# MJPEG Video Recording on Movement Example # # Note: You will need an SD card to run this example. # # You can use your OpenMV Cam to record mjpeg files. You can either feed the # recorder object JPEG frames or RGB565/Grayscale frames. Once you've finished # recording a Mjpeg file you can use VLC to play it. If you are on Ubuntu then # the built-in video player will work too. # # This example demonstrates using frame differencing with your OpenMV Cam to do # motion detection. After motion is detected your OpenMV Cam will take video. import sensor, image, time, mjpeg, pyb, os RED_LED_PIN = 1 BLUE_LED_PIN = 3 sensor.reset() # Initialize the camera sensor. sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE sensor.set_framesize(sensor.QVGA) # or sensor.QQVGA (or others) sensor.skip_frames(time = 2000) # Let new settings take affect. sensor.set_auto_whitebal(False) # Turn off white balance. if not "temp" in os.listdir(): os.mkdir("temp") # Make a temp directory while(True): pyb.LED(RED_LED_PIN).on() print("About to save background image...") sensor.skip_frames(time = 2000) # Give the user time to get ready. pyb.LED(RED_LED_PIN).off() sensor.snapshot().save("temp/bg.bmp") print("Saved background image - Now detecting motion!") pyb.LED(BLUE_LED_PIN).on() diff = 10 # We'll say we detected motion after 10 frames of motion. while(diff): img = sensor.snapshot() img.difference("temp/bg.bmp") stats = img.statistics() # Stats 5 is the max of the lighting color channel. The below code # triggers when the lighting max for the whole image goes above 20. # The lighting difference maximum should be zero normally. if (stats[5] > 20): diff -= 1 m = mjpeg.Mjpeg("example-%d.mjpeg" % pyb.rng()) clock = time.clock() # Tracks FPS. print("You're on camera!") for i in range(200): clock.tick() m.add_frame(sensor.snapshot()) print(clock.fps()) m.close(clock.fps()) pyb.LED(BLUE_LED_PIN).off() print("Restarting...")