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Automated Car Parking Management System using LabVIEW and IR Sensors

by Bandar Hezam
Save 14% Save 14%
Current price ₹2,259.00
Original price ₹2,637.00
Original price ₹2,637.00
Original price ₹2,637.00
(-14%)
₹2,259.00
Current price ₹2,259.00

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Book cover type: Paperback
  • ISBN13: 9783346979858
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Grin Verlag
  • Publisher Imprint: Grin Verlag
  • Publication Date:
  • Pages: 34
  • Original Price: USD 26.9
  • Language: English
  • Edition: N/A
  • Item Weight: 59 grams
  • BISAC Subject(s): General

Seminar paper from the year 2019 in the subject Engineering - Computer Engineering, grade: A, language: English, abstract: This project, introduces an automated and efficient solution for car parking management. Utilizing LabVIEW's front panel and block diagram functionalities, the system is specifically designed to automate the entry and exit processes in a car parking facility. The incorporation of an LCD provides real-time information on the total number of parked cars and available parking spaces. The project employs a slide switch to detect vehicle entry and exit, preventing further entries when the parking area reaches full capacity. In such cases, a "NO SPACE FOR PARKING" message is displayed on the LCD in red, signaling that the parking facility is at maximum capacity. The system ensures that the entrance gate remains closed if there is no available parking space. Upon a vehicle leaving the park, the controller updates the count and allows other vehicles to enter. To address limitations of existing systems, the proposed solution integrates IR sensors. These sensors not only determine the availability of parking slots but also allocate and de-allocate them based on the presence of vehicles at entry and exit points. This innovation eliminates the time-consuming process of searching for an empty parking slot in a large area, providing a more user-friendly and efficient car parking management system. The inclusion of LED indicators further enhances user experience by signaling the availability of parking spaces in real-time, with green indicating availability and red indicating occupancy.

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