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The Intelligent Parking
System
SDP ’07
Team Frasier
Tom Cleary
Matt Regan
Bill Ryan
Adam Bailin
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Background and Motivation
►We have all been in a huge parking lot
before and not been able to find a parking
spot
►Imagine being late for a flight and upon
entering the huge parking lot, a simple
display tells you exactly how to get to a
great parking spot
►Minimize road rage incidents resulting from
people stealing spots
Overview of System
►User will be able to drive up to parking lot
and view current map of parking spots
►User can then determine the optimal spot
and reserve the spot using the GUI.
►The spot will remain reserved until they
take the spot or their time expires.
Operation of System
► Have camera(s) mounted somewhere to view all
of the spots
► Image Processing to determine spot locations
► Snapshot every few seconds
► Have some way of determining spots
 -Have reference image to compare current image to
 -Compare image I to image I-1, look for noticeable
differences
►Subtle differences (between spans of seconds) can be caused
by ambient conditions, shadows, etc
Parts
►Video Camera
 Webcam, wireless
►Interaction with user
 Output: Display – to show user available spots
 Input: Keypad, some way for user to choose
spot
Things to Consider
► How many cameras?
 More cameras will yield a greater accuracy on which
spots are open and which are not
►Unknown factors may block a camera such as a large truck
blocking one camera entirely
► Angle of cameras to cars
 facing parallel or perpendicular to sun’s path
 Glare of sun will be a factor
 Should be positioned parallel to the cars
► Image Processing
 When should the comparative snapshot be updated?
Example
Problems with this picture?
Image Processing
►Logitech web cameras have API available
 Possibly develop our own image processing tool
►Import frame from camera, import into
MATLAB or similar tool for processing
►Take comparative snapshot array and
subtract it from base snapshot array to see
differences
Testing Our System
►Get the camera(s) mounted within the
month
 Start capturing pictures and getting the picture
array data into a usable form.
 Start using real world testing.
Block Diagram
GUI
Base Station Video Camera
Laptop
Mapping Algorithm
Image Processing
Receive Image
Request Image Take Picture
Transmit Image
Alternative Methods
Advantages and Disadvantages?
Alternative Methods
Advantages and Disadvantages?
Deliverables
►Camera mounted above a parking lot
►Image gets sent to base station, which is
able to accurately map out the parking
spots
►Have user drive up to parking lot and select
a vacant spot
►System reserves spot for user, updates map
when user parked
Proposed MDR Specifications
►Camera(s) mounted in optimal location
►Camera able to transmit image to base
station, base station able to receive image
►Basic image processing on image
Questions?

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The intelligent parking system

  • 1. The Intelligent Parking System SDP ’07 Team Frasier Tom Cleary Matt Regan Bill Ryan Adam Bailin
  • 2. Are you looking to buy a magnetic car mount Check out: Top 10 Best Magnetic Phone Car Mount in 2018 Reviews
  • 3. Background and Motivation ►We have all been in a huge parking lot before and not been able to find a parking spot ►Imagine being late for a flight and upon entering the huge parking lot, a simple display tells you exactly how to get to a great parking spot ►Minimize road rage incidents resulting from people stealing spots
  • 4. Overview of System ►User will be able to drive up to parking lot and view current map of parking spots ►User can then determine the optimal spot and reserve the spot using the GUI. ►The spot will remain reserved until they take the spot or their time expires.
  • 5. Operation of System ► Have camera(s) mounted somewhere to view all of the spots ► Image Processing to determine spot locations ► Snapshot every few seconds ► Have some way of determining spots  -Have reference image to compare current image to  -Compare image I to image I-1, look for noticeable differences ►Subtle differences (between spans of seconds) can be caused by ambient conditions, shadows, etc
  • 6. Parts ►Video Camera  Webcam, wireless ►Interaction with user  Output: Display – to show user available spots  Input: Keypad, some way for user to choose spot
  • 7. Things to Consider ► How many cameras?  More cameras will yield a greater accuracy on which spots are open and which are not ►Unknown factors may block a camera such as a large truck blocking one camera entirely ► Angle of cameras to cars  facing parallel or perpendicular to sun’s path  Glare of sun will be a factor  Should be positioned parallel to the cars ► Image Processing  When should the comparative snapshot be updated?
  • 9. Image Processing ►Logitech web cameras have API available  Possibly develop our own image processing tool ►Import frame from camera, import into MATLAB or similar tool for processing ►Take comparative snapshot array and subtract it from base snapshot array to see differences
  • 10. Testing Our System ►Get the camera(s) mounted within the month  Start capturing pictures and getting the picture array data into a usable form.  Start using real world testing.
  • 11. Block Diagram GUI Base Station Video Camera Laptop Mapping Algorithm Image Processing Receive Image Request Image Take Picture Transmit Image
  • 14. Deliverables ►Camera mounted above a parking lot ►Image gets sent to base station, which is able to accurately map out the parking spots ►Have user drive up to parking lot and select a vacant spot ►System reserves spot for user, updates map when user parked
  • 15. Proposed MDR Specifications ►Camera(s) mounted in optimal location ►Camera able to transmit image to base station, base station able to receive image ►Basic image processing on image