# Snapshot on Movement Example # # Note: You will need an SD card to run this example. # # This example demonstrates using frame differencing with your OpenMV Cam to do # motion detection. After motion is detected your OpenMV Cam will take picture. import sensor import pyb import os RED_LED_PIN = 1 BLUE_LED_PIN = 3 sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.skip_frames(time=2000) # Wait for settings take effect. 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 pyb.LED(BLUE_LED_PIN).off() print("Movement detected! Saving image...") sensor.snapshot().save("temp/snapshot-%d.jpg" % pyb.rng()) # Save Pic.