Prepare:One BPI-M2-Ultra, one HDMI display screen and an OV5640 camera.
Image name: 2020-04-19-ubuntu-16.04-mate-desktop-bpi-m2u-sd-emmc.img
First, Burn the image onto the SD card and Insert the SD card,connect the OV5640 camera to the BPI-M2-Ultra.Then connect the power supply and start it.
Under the /dev directory, you can find the device for the camera, which is named video0.
root@bpi-iot-ros-ai:~# ls /dev/v
v4l/ vcs1 vcs3 vcs5 vcs7 vcsa1 vcsa3 vcsa5 vcsa7
vcs vcs2 vcs4 vcs6 vcsa vcsa2 vcsa4 vcsa6 video0
Our test scripts are located in the /usr/local/bin directory.
root@bpi-iot-ros-ai:/usr/local/bin# ls
a10disp frame_2592x1936.jpg realtinaplayerdemo
adbd frame_640x480.jpg services_test
adbd.sh frame_800x600.jpg sgx_blit_test
apple.dat g40_bcm.py sgx_clipblit_test
bpi-bt-on g40.py sgx_flip_test
bpi-bt-patch getevent sgx_init_test
bpi_test_52pi glsltest1_fragshaderA.txt sgx_render_flip_test
bpi_test_gpio40 glsltest1_fragshaderB.txt sun8i-corekeeper.sh
bpi_test_hello glsltest1_vertshader.txt test_ov5640_image_mode.sh
bpi_test_lcd1602 gpio test_ov5640.sh
brcm_bt_reset gpio40 test_ov8865.sh
brcm_patchram_plus gpio40_bcm tinacameratest
bt_reset.sh gpio40_wpi tinaplayerdemo
cameratest.sh guvcview tinarecorderdemo
cap guvcview.rpi tinymembench
ffmpeg-3.1.4 guvcview.u1604 xeglinfo
frame_1024x768.jpg h3disp xgles1test1
frame_1280x720.jpg info.py xgles1_texture_stream
frame_1280x960.jpg irtester xgles2test1
frame_1600x1200.jpg pdump xgles2_texture_stream
frame_1920x1080.jpg pvr2d_test xmultiegltest
frame_2048x1536.jpg pvrsrvctl
You can use ./test_ov5640_image_mode.sh and ./cameratest.sh to test the usage of the camera.
On the desktop, you can directly click on this application to use the camera.
Then you can use this camera.
