![](/upload/wiki/202406/12/17181770924678953961.jpg)
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
Item | OV5647 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 Technique | SMT(ROSH) |
Focus | Fixed |
Object Distance | 30CM~∞ |
Resolution | 800LW/PH(Center) |
Interface | 15p-1.0 mipi |
Working power supply | 3.3v(pin15) |
Operating System Request | Raspberry Pi 2/3B+/4 series |
Microphone | Not supported |
Module Package | Anti-electrostatic tray |
Sensor | OV5647(1/4" ) |
Active Array Size | 2592 x 1944 |
Sensitivity | 60mv /(lux-sec) |
Pixel Size | 4µm * 4µm |
Maximum Image Transfer Rate | 15 fps for QSXGA |
Output formats | 8/10bit RGB RAW output |
S/N Ratio | 34db |
Dynamic Range | 67db @8x gain |
Package | CSP,Bare Die |
Lens Construction | 6G |
F/No | 2.0 |
EFL | 1.7mm |
BFL(Optical) | 4.8mm |
FOV | 175° |
TV Distortion | <16% |
Relative Illumination(Sensor) | 70% |
IR Filter | Auto IR-CUT |
Product Dimensions
![](/upload/wiki/202406/12/17181783532095146989.jpg)
![](/upload/wiki/202406/12/17181783534668380432.jpg)
![](/upload/wiki/202406/12/17181783538479739820.jpg)
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.
![](/upload/wiki/202406/12/1718178451331998450.png)
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.
![](/upload/wiki/202406/12/17181784551962767885.png)
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:
![](/upload/wiki/202408/06/17230106849333452097.png)