openmv/usr/examples/05-Snapshot/snapshot_on_movement.py
Kwabena W. Agyeman 9e5d379c18 Remove old code.
Pixels, centroid, and orientation are calculated in the blob code now.
As for threshold, it is no longer needed (plus, it required storing a
secondary image in RAM which isn't really something we can handle).
2016-04-09 19:32:14 -04:00

44 lines
1.5 KiB
Python

# 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, image, 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(10) # Let new settings take affect.
sensor.set_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(60) # 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")
for blob_l in img.find_blobs([(20, 100, -128, 127, -128, 127)]):
for blob in blob_l:
# Over 100 pixels need to change to detect motion.
if (diff and (blob[4] > 100)): diff -= 1
pyb.LED(BLUE_LED_PIN).off()
print("Movement detected! Saving image...")
sensor.snapshot().save("temp/snapshot-%d.jpg" % pyb.rng()) # Save Pic.