用GameLoop模拟器在電腦上玩Hidden Camera Detector

Hidden Camera Detector 電腦版

來自發行商 4 Tech Solutions 的 Hidden Camera Detector 能夠在安卓系統上運行。

現在，您可以在電腦上使用 GameLoop 模擬器流暢地玩 Hidden Camera Detector。

在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。

只需在電腦大屏幕上免費下載暢玩Hidden Camera Detector 電腦版！

Hidden Camera Detector 簡介

detect hidden cameras and microphones use to detect potential hidden cameras and microphones in your surroundings. Spy cameras are so common these days because of the advancement in technology they come in very small sizes. Due to the small size they are not recognizable easily. By using this detect hidden cameras and microphones app you can find out the area nearby where magnetic field value is higher. You can then manually check that area for hidden camera detection purpose.

The hidden camera detector feature uses magnetometer sensor to find out magnetic value of surroundings. These readings are then calculated to find out higher magnetic field. When the magnetic field is higher than usual, the app tells user to check the nearby area for any surveillance device.

Usage of this app is very simple. You can use this as hidden microphone detector to check your living room, hotel room, rest room or changing room for any hidden devices. You just have to open the hidden device detector section of the app and then move your phone in the surroundings. When it tells you that magnetic field is higher than usual you just have to check the area manually because this means there may be an electronic bug or spying device in that area.

Hidden Camera Detector can be used as a multipurpose bug detector scanner because of its capability to let you know about surrounding magnetic field. When you are staying in public places due to work or any other purpose you can use this to detect hidden cameras such as when you are staying in hotel or public room. Hidden device detector will help you to get rid of anyone breaching your privacy.

We have also added some tips to manually detect electronic devices. You can check these details in the 'Tips for manual detection' section of the app.