OV5640 5MP USB Camera
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Introduction
USB Camera, OV5640 sensor. 5 megapixel. Supports UVC protocol.
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Specification
- Pixel：500 Megapixel
- Resolution：2592×1944
- Video:
- 15FPS 2592 x 1944
- 30FPS 1920 x 1080
- 30FPS 1280 x 720
- Sensor： OV5640
- DSP ：Automatic white balance(AWB)\Automatic exposure(AEC)\Automatic gain control(AGC)
- Camera Specification：
- CCD Size：1/4inch
- Aperture（F）：2.8
- Focus Length（EFL）：3.29mm
- Field of View（FOV）：68°
- Focus Type: Auto focus (B type), Fixed focus (C type)
- Interface： USB2.0
- Image Format： MJPEG、YUV422
- Working Temperature：0°C ~ 50°C
- Dimension：9mm × 62mm
- Support OS： Windows, Linux
Working with Windows PC
Test Software
Most of the Windows 10 PC has pre-install Camera software, you can use it to test the USB camera
If your PC doesn't have Camera software, you can also download the AMCap test software from Resouce->Software and test.
Testing
- Use Camera software of Windows
- Search "Camera" and open the software
- Click the setting icon of the top-left to configure the image/video.
- You can click the icons on the right to switch between Image Capture or Video Recording.
- AMCap Software
- Download and install the AMCap software
- You can click the Options option, choose Video Capture Pin... or Still Capture Pin... to configure image/video
Working with Raspberry Pi
- Open a terminal of Raspberry Pi （You can use Ctrl+Alt+T shortcut）
- Ues command sudo raspi-config to open the configuration
- Choose Interface Option -> Camera -> Yes to enable camera and reboot.
- Open a Terminal of Pi and install luvcview tool with the following command
- sudo apt-get install luvcview -y
- After installing, use the following command to test the USB camera.
- sudo luvcview -s 1920 x 1080
Working with Jetson Nano Developer Kit
- Open a terminal of Jetson Nano Developer Kit （You can use Ctrl+Alt+T shortcut or open it by Mouse）
- Use the following command for previewing：
- nvgstcapture-1.0 --camsrc=0
- With the command, a preview window is opened
【Notice】You may need to use the camera by script/codes, in this case, you can refer to tools/libraries like Opencv yourself.