openmv/scripts/examples/01-Camera/00-Snapshot/snapshot_on_movement.py

50 lines
1.7 KiB
Python

# This work is licensed under the MIT license.
# Copyright (c) 2013-2023 OpenMV LLC. All rights reserved.
# https://github.com/openmv/openmv/blob/master/LICENSE
#
# 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 random
import os
import machine
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.
led = machine.LED("LED_RED")
if not "temp" in os.listdir():
os.mkdir("temp") # Make a temp directory
while True:
print("About to save background image...")
sensor.skip_frames(time=2000) # Give the user time to get ready.
sensor.snapshot().save("temp/bg.bmp")
print("Saved background image - Now detecting motion!")
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
led.on()
print("Movement detected! Saving image...")
sensor.snapshot().save("temp/snapshot-%d.jpg" % random.getrandbits(32)) # Save Pic.
led.off()