Inconsistent Speeds

[kummerr]

Hi Claude,

Thanks for sharing this! I think I have this calibrated correctly, but I'm getting inconsistent speeds. For example it records a speed of 18.4 mph and less than a second later it records the same car at 142.5 mph. I probably have something misconfigured somewhere. Would you mind taking a look at my settings and let me know if you can see what I am doing wrong?

Thanks,

Bob

---------------- User Configuration Settings for speed-cam.py ---------------------------------

Ver 12.00 speed-cam.py Variable Configuration Settings

#######################################

speed-cam.py Variable Settings

Default is 320x240 image stream size

Note motion track crop area is now

auto configured so you may not need to use a plugin

to change resolution.

#######################################

Calibration Settings

--------------------

calibrate = False # Create a calibration image file with calibration hash markers 10 px per mark align_cam_on = False # Default=False True Saves alignment image to help with camera pointing align_delay_sec = 5 # Default=5 seconds delay between each alignment image

cal_obj_px_L2R = 270 # L2R Moving Objects, Length of a calibration object in pixels cal_obj_mm_L2R = 3850.0 # L2R Moving Objects, Length of the calibration object in millimetres

cal_obj_px_R2L = 260 # R2L Moving Objects, Length of a calibration object in pixels cal_obj_mm_R2L = 3850.0 # R2L Moving Objects, Length of the calibration object in millimetres

Camera Settings

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CAMERA = "ipcam" # valid values are usbcam, ipcam, pilibcam, pilegcam CAM_LOCATION = 'Driveway' # Specify an address, physical location Etc for camera

Libcam (Bullseye or later) and Legacy Pi Camera Settings

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CAMERA_WIDTH = 320 # Image stream width for opencv motion scanning Default=320 CAMERA_HEIGHT = 240 # Image stream height for opencv motion scanning Default=240 CAMERA_FRAMERATE = 15 # Default= 20 Frame rate for video stream V2 picam can be higher CAMERA_ROTATION = 0 # Rotate camera image valid values are 0, 90, 180, 270 CAMERA_VFLIP = True # Flip the camera image vertically if required CAMERA_HFLIP = True # Flip the camera image horizontally if required

USB, WEB and RTSP IP Cam Settings

---------------------------------

USBCAM_SRC = 1 # Used if CAMERA = "usbcam" IPCAM_SRC = "rtsp://admin:password@192.168.86.129:554/cam/realmonitor?channel=1&subtype=2" # Set low res stream per IP Cam Docs and config WEBCAM_WIDTH = 320 # Default= 320 USB, RTSP cam image stream width WEBCAM_HEIGHT = 240 # Default= 240 USB, RTSP cam image stream height WEBCAM_HFLIP = False # Default= False USB Webcam flip image horizontally WEBCAM_VFLIP = False # Default= False USB Webcam flip image vertically

IMPORTANT Webcam Streaming Performance Hit if Stream Flipped.

Note if tested speed is too low increase appropriate cal_obj_mm value and redo speed test for desired direction.

IMPORTANT - If plugins Enabled Edit Settings in specified plugin file located in plugins folder.

Plugins overlay the config.py variable settings

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pluginEnable = True pluginName = "webcam720" # Specify filename in plugins subfolder without .py extension per below

picam240, webcam240 (Recommended for RPI2 or greater)

                    # picam480, webcam480, picam720, webcam720  (can use RPI3 but Test)
                    # picam1080   (Experimental Not Recommended)
                    # secpicam480, secwebcam480 (Experimental no CSV entries)

Display opencv windows on gui desktop

gui_window_on suppresses All Windows if False

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gui_window_on = False # True= Turn On All desktop GUI openCV windows. False=Don't Show (req'd for SSH) . gui_show_camera = True # True=Show the camera on gui windows. False=Don't Show (useful for image_sign) show_thresh_on = False # Display desktop GUI openCV cropped threshold window. True=Show, False=Don't Show show_crop_on = False # Same as show_thresh_on but in color. True=Show, False=Don't Show (Default)

Display and Log settings

------------------------

verbose = True # True= Display basic status information on console False= Off display_fps = False # True= Show average frame count every 1000 loops False= Off log_data_to_CSV = False # True= Save log data as CSV comma separated values False= Off loggingToFile = True # True= Send logging to file False= No Logging to File logFilePath = 'speed-cam.log' # Location of log file when loggingToFile=True

Motion Event Settings

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SPEED_MPH = True # Set Speed Units kph=False mph=True track_counter = 6 # Default= 6 Number of Consecutive Motion Events to trigger speed photo. Adjust to suit.

Suggest single core cpu=4-7 quad core=8-15 but adjust to smooth erratic readings due to contour jumps

MIN_AREA = 200 # Default= 200 Exclude all contours less than or equal to this sq-px Area show_out_range = True # Default= True Show Out of Range Events per x_diff settings below False= Off x_diff_max = 24 # Default= 20 Exclude if max px away >= last motion event x position x_diff_min = 1 # Default= 1 Exclude if min px away <= last event x position x_buf_adjust = 10 # Default= 10 Divides motion Rect x for L&R Buffer Space to Ensure contours are in track_timeout = 0.5 # Default= 0.5 Optional seconds to wait after track End (Avoids dual tracking) event_timeout = 0.3 # Default= 0.3 seconds to wait for next motion event before starting new track max_speed_over = 0 # Exclude track if Speed less than or equal to value specified 0=All

Can be useful to exclude pedestrians and/or bikes, Etc or track only fast objects

Motion Tracking Window Crop Area Settings

-----------------------------------------

Note: Values based on 320x240 image stream size.

If variable is commented, value will be set automatically based on image size.

To see motion tracking crop area on images, Set variable image_show_motion_area = True

Set align_cam_on = True to help with adjusting settings.

x_left = 350 # Default=50 comment variable for auto calculate x_right = 900 # Default=250 comment variable for auto calculate

y_upper = 90 # Default=90 comment variable for auto calculate

y_lower = 150 # Default=150 comment variable for auto calculate

Camera Image Settings

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image_path = "media/images" # folder name to store images image_prefix = "speed-" # image name prefix image_format = ".jpg" # Default = ".jpg" image Formats .jpg .jpeg .png .gif .bmp image_jpeg_quality = 98 # Set the quality of the jpeg. Default = 95 https://docs.opencv.org/3.4/d8/d6a/group__imgcodecs__flags.html#ga292d81be8d76901bff7988d18d2b42ac image_jpeg_optimize = True # Optimize the image. Default = False https://docs.opencv.org/3.4/d8/d6a/group__imgcodecs__flags.html#ga292d81be8d76901bff7988d18d2b42ac image_show_motion_area = True # True= Display motion detection rectangle area on saved images image_filename_speed = False # True= Include speed value in filename image_text_on = True # True= Show Text on speed images False= No Text on images image_text_bottom = True # True= Show image text at bottom otherwise at top image_font_size = 16 # Default= 12 Font text height in px for text on images image_font_scale = 0.5 # Default= 0.5 Font scale factor that is multiplied by the font-specific base size. image_font_thickness = 2 # Default= 2 Font text thickness in px for text on images image_font_color = (255, 255, 255) # Default= (255, 255, 255) White image_bigger = 3.0 # Default= 3.0 min=0.1 Resize saved speed image by specified multiplier value image_max_files = 0 # 0=off or specify MaxFiles to maintain then oldest are deleted Default=0 (off)

image_sign_on = False image_sign_show_camera = False image_sign_resize = (1280, 720) image_sign_text_xy = (100, 675) image_sign_font_scale = 30.0 image_sign_font_thickness = 60 image_sign_font_color = (255, 255, 255) image_sign_timeout = 5 # Keep the image sign for 5 seconds.

Optional Manage SubDir Creation by time, number of files or both (not recommended)

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imageSubDirMaxFiles = 0 # 0=off or specify MaxFiles - Creates New dated sub-folder if MaxFiles exceeded imageSubDirMaxHours = 24 # 0=off or specify MaxHours - Creates New dated sub-folder if MaxHours exceeded

Optional Save Most Recent files in recent folder

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imageRecentMax = 100 # 0=off Maintain specified number of most recent files in motionRecentDir imageRecentDir = "media/recent" # Default= "media/recent" save recent files directory path

Optional Manage Free Disk Space Settings

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spaceTimerHrs = 0 # Default= 0 0=off or specify hours frequency to perform free disk space check spaceFreeMB = 500 # Default= 500 Target Free space in MB Required. spaceMediaDir = 'media/images' # Default= 'media/images' Starting point for directory walk spaceFileExt = 'jpg' # Default= 'jpg' File extension to Delete Oldest Files

OpenCV Motion Settings

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SHOW_CIRCLE = True # True=circle in center of motion, False=rectangle CIRCLE_SIZE = 5 # Default= 5 Diameter circle in px if SHOW_CIRCLE = True LINE_THICKNESS = 1 # Default= 1 Size of lines for circle or Rectangle FONT_SCALE = 0.5 # Default= 0.5 OpenCV window text font size scaling factor Default=.5 (lower is smaller) WINDOW_BIGGER = 1.0 # Default= 1.0 min=0.1 Resize multiplier for opencv window if gui_window_on=True BLUR_SIZE = 10 # Default= 10 OpenCV setting for Gaussian difference image blur THRESHOLD_SENSITIVITY = 20 # Default= 20 OpenCV setting for difference image threshold

Sqlite3 Settings

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DB_DIR = "data" DB_NAME = "speed_cam.db" DB_TABLE = "speed"

matplotlib graph image settings

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GRAPH_PATH = 'media/graphs' # Directory path for storing graph images GRAPH_ADD_DATE_TO_FILENAME = False # True - Prefix graph image filenames with datetime default = False GRAPH_RUN_TIMER_HOURS = 0.5 # Default= 0.5 Update Graphs every specified hours wait (Continuous).

List of sql query Data for sql-make-graph-count-totals.py and sql-make-graph-speed-ave.py (with no parameters)

[[Group_By, Days_Prev, Speed_Over]] where Group_By is 'hour', 'day' or 'month'

GRAPH_RUN_LIST = [ ['day', 28, 10], ['hour', 28, 10], ['hour', 7, 0], ['hour', 2, 0] ]

======================================

webserver.py Settings

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Web Server settings

-------------------

web_server_port = 8080 # Default= 8080 Web server access port eg http://192.168.1.100:8080 web_server_root = "media" # Default= "media" webserver root path to webserver image/video sub-folders web_page_title = "SPEED-CAMERA Media" # web page title that browser show (not displayed on web page) web_page_refresh_on = True # False=Off (never) Refresh True=On (per seconds below) web_page_refresh_sec = "900" # Default= "900" seconds to wait for web page refresh seconds (15 minutes) web_page_blank = False # True Starts left image with a blank page until a right menu item is selected

False displays second list[1] item since first may be in progress

Left iFrame Image Settings

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web_image_height = "768" # Default= "768" px height of images to display in iframe web_iframe_width_usage = "70%" # Left Pane - Sets % of total screen width allowed for iframe. Rest for right list web_iframe_width = "80%" # Desired frame width to display images. can be eg percent "80%" or px "1280" web_iframe_height = "80%" # Desired frame height to display images. Scroll bars if image larger (percent or px)

Right Side Files List

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web_max_list_entries = 0 # 0 = All or Specify Max right side file entries to show (must be > 1) web_list_height = web_image_height # Right List - side menu height in px (link selection) web_list_by_datetime = True # True=datetime False=filename web_list_sort_descending = True # reverse sort order (filename or datetime per web_list_by_datetime setting

---------------------------------------------- End of User Variables -----------------------------------------------------

[carterw]

I'm not seeing that here. What kind of camera are you using and what Raspberry Pi?

[kummerr]

For the camera I'm using the 640x480 substream of a Dahua IPC-HDW5231R-ZE. The application is running on a VirtualBox RPi VM.

[carterw]

That's a pretty exotic setup. Are you sure you are getting image frames at a constant and accurate rate? The application depends on a steady stream of images that all come in on time so it can measure pixels over time.

[kummerr]

I thought so, but now that you bring this up I'm not so sure. I know that the camera stream is working well in Blue Iiris.

[carterw]

If I were you I would write a little diagnostic code that monitors the amount of time between the incoming images and looks for intervals that are out of the ordinary. Maybe at the top of the "while still_scanning" loop.