English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Nowadays, due to modern and lavish lifestyles people prefer their own vehicles while going anywhere, resulting in increased traffic congestion and parking problems. In this paper, we propose and present a completely automated system AUTOPARK that will solve the parking issues without any human intervention. The system will comprise of an infrastructure based wired sensor network with sensors placed at each parking slot to detect the occupancy of the parking slots. It also comprises of an automated voice enabled system for guiding vehicles to the available vacant slots by giving directions. The system also enables security and takes into consideration the prevention of theft of vehicles, for this purpose we incorporate face detection and number plate recognition modules so that a track record can be maintained. In case of any mishap or unidentified car or person, communication can be made with base station for immediate human assistance. The paper further discusses design model, the architectural layout and methodology used to build AUTOPARK. It concludes with system evaluation and efficiency analysis of the system. Keywords - Face Detection, Number plate recognition, Pressure sensor, Text-to-Speech, Ultrasonic Sensor

AUTOPARK: A Sensor Based, Automated, Secure and Efficient Parking Guidance System