Peter Ma
Published © LGPL

AI Vision IoT

Using AI to detect and monitor objects, then to connect and record it on the IoT platform.

AdvancedFull instructions provided2 days18,956

Things used in this project

Story

Read more

Custom parts and enclosures

Up2 board

Up2 board

Schematics

WIZ750SR Pin out

WIZ750SR pin out

S2E to Up2 board

Connecting WIZ750SR to Up2 board

Helium

Helium IoT architecture

Code

WIZ750SR receiver code

Python
S2E receiver code, when receive new lines, we store them into label.txt, this will be used to control what AI should track
import serial


# this port address is for the serial tx/rx pins on the GPIO header
SERIAL_PORT = '/dev/ttyUSB0'
# be sure to set this to the same rate used on the Arduino
SERIAL_RATE = 115200


def main():
    ser = serial.Serial(SERIAL_PORT, SERIAL_RATE)
    file = open('./label.txt', 'w')
    while True:
        # using ser.readline() assumes each line contains a single reading
        # sent using Serial.println() on the Arduino
        reading = ser.readline().decode('utf-8')
        # reading is a string...do whatever you want from here
        print(reading)
        file = open('./label.txt', 'w')
        file.write(reading)
        file.close()
    ser.close()

if __name__ == "__main__":
    main()

python NCS code

Python
This is the code that's running entire IoT
#!/usr/bin/python3

# ****************************************************************************
# Copyright(c) 2017 Intel Corporation. 
# License: MIT See LICENSE file in root directory.
# ****************************************************************************

# Detect objects on a LIVE camera feed using
# Intel® Movidius™ Neural Compute Stick (NCS)

import os
import cv2
import sys
import numpy
import ntpath
import argparse

import mvnc.mvncapi as mvnc

from utils import visualize_output
from utils import deserialize_output

from helium_client import Helium
helium = Helium(b'/dev/ttyS5')
helium.connect()
channel = helium.create_channel(b"AI Vision")

# Detection threshold: Minimum confidance to tag as valid detection
CONFIDANCE_THRESHOLD = 0.60 # 60% confidant

# Variable to store commandline arguments
ARGS                 = None

# OpenCV object for video capture
camera               = None

lastcount = 0
# ---- Step 1: Open the enumerated device and get a handle to it -------------

def open_ncs_device():

    # Look for enumerated NCS device(s); quit program if none found.
    devices = mvnc.EnumerateDevices()
    if len( devices ) == 0:
        print( "No devices found" )
        quit()

    # Get a handle to the first enumerated device and open it
    device = mvnc.Device( devices[0] )
    device.OpenDevice()

    return device

# ---- Step 2: Load a graph file onto the NCS device -------------------------

def load_graph( device ):

    # Read the graph file into a buffer
    with open( ARGS.graph, mode='rb' ) as f:
        blob = f.read()

    # Load the graph buffer into the NCS
    graph = device.AllocateGraph( blob )

    return graph

# ---- Step 3: Pre-process the images ----------------------------------------

def pre_process_image( frame ):

    # Resize image [Image size is defined by choosen network, during training]
    img = cv2.resize( frame, tuple( ARGS.dim ) )

    # Convert RGB to BGR [OpenCV reads image in BGR, some networks may need RGB]
    if( ARGS.colormode == "rgb" ):
        img = img[:, :, ::-1]

    # Mean subtraction & scaling [A common technique used to center the data]
    img = img.astype( numpy.float16 )
    img = ( img - numpy.float16( ARGS.mean ) ) * ARGS.scale

    return img

# ---- Step 4: Read & print inference results from the NCS -------------------

def infer_image( graph, img, frame ):

    # Load the image as a half-precision floating point array
    graph.LoadTensor( img, 'user object' )

    # Get the results from NCS
    output, userobj = graph.GetResult()

    # Get execution time
    inference_time = graph.GetGraphOption( mvnc.GraphOption.TIME_TAKEN )

    # Deserialize the output into a python dictionary
    output_dict = deserialize_output.ssd( 
                      output, 
                      CONFIDANCE_THRESHOLD, 
                      frame.shape )


    global lastcount
    count = 0
    file = open('label.txt','r')
    selected = file.read().replace('\n','')
    file.close()

    for i in range( 0, output_dict['num_detections'] ):
        print( "%3.1f%%\t" % output_dict['detection_scores_' + str(i)] 
               + labels[ int(output_dict['detection_classes_' + str(i)]) ]
               + ": Top Left: " + str( output_dict['detection_boxes_' + str(i)][0] )
               + " Bottom Right: " + str( output_dict['detection_boxes_' + str(i)][1] ) )
        if str(selected) in labels[ int(output_dict['detection_classes_' + str(i)]) ]:
            count = count + 1
            # Draw bounding boxes around valid detections 
            (y1, x1) = output_dict.get('detection_boxes_' + str(i))[0]
            (y2, x2) = output_dict.get('detection_boxes_' + str(i))[1]

            # Prep string to overlay on the image
            display_str = ( 
                labels[output_dict.get('detection_classes_' + str(i))]
                + ": "
                + str( output_dict.get('detection_scores_' + str(i) ) )
                + "%" )

            frame = visualize_output.draw_bounding_box( 
                       y1, x1, y2, x2, 
                       frame,
                       thickness=4,
                       color=(255, 255, 0),
                       display_str=display_str )
    if lastcount != count and selected != '':
        datastring='Type=' + selected + "&Count=" + str(count)
        channel.send(datastring.encode())
        lastcount = count;
    print(count)
    print( '\n' )

    # If a display is available, show the image on which inference was performed
    if 'DISPLAY' in os.environ:
        cv2.imshow( 'NCS live inference', frame )

# ---- Step 5: Unload the graph and close the device -------------------------

def close_ncs_device( device, graph ):
    graph.DeallocateGraph()
    device.CloseDevice()
    camera.release()
    cv2.destroyAllWindows()

# ---- Main function (entry point for this script ) --------------------------

def main():

    device = open_ncs_device()
    graph = load_graph( device )

    # Main loop: Capture live stream & send frames to NCS
    while( True ):
        ret, frame = camera.read()
        img = pre_process_image( frame )
        infer_image( graph, img, frame )

        # Display the frame for 5ms, and close the window so that the next
        # frame can be displayed. Close the window if 'q' or 'Q' is pressed.
        if( cv2.waitKey( 5 ) & 0xFF == ord( 'q' ) ):
            break

    close_ncs_device( device, graph )

# ---- Define 'main' function as the entry point for this script -------------

if __name__ == '__main__':

    parser = argparse.ArgumentParser(
                         description="Detect objects on a LIVE camera feed using \
                         Intel® Movidius™ Neural Compute Stick." )

    parser.add_argument( '-g', '--graph', type=str,
                         default='./SSD_MobileNet/graph',
                         help="Absolute path to the neural network graph file." )

    parser.add_argument( '-v', '--video', type=int,
                         default=0,
                         help="Index of your computer's V4L2 video device. \
                               ex. 0 for /dev/video0" )

    parser.add_argument( '-l', '--labels', type=str,
                         default='./SSD_MobileNet/labels.txt',
                         help="Absolute path to labels file." )

    parser.add_argument( '-M', '--mean', type=float,
                         nargs='+',
                         default=[127.5, 127.5, 127.5],
                         help="',' delimited floating point values for image mean." )

    parser.add_argument( '-S', '--scale', type=float,
                         default=0.00789,
                         help="Absolute path to labels file." )

    parser.add_argument( '-D', '--dim', type=int,
                         nargs='+',
                         default=[300, 300],
                         help="Image dimensions. ex. -D 224 224" )

    parser.add_argument( '-c', '--colormode', type=str,
                         default="bgr",
                         help="RGB vs BGR color sequence. This is network dependent." )

    ARGS = parser.parse_args()

    # Create a VideoCapture object
    camera = cv2.VideoCapture( ARGS.video )

    # Set camera resolution
    camera.set( cv2.CAP_PROP_FRAME_WIDTH, 620 )
    camera.set( cv2.CAP_PROP_FRAME_HEIGHT, 480 )

    # Load the labels file
    labels =[ line.rstrip('\n') for line in
              open( ARGS.labels ) if line != 'classes\n']

    main()

# ==== End of file ===========================================================

motion conf

Makefile
motion configure file if user were to use this as ip cam
# Rename this distribution example file to motion.conf
#
# This config file was generated by motion 3.2.12+git20140228


############################################################
# Daemon
############################################################

# Start in daemon (background) mode and release terminal (default: off)
daemon on

# File to store the process ID, also called pid file. (default: not defined)
;process_id_file /var/run/motion/motion.pid
process_id_file /home/peter/motion/motion.pid

############################################################
# Basic Setup Mode
############################################################

# Start in Setup-Mode, daemon disabled. (default: off)
setup_mode off


# Use a file to save logs messages, if not defined stderr and syslog is used. (default: not defined)
logfile /home/peter/log/motion/motion.log

# Level of log messages [1..9] (EMR, ALR, CRT, ERR, WRN, NTC, INF, DBG, ALL). (default: 6 / NTC)
log_level 6

# Filter to log messages by type (COR, STR, ENC, NET, DBL, EVT, TRK, VID, ALL). (default: ALL)
log_type all

###########################################################
# Capture device options
############################################################

# Videodevice to be used for capturing  (default /dev/video0)
# for FreeBSD default is /dev/bktr0
videodevice /dev/video2

# v4l2_palette allows to choose preferable palette to be use by motion
# to capture from those supported by your videodevice. (default: 17)
# E.g. if your videodevice supports both V4L2_PIX_FMT_SBGGR8 and
# V4L2_PIX_FMT_MJPEG then motion will by default use V4L2_PIX_FMT_MJPEG.
# Setting v4l2_palette to 2 forces motion to use V4L2_PIX_FMT_SBGGR8
# instead.
#
# Values :
# V4L2_PIX_FMT_SN9C10X : 0  'S910'
# V4L2_PIX_FMT_SBGGR16 : 1  'BYR2'
# V4L2_PIX_FMT_SBGGR8  : 2  'BA81'
# V4L2_PIX_FMT_SPCA561 : 3  'S561'
# V4L2_PIX_FMT_SGBRG8  : 4  'GBRG'
# V4L2_PIX_FMT_SGRBG8  : 5  'GRBG'
# V4L2_PIX_FMT_PAC207  : 6  'P207'
# V4L2_PIX_FMT_PJPG    : 7  'PJPG'
# V4L2_PIX_FMT_MJPEG   : 8  'MJPEG'
# V4L2_PIX_FMT_JPEG    : 9  'JPEG'
# V4L2_PIX_FMT_RGB24   : 10 'RGB3'
# V4L2_PIX_FMT_SPCA501 : 11 'S501'
# V4L2_PIX_FMT_SPCA505 : 12 'S505'
# V4L2_PIX_FMT_SPCA508 : 13 'S508'
# V4L2_PIX_FMT_UYVY    : 14 'UYVY'
# V4L2_PIX_FMT_YUYV    : 15 'YUYV'
# V4L2_PIX_FMT_YUV422P : 16 '422P'
# V4L2_PIX_FMT_YUV420  : 17 'YU12'
#
v4l2_palette 17

# Tuner device to be used for capturing using tuner as source (default /dev/tuner0)
# This is ONLY used for FreeBSD. Leave it commented out for Linux
; tunerdevice /dev/tuner0

# The video input to be used (default: -1)
# Should normally be set to 0 or 1 for video/TV cards, and -1 for USB cameras
input -1

# The video norm to use (only for video capture and TV tuner cards)
# Values: 0 (PAL), 1 (NTSC), 2 (SECAM), 3 (PAL NC no colour). Default: 0 (PAL)
norm 0

# The frequency to set the tuner to (kHz) (only for TV tuner cards) (default: 0)
frequency 0

# Rotate image this number of degrees. The rotation affects all saved images as
# well as movies. Valid values: 0 (default = no rotation), 90, 180 and 270.
rotate 0

# Image width (pixels). Valid range: Camera dependent, default: 352
width 1080

# Image height (pixels). Valid range: Camera dependent, default: 288
height 720

# Maximum number of frames to be captured per second.
# Valid range: 2-100. Default: 100 (almost no limit).
framerate 30

# Minimum time in seconds between capturing picture frames from the camera.
# Default: 0 = disabled - the capture rate is given by the camera framerate.
# This option is used when you want to capture images at a rate lower than 2 per second.
minimum_frame_time 0

# URL to use if you are using a network camera, size will be autodetected (incl http:// ftp:// mjpg:// rstp:// or file:///)
# Must be a URL that returns single jpeg pictures or a raw mjpeg stream. Default: Not defined
; netcam_url value

# Username and password for network camera (only if required). Default: not defined
# Syntax is user:password
; netcam_userpass value

# The setting for keep-alive of network socket, should improve performance on compatible net cameras.
# off:   The historical implementation using HTTP/1.0, closing the socket after each http request.
# force: Use HTTP/1.0 requests with keep alive header to reuse the same connection.
# on:    Use HTTP/1.1 requests that support keep alive as default.
# Default: off
netcam_keepalive on

# URL to use for a netcam proxy server, if required, e.g. "http://myproxy".
# If a port number other than 80 is needed, use "http://myproxy:1234".
# Default: not defined
; netcam_proxy value

# Set less strict jpeg checks for network cameras with a poor/buggy firmware.
# Default: off
netcam_tolerant_check off

# Let motion regulate the brightness of a video device (default: off).
# The auto_brightness feature uses the brightness option as its target value.
# If brightness is zero auto_brightness will adjust to average brightness value 128.
# Only recommended for cameras without auto brightness
auto_brightness off

# Set the initial brightness of a video device.
# If auto_brightness is enabled, this value defines the average brightness level
# which Motion will try and adjust to.
# Valid range 0-255, default 0 = disabled
brightness 0

# Set the contrast of a video device.
# Valid range 0-255, default 0 = disabled
contrast 0

# Set the saturation of a video device.
# Valid range 0-255, default 0 = disabled
saturation 0

# Set the hue of a video device (NTSC feature).
# Valid range 0-255, default 0 = disabled
hue 0


############################################################
# Round Robin (multiple inputs on same video device name)
############################################################

# Number of frames to capture in each roundrobin step (default: 1)
roundrobin_frames 1

# Number of frames to skip before each roundrobin step (default: 1)
roundrobin_skip 1

# Try to filter out noise generated by roundrobin (default: off)
switchfilter off


############################################################
# Motion Detection Settings:
############################################################

# Threshold for number of changed pixels in an image that
# triggers motion detection (default: 1500)
threshold 1500

# Automatically tune the threshold down if possible (default: off)
threshold_tune off

# Noise threshold for the motion detection (default: 32)
noise_level 32

# Automatically tune the noise threshold (default: on)
noise_tune on

# Despeckle motion image using (e)rode or (d)ilate or (l)abel (Default: not defined)
# Recommended value is EedDl. Any combination (and number of) of E, e, d, and D is valid.
# (l)abeling must only be used once and the 'l' must be the last letter.
# Comment out to disable
despeckle_filter EedDl

# Detect motion in predefined areas (1 - 9). Areas are numbered like that:  1 2 3
# A script (on_area_detected) is started immediately when motion is         4 5 6
# detected in one of the given areas, but only once during an event.        7 8 9
# One or more areas can be specified with this option. Take care: This option
# does NOT restrict detection to these areas! (Default: not defined)
; area_detect value

# PGM file to use as a sensitivity mask.
# Full path name to. (Default: not defined)
; mask_file value

# Dynamically create a mask file during operation (default: 0)
# Adjust speed of mask changes from 0 (off) to 10 (fast)
smart_mask_speed 0

# Ignore sudden massive light intensity changes given as a percentage of the picture
# area that changed intensity. Valid range: 0 - 100 , default: 0 = disabled
lightswitch 0

# Picture frames must contain motion at least the specified number of frames
# in a row before they are detected as true motion. At the default of 1, all
# motion is detected. Valid range: 1 to thousands, recommended 1-5
minimum_motion_frames 1

# Specifies the number of pre-captured (buffered) pictures from before motion
# was detected that will be output at motion detection.
# Recommended range: 0 to 5 (default: 0)
# Do not use large values! Large values will cause Motion to skip video frames and
# cause unsmooth movies. To smooth movies use larger values of post_capture instead.
pre_capture 0

# Number of frames to capture after motion is no longer detected (default: 0)
post_capture 0

# Event Gap is the seconds of no motion detection that triggers the end of an event.
# An event is defined as a series of motion images taken within a short timeframe.
# Recommended value is 60 seconds (Default). The value -1 is allowed and disables
# events causing all Motion to be written to one single movie file and no pre_capture.
# If set to 0, motion is running in gapless mode. Movies don't have gaps anymore. An
# event ends right after no more motion is detected and post_capture is over.
event_gap 60

# Maximum length in seconds of a movie
# When value is exceeded a new movie file is created. (Default: 0 = infinite)
max_movie_time 0

# Always save images even if there was no motion (default: off)
emulate_motion off


############################################################
# Image File Output
############################################################

# Output 'normal' pictures when motion is detected (default: on)
# Valid values: on, off, first, best, center
# When set to 'first', only the first picture of an event is saved.
# Picture with most motion of an event is saved when set to 'best'.
# Picture with motion nearest center of picture is saved when set to 'center'.
# Can be used as preview shot for the corresponding movie.
output_pictures off

# Output pictures with only the pixels moving object (ghost images) (default: off)
output_debug_pictures off

# The quality (in percent) to be used by the jpeg compression (default: 75)
quality 75

# Type of output images
# Valid values: jpeg, ppm (default: jpeg)
picture_type jpeg

############################################################
# FFMPEG related options
# Film (movies) file output, and deinterlacing of the video input
# The options movie_filename and timelapse_filename are also used
# by the ffmpeg feature
############################################################

# Use ffmpeg to encode movies in realtime (default: off)
ffmpeg_output_movies off

# Use ffmpeg to make movies with only the pixels moving
# object (ghost images) (default: off)
ffmpeg_output_debug_movies off

# Use ffmpeg to encode a timelapse movie
# Default value 0 = off - else save frame every Nth second
ffmpeg_timelapse 0

# The file rollover mode of the timelapse video
# Valid values: hourly, daily (default), weekly-sunday, weekly-monday, monthly, manual
ffmpeg_timelapse_mode daily

# Bitrate to be used by the ffmpeg encoder (default: 400000)
# This option is ignored if ffmpeg_variable_bitrate is not 0 (disabled)
ffmpeg_bps 500000

# Enables and defines variable bitrate for the ffmpeg encoder.
# ffmpeg_bps is ignored if variable bitrate is enabled.
# Valid values: 0 (default) = fixed bitrate defined by ffmpeg_bps,
# or the range 2 - 31 where 2 means best quality and 31 is worst.
ffmpeg_variable_bitrate 0

# Codec to used by ffmpeg for the video compression.
# Timelapse mpegs are always made in mpeg1 format independent from this option.
# Supported formats are: mpeg1 (ffmpeg-0.4.8 only), mpeg4 (default), and msmpeg4.
# mpeg1 - gives you files with extension .mpg
# mpeg4 or msmpeg4 - gives you files with extension .avi
# msmpeg4 is recommended for use with Windows Media Player because
# it requires no installation of codec on the Windows client.
# swf - gives you a flash film with extension .swf
# flv - gives you a flash video with extension .flv
# ffv1 - FF video codec 1 for Lossless Encoding ( experimental )
# mov - QuickTime ( testing )
# ogg - Ogg/Theora ( testing )
ffmpeg_video_codec mpeg4

# Use ffmpeg to deinterlace video. Necessary if you use an analog camera
# and see horizontal combing on moving objects in video or pictures.
# (default: off)
ffmpeg_deinterlace off

############################################################
# SDL Window
############################################################

# Number of motion thread to show in SDL Window (default: 0 = disabled)
sdl_threadnr 0

############################################################
# External pipe to video encoder
# Replacement for FFMPEG builtin encoder for ffmpeg_output_movies only.
# The options movie_filename and timelapse_filename are also used
# by the ffmpeg feature
#############################################################

# Bool to enable or disable extpipe (default: off)
use_extpipe off

# External program (full path and opts) to pipe raw video to
# Generally, use '-' for STDIN...
;extpipe mencoder -demuxer rawvideo -rawvideo w=320:h=240:i420 -ovc x264 -x264encopts bframes=4:frameref=1:subq=1:scenecut=-1:nob_adapt:threads=1:keyint=1000:8x8dct:vbv_bufsize=4000:crf=24:partitions=i8x8,i4x4:vbv_maxrate=800:no-chroma-me -vf denoise3d=16:12:48:4,pp=lb -of   avi -o %f.avi - -fps %fps



############################################################
# Snapshots (Traditional Periodic Webcam File Output)
############################################################

# Make automated snapshot every N seconds (default: 0 = disabled)
snapshot_interval 0


############################################################
# Text Display
# %Y = year, %m = month, %d = date,
# %H = hour, %M = minute, %S = second, %T = HH:MM:SS,
# %v = event, %q = frame number, %t = thread (camera) number,
# %D = changed pixels, %N = noise level, \n = new line,
# %i and %J = width and height of motion area,
# %K and %L = X and Y coordinates of motion center
# %C = value defined by text_event - do not use with text_event!
# You can put quotation marks around the text to allow
# leading spaces
############################################################

# Locate and draw a box around the moving object.
# Valid values: on, off, preview (default: off)
# Set to 'preview' will only draw a box in preview_shot pictures.
locate_motion_mode off

# Set the look and style of the locate box if enabled.
# Valid values: box, redbox, cross, redcross (default: box)
# Set to 'box' will draw the traditional box.
# Set to 'redbox' will draw a red box.
# Set to 'cross' will draw a little cross to mark center.
# Set to 'redcross' will draw a little red cross to mark center.
locate_motion_style box

# Draws the timestamp using same options as C function strftime(3)
# Default: %Y-%m-%d\n%T = date in ISO format and time in 24 hour clock
# Text is placed in lower right corner
text_right %Y-%m-%d\n%T-%q

# Draw a user defined text on the images using same options as C function strftime(3)
# Default: Not defined = no text
# Text is placed in lower left corner
; text_left CAMERA %t

# Draw the number of changed pixed on the images (default: off)
# Will normally be set to off except when you setup and adjust the motion settings
# Text is placed in upper right corner
text_changes off

# This option defines the value of the special event conversion specifier %C
# You can use any conversion specifier in this option except %C. Date and time
# values are from the timestamp of the first image in the current event.
# Default: %Y%m%d%H%M%S
# The idea is that %C can be used filenames and text_left/right for creating
# a unique identifier for each event.
text_event %Y%m%d%H%M%S

# Draw characters at twice normal size on images. (default: off)
text_double off


# Text to include in a JPEG EXIF comment
# May be any text, including conversion specifiers.
# The EXIF timestamp is included independent of this text.
;exif_text %i%J/%K%L

############################################################
# Target Directories and filenames For Images And Films
# For the options snapshot_, picture_, movie_ and timelapse_filename
# you can use conversion specifiers
# %Y = year, %m = month, %d = date,
# %H = hour, %M = minute, %S = second,
# %v = event, %q = frame number, %t = thread (camera) number,
# %D = changed pixels, %N = noise level,
# %i and %J = width and height of motion area,
# %K and %L = X and Y coordinates of motion center
# %C = value defined by text_event
# Quotation marks round string are allowed.
############################################################

# Target base directory for pictures and films
# Recommended to use absolute path. (Default: current working directory)
target_dir /var/lib/motion

# File path for snapshots (jpeg or ppm) relative to target_dir
# Default: %v-%Y%m%d%H%M%S-snapshot
# Default value is equivalent to legacy oldlayout option
# For Motion 3.0 compatible mode choose: %Y/%m/%d/%H/%M/%S-snapshot
# File extension .jpg or .ppm is automatically added so do not include this.
# Note: A symbolic link called lastsnap.jpg created in the target_dir will always
# point to the latest snapshot, unless snapshot_filename is exactly 'lastsnap'
snapshot_filename %v-%Y%m%d%H%M%S-snapshot

# File path for motion triggered images (jpeg or ppm) relative to target_dir
# Default: %v-%Y%m%d%H%M%S-%q
# Default value is equivalent to legacy oldlayout option
# For Motion 3.0 compatible mode choose: %Y/%m/%d/%H/%M/%S-%q
# File extension .jpg or .ppm is automatically added so do not include this
# Set to 'preview' together with best-preview feature enables special naming
# convention for preview shots. See motion guide for details
picture_filename %v-%Y%m%d%H%M%S-%q

# File path for motion triggered ffmpeg films (movies) relative to target_dir
# Default: %v-%Y%m%d%H%M%S
# Default value is equivalent to legacy oldlayout option
# For Motion 3.0 compatible mode choose: %Y/%m/%d/%H%M%S
# File extension .mpg or .avi is automatically added so do not include this
# This option was previously called ffmpeg_filename
movie_filename %v-%Y%m%d%H%M%S

# File path for timelapse movies relative to target_dir
# Default: %Y%m%d-timelapse
# Default value is near equivalent to legacy oldlayout option
# For Motion 3.0 compatible mode choose: %Y/%m/%d-timelapse
# File extension .mpg is automatically added so do not include this
timelapse_filename %Y%m%d-timelapse

############################################################
# Global Network Options
############################################################
# Enable or disable IPV6 for http control and stream (default: off )
ipv6_enabled off

############################################################
# Live Stream Server
############################################################

# The mini-http server listens to this port for requests (default: 0 = disabled)
stream_port 5000

# Quality of the jpeg (in percent) images produced (default: 50)
stream_quality 50

# Output frames at 1 fps when no motion is detected and increase to the
# rate given by stream_maxrate when motion is detected (default: off)
stream_motion off

# Maximum framerate for stream streams (default: 1)
stream_maxrate 30

# Restrict stream connections to localhost only (default: on)
stream_localhost off

# Limits the number of images per connection (default: 0 = unlimited)
# Number can be defined by multiplying actual stream rate by desired number of seconds
# Actual stream rate is the smallest of the numbers framerate and stream_maxrate
stream_limit 0

# Set the authentication method (default: 0)
# 0 = disabled
# 1 = Basic authentication
# 2 = MD5 digest (the safer authentication)
stream_auth_method 0

# Authentication for the stream. Syntax username:password
# Default: not defined (Disabled)
; stream_authentication username:password


############################################################
# HTTP Based Control
############################################################

# TCP/IP port for the http server to listen on (default: 0 = disabled)
webcontrol_port 8080

# Restrict control connections to localhost only (default: on)
webcontrol_localhost off

# Output for http server, select off to choose raw text plain (default: on)
webcontrol_html_output off

# Authentication for the http based control. Syntax username:password
# Default: not defined (Disabled)
; webcontrol_authentication username:password


############################################################
# Tracking (Pan/Tilt)
#############################################################

# Type of tracker (0=none (default), 1=stepper, 2=iomojo, 3=pwc, 4=generic, 5=uvcvideo, 6=servo)
# The generic type enables the definition of motion center and motion size to
# be used with the conversion specifiers for options like on_motion_detected
track_type 0

# Enable auto tracking (default: off)
track_auto off

# Serial port of motor (default: none)
;track_port /dev/ttyS0

# Motor number for x-axis (default: 0)
;track_motorx 0

# Set motorx reverse (default: 0)
;track_motorx_reverse 0

# Motor number for y-axis (default: 0)
;track_motory 1

# Set motory reverse (default: 0)
;track_motory_reverse 0

# Maximum value on x-axis (default: 0)
;track_maxx 200

# Minimum value on x-axis (default: 0)
;track_minx 50

# Maximum value on y-axis (default: 0)
;track_maxy 200

# Minimum value on y-axis (default: 0)
;track_miny 50

# Center value on x-axis (default: 0)
;track_homex 128

# Center value on y-axis (default: 0)
;track_homey 128

# ID of an iomojo camera if used (default: 0)
track_iomojo_id 0

# Angle in degrees the camera moves per step on the X-axis
# with auto-track (default: 10)
# Currently only used with pwc type cameras
track_step_angle_x 10

# Angle in degrees the camera moves per step on the Y-axis
# with auto-track (default: 10)
# Currently only used with pwc type cameras
track_step_angle_y 10

# Delay to wait for after tracking movement as number
# of picture frames (default: 10)
track_move_wait 10

# Speed to set the motor to (stepper motor option) (default: 255)
track_speed 255

# Number of steps to make (stepper motor option) (default: 40)
track_stepsize 40


############################################################
# External Commands, Warnings and Logging:
# You can use conversion specifiers for the on_xxxx commands
# %Y = year, %m = month, %d = date,
# %H = hour, %M = minute, %S = second,
# %v = event, %q = frame number, %t = thread (camera) number,
# %D = changed pixels, %N = noise level,
# %i and %J = width and height of motion area,
# %K and %L = X and Y coordinates of motion center
# %C = value defined by text_event
# %f = filename with full path
# %n = number indicating filetype
# Both %f and %n are only defined for on_picture_save,
# on_movie_start and on_movie_end
# Quotation marks round string are allowed.
############################################################

# Do not sound beeps when detecting motion (default: on)
# Note: Motion never beeps when running in daemon mode.
quiet on

# Command to be executed when an event starts. (default: none)
# An event starts at first motion detected after a period of no motion defined by event_gap
; on_event_start value

# Command to be executed when an event ends after a period of no motion
# (default: none). The period of no motion is defined by option event_gap.
; on_event_end value

# Command to be executed when a picture (.ppm|.jpg) is saved (default: none)
# To give the filename as an argument to a command append it with %f
; on_picture_save value

# Command to be executed when a motion frame is detected (default: none)
; on_motion_detected value

# Command to be executed when motion in a predefined area is detected
# Check option 'area_detect'.   (default: none)
; on_area_detected value

# Command to be executed when a movie file (.mpg|.avi) is created. (default: none)
# To give the filename as an argument to a command append it with %f
; on_movie_start value

# Command to be executed when a movie file (.mpg|.avi) is closed. (default: none)
# To give the filename as an argument to a command append it with %f
; on_movie_end value

# Command to be executed when a camera can't be opened or if it is lost
# NOTE: There is situations when motion don't detect a lost camera!
# It depends on the driver, some drivers dosn't detect a lost camera at all
# Some hangs the motion thread. Some even hangs the PC! (default: none)
; on_camera_lost value

#####################################################################
# Common Options for database features.
# Options require database options to be active also.
#####################################################################

# Log to the database when creating motion triggered picture file  (default: on)
; sql_log_picture on

# Log to the database when creating a snapshot image file (default: on)
; sql_log_snapshot on

# Log to the database when creating motion triggered movie file (default: off)
; sql_log_movie off

# Log to the database when creating timelapse movies file (default: off)
; sql_log_timelapse off

# SQL query string that is sent to the database
# Use same conversion specifiers has for text features
# Additional special conversion specifiers are
# %n = the number representing the file_type
# %f = filename with full path
# Default value:
# Create tables :
## 
# Mysql
# CREATE TABLE security (camera int, filename char(80) not null, frame int, file_type int, time_stamp timestamp(14), event_time_stamp timestamp(14));
#
# Postgresql
# CREATE TABLE security (camera int, filename char(80) not null, frame int, file_type int, time_stamp timestamp without time zone, event_time_stamp timestamp without time zone);
#
# insert into security(camera, filename, frame, file_type, time_stamp, text_event) values('%t', '%f', '%q', '%n', '%Y-%m-%d %T', '%C')
; sql_query insert into security(camera, filename, frame, file_type, time_stamp, event_time_stamp) values('%t', '%f', '%q', '%n', '%Y-%m-%d %T', '%C')


############################################################
# Database Options
############################################################

# database type : mysql, postgresql, sqlite3 (default : not defined)
; database_type value

# database to log to (default: not defined)
; database_dbname value

# The host on which the database is located (default: localhost)
; database_host value

# User account name for database (default: not defined)
; database_user value

# User password for database (default: not defined)
; database_password value

# Port on which the database is located
#  mysql 3306 , postgresql 5432 (default: not defined)
; database_port value

############################################################
# Database Options For SQLite3
############################################################

# SQLite3 database (file path) (default: not defined)
; sqlite3_db value



############################################################
# Video Loopback Device (vloopback project)
############################################################

# Output images to a video4linux loopback device
# The value '-' means next available (default: not defined)
; video_pipe value

# Output motion images to a video4linux loopback device
# The value '-' means next available (default: not defined)
; motion_video_pipe value


##############################################################
# Thread config files - One for each camera.
# Except if only one camera - You only need this config file.
# If you have more than one camera you MUST define one thread
# config file for each camera in addition to this config file.
##############################################################

# Remember: If you have more than one camera you must have one
# thread file for each camera. E.g. 2 cameras requires 3 files:
# This motion.conf file AND thread1.conf and thread2.conf.
# Only put the options that are unique to each camera in the
# thread config files.
; thread /etc/motion/thread1.conf
; thread /etc/motion/thread2.conf
; thread /etc/motion/thread3.conf
; thread /etc/motion/thread4.conf

AI Vision Source code

AI Vision guide source code

Credits

Peter Ma

Peter Ma

49 projects • 394 followers
Prototype Hacker, Hackathon Goer, World Traveler, Ecological balancer, integrationist, technologist, futurist.

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