This camera features the OmniVision Technologies' CMOS image sensor OV5647, featuring a 75° fisheye HD lens, capable of providing 5 million pixels high-definition images. It supports manual focus with a maximum resolution of 2592*1944. Weighing 24g, it has equipped with infrared fill light and supports infrared night vision. It suitable for the Raspberry Pi series boards.
Product Features
- High-definition fisheye lens with 5 million pixels
- Onboard OV5647 CMOS image sensor for clearer and stable images
- 75° field of view for a larger visual range, supports manual adjustment of shooting focus distance (rotating the lens)
- Equipped with infrared fill light lamp, support infrared night vision
- 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 75 NV |
|---|---|
| Size | 25mm(Length) x 24mm(Width) x 23.8mm(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 |
| Certifications | FCC/CE |
| Sensor | OV5647(1/4" ) |
| Active Array Size | 2592 x 1944 |
| Sensitivity | 600mv /（lux-sec） |
| Pixel Size | 1.4µm * 1.4µm |
| 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 | 4G |
| F/No | 2.0 |
| EFL | 3.6mm |
| BFL(Optical) | 6.8mm |
| FOV | 75° |
| TV Distortion | <6% |
| Relative Illumination（Sensor） | 70% |
| IR Filter | NO |
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 -yTest after no errors:
python3
import cv2
cv2.__version__If there are no errors and the version is printed, 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:
