Kendaraan Kamera CCTV AHD Untuk Bus Infrared Audio Monitoring Kupu-kupu Sudut Besar

Bus CCTV Kamera Infrared audio pemantauan kupu-kupu wide-angle kendaraan dipasang kamera AHD

Select the installation location of the car camera   There are generally three installation positions to choose from  which are installed around the driver's seat sunshade   around the passenger's seat sunshade   and at the center roof of the passenger's seat   There is not much difference in these three installation methods   so you can choose according to the owner's taste

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Perekam video mobil kamera mobil mobil kamera USB kamera mobil tampilan kamera USB

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Metode/Langkah:  First    take out the machine and debug it  The position of the front camera is fixed with screws and does not require drilling   The position of the rear camera is the same as the installation process of the front camera   Install the left camera under the rearview mirror    drill a hole with an electric drill   and fix it in place

Ada dua posisi pemasangan untuk kamera belakang dari perekam mengemudi:  one is installed on the license plate lampshade    and the other is installed on the rear glass inside the car    There are generally two ways to correctly operate the rear view camera of a driving recorder   and the installation method is also different    One is installed on the license plate lampshade    which is waterproof and can also be used as a reverse image

In order to ensure road safety    the onboard camera function needs to operate around the clock as much as possible    Car mounted cameras perceive the surrounding environment through photosensitivity and algorithms    Therefore    in scenarios with insufficient lighting such as driving at night or passing through tunnels   it is necessary to enhance the camera's night vision ability    At present    car night vision systems can be divided

menjadi tiga kategori berdasarkan prinsip pencitraan dan lensa: cahaya rendah dekat - inframerah dan jauh inframerah
Sistem bantuan penglihatan malam yang ada dapat mengenali pejalan kaki di luar jangkauan cahaya tinggi dan memprediksi bahaya sebelumnya. prediksi sebelumnya untuk membantu pengemudi dalam mengemudi yang aman