ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774


COST-EFFECTIVE VEHICLE TYPE BASEDSMART
PARKING SYSTEM OVER DEEP NEURAL NETWORK


Abstract

Abstract- Vehicle type recognition in surveillance images with deep learning has received important attention in various applications of intelligent transportation systems. Thus, a deep active learning method with a new query strategy is proposed in this implementation for vehicle type recognition in surveillance images. As the rate of people owning their vehicles increases, the need of parking slots to park vehicles also increases. But currently the scenario is that there are not sufficient parking slots available or there is also possibility that people are not now aware about the legal parking slots available in their locality. To overcome this problem we are going to invent video based parking system.
Keywords- Active learning, deep learning, surveillance images, vehicle type recognition.

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Paper Submission Open For October 2024
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th October, 2024
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