Raspberry Pi 5MP 175° FOV Camera Image Sensor Infrared OV5647 Wide-Angle Fisheye HD Lens

This camera features the OmniVision Technologies' CMOS image sensor OV5647, featuring a 175° wide-angle fisheye HD lens, capable of providing 5 megapixels high-definition images. It supports manual focus with a maximum resolution of 2592*1944. Weighing 32g, it equipped with infrared fill light and supports infrared night vision. The built-in IR-CUT filter allows automatic switching between day and night modes. It suitable for the Raspberry Pi series boards.

Product Features

  • High-definition fisheye lens, 5 megapixels
  • Onboard CMOS image sensor OV5647 for clearer and more stable images
  • 175° field of view for a larger visual range, supports manual adjustment of shooting focus distance (rotating the lens)
  • Equipped with infrared fill light, supports infrared night vision
  • Built-in IR-CUT for automatic switching between day and night modes
  • Compatible with Raspberry Pi 2/3B+/4 series boards
  • Suitable for various applications such as face recognition, QR code recognition, and license plate recognition, and more.

Product Specifications

ItemOV5647 C5M 175 NV
Size

30.58mm(Length) x 32mm(Width) x24.5mm(High)

±0.5mm

Temperature(Operation)-20℃~70℃
Temperature(Stable Image)0℃~50℃
Assembly TechniqueSMT(ROSH)
FocusFixed
Object Distance30CM~∞
Resolution800LW/PH(Center)
Interface15p-1.0 mipi
Working power supply3.3v(pin15)
Operating System RequestRaspberry Pi 2/3B+/4 series
MicrophoneNot supported
Module PackageAnti-electrostatic tray
SensorOV5647(1/4" )
Active Array Size2592 x 1944
Sensitivity60mv /(lux-sec)
Pixel Size4µm * 4µm
Maximum Image Transfer Rate15 fps for QSXGA
Output formats8/10bit RGB RAW output
S/N Ratio34db
Dynamic Range67db @8x gain
PackageCSP,Bare Die
Lens Construction6G
F/No2.0
EFL1.7mm
BFL(Optical)4.8mm
FOV175°
TV Distortion<16%
Relative Illumination(Sensor)70%
IR FilterAuto IR-CUT

Product Dimensions

Product Usage

Instructions for Connecting and Using the Product with Raspberry Pi

Use a 15P-1.0 MIPI cable to connect the Camera module to the MIPI CSI connector of the Raspberry Pi. If using night vision, attach the infrared supplementary lighting.

Power on the Raspberry Pi (Input voltage: 5V).

Open a terminal (Shortcut: Ctrl+Alt+T) and input the following command:

ls /dev/video*

If "video0" appears, it indicates successful mounting.

Opencv library installation:

sudo apt-get install python3-opencv -y

Test after no errors:

python3
import cv2
cv2.__version__

If there are no errors, and the version is printed, then the installation is successful.

Open the Thonny program in the Raspberry Pi, enter the following code, and click Run to see the real-time picture captured by the module:

Technical Support

Technical Support and Product Notes