Smart Traffic Light Scheduling in Smart City Using Image and Video Processing

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality. © 2018 JASET, International Scholars and Researchers Association

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Image and video processing on mobile devices: a survey

The Visual Computer ◽

10.1007/s00371-021-02200-8 ◽

2021 ◽

Author(s):

Chamin Morikawa ◽

Michihiro Kobayashi ◽

Masaki Satoh ◽

Yasuhiro Kuroda ◽

Teppei Inomata ◽

...

Keyword(s):

Mobile Devices ◽

Video Processing ◽

Image And Video Processing

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A Novel HBE-MCM-Based Multiplier Architecture for 8-Point DCT Structure

Journal of Circuits System and Computers ◽

10.1142/s0218126617500542 ◽

2016 ◽

Vol 26 (04) ◽

pp. 1750054

Author(s):

M. Kiruba ◽

V. Sumathy

Keyword(s):

Video Processing ◽

Power Dissipation ◽

Field Programmable Gate Array ◽

Video Codec ◽

Floating Point ◽

Data Path ◽

Image And Video Processing ◽

Field Programmable ◽

Minimum Number ◽

Code Language

The Discrete Cosine Transform (DCT) structure plays a significant role in the signal processing applications such as image and video processing applications. In the traditional hardware design, the 8-point DCT architecture contains more number of logical slices in it. Also, it consists of number of multipliers to update the weight. This leads to huge area consumption and power dissipation in that architecture. To mitigate the conventional drawbacks, this paper presents a novel Hierarchical-based Expression (HBE)-Multiple Constant Multiplication (MCM)-based multiplier architecture design for the 8-point DCT structure used in the video CODEC applications. The proposed work involves modified data path architecture and Floating Point Processing Element (FPPE) architecture. Our proposed design of the multipliers and DCT architecture requires minimum number of components when compared to the traditional DCT method. The HBE-MCM-based multiplier architecture includes shifters and adders. The number of Flip-Flops (FFs) and Look Up Tables (LUTs) used in the proposed architecture is reduced. The power consumption is reduced due to the reduction in the size of the components. This design is synthesized in VERILOG code language and implemented in the Field Programmable Gate Array (FPGA). The performance of the proposed architecture is evaluated by comparing it with traditional DCT architecture in terms of the Number of FFs, Number of LUTs, area, power, delay and speed.

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Implementing smart traffic light control system using FPGAs: retrofit proposal

3rd Smart Cities Symposium (SCS 2020) ◽

10.1049/icp.2021.0830 ◽

2021 ◽

Author(s):

A. Azzam ◽

M. M. Al-Khalidy ◽

A. M. Al-Khalidy

Keyword(s):

Control System ◽

Light Control ◽

Traffic Light ◽

Traffic Light Control ◽

Smart Traffic

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Smart Traffic Light System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.38053 ◽

2021 ◽

Vol 9 (9) ◽

pp. 679-686

Author(s):

Rashi Maheshwari

Keyword(s):

Traffic Congestion ◽

Traffic Signals ◽

Traffic Monitoring ◽

Traffic Signal ◽

Traffic Signal Control ◽

Traffic Light ◽

Mathematical Functions ◽

Light System ◽

Smart Traffic ◽

And Control

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.

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