureMetadataOutputObjectsDelegate{
func metadataOutput(_ output: AVCaptureMetadataOutput, didOutput metadataObjects: [AVMetadataObject], from connection: AVCaptureConnection) {
guard let codeObject = metadataObjects.first as? AVMetadataMachineReadableCodeObject,
let resultStr = codeObject.stringValue else {
return
}
//在这里做相对应的处理
print("=======================识别出来的数据\(resultStr)============")
}
}
// MARK: - UIImagePickerControllerDelegate
extension QRAnmitionVc: UIImagePickerControllerDelegate & UINavigationControllerDelegate {
func imagePickerController(_ picker: UIImagePickerController, didFinishPickingMediaWithInfo info: [UIImagePickerController.InfoKey : Any]) {
guard let image = info[.originalImage] as? UIImage else {
return
}
picker.dismiss(animated: true) { [weak self] in
guard let resultStr = self?.detectorQrCode(image: image) else {
print("图片无效")
return
}
SLog(resultStr)
self?.scanSuccessBlock?(resultStr)
}
}
/// 识别图片二维码
public func detectorQrCode(image: UIImage) -> String? {
guard let ciImage = CIImage(image: image) else {
return nil
}
guard let detector = CIDetector(ofType: CIDetectorTypeQRCode, context: nil, options: [CIDetectorAccuracy: CIDetectorAccuracyLow]) else {
return nil
}
let results = detector.features(in: ciImage)
guard let code = results.first as? CIQRCodeFeature else { return nil }
return code.messageString
}
}
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