Parking Spot Locator
Problem Statement Difficulty finding parking spots in public places Takes time to find a parking spot Existing solution Hire people to direct drivers to vacant spots Using security camera and parking attendant Our solution A low cost device to locate the vacant spots in a parking lot Several cameras Personal computer Microcontrollers Image processing software
Solution Process Camera captures images of the parking lot Microcontroller segments images into individual parking spaces by cropping out critical areas of each parking space Microcontroller processes images of the individual parking spaces to determine the status of each parking space. Sends vacant spot ID numbers wirelessly to PC. PC uses information to update a GUI display of the parking lot.
Product Overview Multiple Cameras will be used to cover the entire parking lot Cameras will be installed as shown below. Figure 1: Camera installation Camera must be at least 20 feet high for optimal coverage and accurate results Each camera will cover at least 18 parking spaces 20ft
Results of previous Design group A fairly accurate algorithm for analyzing parking lot images. A MatLAB based GUI display of Parking lot Information (Demo version).
Picture 1Picture 2 Image Smoothing Image Normalization Correlation Computation Find Maximum Correlation. Correlation value 0 corr 1 Image Correlation Algorithm
GUI display of Parking Lot
Our Design Options Data Transmission Vacant ID numbers vs. Captured images Burden on PC instead of microcontroller Data Communication Low cost wireless connection Infrared or Radio transmitters Interfacing of the devices Embedded microcontroller into a camera Develop an adaptable microcontroller End User Display A brand new GUI based program
Deliverables A physical product consisting of a laptop, camera, microcontroller, and a parking lot. Camera will capture images over timed intervals Microcontroller will analyze images and send information to laptop wirelessly. Laptop will be able to display the filled and vacant spots.
Project Schedule 16-May25-Mar Final Presentation and Report 7 16-Apr18-Jan Device coding, testing, and debugging 6 3-Mar2-Feb Progress report5 21-Mar3-Nov Research & Development4 9-Dec 5-Dec Proposal - oral3 27-Nov25-Oct Proposal - written2 26-Oct1-OctInitial pre-proposal1 EndStartTask NameID MayAprMarFebJanDecNovOct
Design Team Budget CategoryItemsProposed Cost QuantityCurrent Total SoftwareMatLab (License)$0.001 HardwarePersonal Computer$0.001 Camera$ Microcontroller$ Transmitter$ Total $225.00
Private Enterprise Budget CategoryItemsProposed CostQuantityCurrent Total SoftwareMatLab (License)$ HardwareComputer PC$ Camera$ Microcontroller$ Transmitter$401$40.00 TestingLab Facilities$0.001 Additional testing equipment $0.001 MiscellaneousPhone Calls/ Postage$ Manufacturing labor (hours) $ $ Total $39,250.00
Sales Projections Nine month production cost of $39,250 Projected sale of one client per month Single camera/software package at $2,750 9 additional camera units at $1,500 Total revenue $146,250 Total profit of $107,000
Constraints and Challenges Environmental constraints Changes in weather conditions Illumination of the parking lot Interface connections Wireless interference Vehicle sizes Time 8 months to complete the project
Social / Environmental Analysis Reduction in employment The product gives more good to a greater number of people (Utilitarianism) Reduction of air pollution in parking lots Reduction in parking related stress People find places to park quicker Save gas Increase productivity
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