scholarly journals Smart Vehicle Parking System Using Computer Vision and Internet of Things (IoT)

2021 ◽  
Vol 1 (2) ◽  
pp. 11-16
Author(s):  
Onate Taylor ◽  
P. S. Ezekiel ◽  
V. T. Emmah
Keyword(s):  
Computer Vision ◽  
Internet Of Things ◽  
Urban Areas ◽  
High Definition ◽  
High Quality ◽  
Parking System ◽  
Quality Video ◽  
Multiple Vehicles ◽  
Car Park ◽  
Rivers State

Internet of Things is the interconnectivity between things, individuals and cloud administrations by means of web, which empowers new plans of action. Because of these exchanges, immense volumes of information are smartly created and is shipped off cloud-based server through web; the information is being handled and broken down, bringing about significant and convenient activities for observing the car parking. The serious issue that is arising currently at a worldwide scale and developing dramatically is the gridlock issue brought about by vehicles. A worldwide scale and developing dramatically is the gridlock issue brought about by vehicles. Among that, finding a better parking sparking space in urban areas has become a major problem with an increase of the numbers of vehicles on a daily bases. Therefore making it difficult in having a better and safe parking spot. The system proposes an intelligent smart parking system using computer vision and internet of things. The proposed system starts by acquiring a dataset. The dataset is made up images of various vehicles, which was collected from the faculty of science car park at the Rivers State University, Port Harcourt, Rivers State Nigeria. We proposed two methods for vehicle/parking slot detection. The first method is the use of convolution neural network algorithm which is used with a haar cascade classifier in detection of multiple vehicles in a single picture and video, and put rectangular boxes  on identified vehicles. This first method obtained an accuracy of 99.80%. In the second method, we made use of a Mask R-CNN, here we download a pre-trained model weights which was trained on a coco dataset to identify various objects in videos and pictures. The Mask R-CNN model was used to identify various vehicles by putting a bounding box on each of the vehicle detected, but one of the problem of the Mask R-CNN is that it quite slow in training, and it could not really detect all vehicles tested on a high quality high definition video. In summary our, trained model was able to detect vehicles and parking slot on high quality video and it consumes lesser graphic card.

High Definition Television (HDTV) and Video Surveillance

2014 ◽  
pp. 219-223
Keyword(s):  
Video Surveillance ◽  
Video Quality ◽  
Image Data ◽  
Good Choice ◽  
Frame Rate ◽  
Surveillance Video ◽  
High Definition ◽  
High Quality ◽  
High Definition Television ◽  
Quality Video

High definition television is becoming ever more popular, opening up the market to new high-definition technologies. Image quality and color fidelity have experienced improvements faster than ever. The video surveillance market has been affected by high definition television demand. Since video surveillance calls for large amounts of image data, high-quality video frame rates are generally compromised. However, a network camera that conforms to high definition television standards shows good performance in high frame rate, resolution, and color fidelity. High quality network cameras are a good choice for surveillance video quality.

scholarly journals Automated smart car parking system for smart cities demand employs internet of things technology

2021 ◽  
Vol 10 (1) ◽  
pp. 46
Author(s):  
Rahman Atiqur
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
City Life ◽  
Economic Progress ◽  
Parking System ◽  
Car Park ◽  
Internet Of Things Technology ◽  
The City ◽  
The Internet Of Things

<span>The use of smart cities rises quickly with the fast progress of the Internet of Things (IoT) advances. The smart city idea essentially getting city life; as well raises the capability of municipal jobs and facilities plus form viable economic progress of the city. The point of convergence of this paper is to introduce an automated smart automobile parking system for smart cities demand employs internet of things (IoT) technology. The offered automobile parking system covers an IoT entity sent nearby for getting sorted out the existing parking spots which are quicker contrasted with different frameworks. It is a viewpoint gave as an iOS application for reservation, entrance, supervision, and leaving the car park places.</span>

scholarly journals A study of remotely booking slot for vehicle using Internet of Things

2020 ◽  
Vol 10 (5) ◽  
pp. 5392
Author(s):  
S. Metilda Florence ◽  
M. Uma ◽  
C. Fancy ◽  
G. Saranya
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Sensor Nodes ◽  
Raspberry Pi ◽  
Cost Information ◽  
System A ◽  
Parking System ◽  
Car Park ◽  
Smart Parking ◽  
The Cost

Internet Of Things (IoT) is a continually growing area which aids us to unite diverse objects. The proposed system exhibits the universal notion of utilizing cloud-based intellectual automotive car parking facilities in smart cities as a notable implementation of the IoT. Such services demonstrate to be a noteworthy part of the IoT and thus serving users in no small amount due to its pure commerce positioned qualities. Electromagnetic fields are being used by RFID to detect and track tags ascribed to objects automatically. The RFID technology is used in this system along with suitable IoT protocols to evade human interference, which reduces the cost. Information is bartered using readers and tags. RFID and IoT technologies are mainly used to automate the guide systems and make them strong and more accurate. Open Service Gateways can be effectively used for this module. This system established on the consequence of IoT and the purposes are solving the chaos, bewilderment, and extensive backlogs in parking spaces like malls and business parks that are customary as a consequence of the increased use of automobiles. The proposed work aims to solve these problems and offer car drivers a hassle-free and instantaneous car parking experience. While a number of nodes are positioned depends on topographical restrictions, positioning of prominent anchor sensor nodes in the smart parking is a primary factor against which the efficiency and cost of the parking system hang. A Raspberry Pi would act as a mini-computer in our system. A suitable smallest path methodology would be cast-off to obtain the shortest distance between the user and every car park in the system. Hence, the pausing time of the user is decreased. This work furthermore includes the practice of remotely booking of a slot with the collaboration of android application exercising smartphones for the communication between the Smart Parking system and the user.

scholarly journals Smart Parking System using IOT

2020 ◽  
Author(s):  
Waleed Zahir Al Qaidhi ◽  
Muhammad Sohail
Keyword(s):  
Information And Communication Technologies ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Communication Technologies ◽  
Research Paper ◽  
Harmful Emissions ◽  
Parking System ◽  
Car Park ◽  
Information And Communication ◽  
Smart Parking

   With the development of road infrastructure, there is a significant increase in number of private vehicles which results in traffic congestion, directly effecting the flow of traffic, and life of citizens. Parking becomes a significant problem in the urban areas (Cao & Menendez, 2015). The research paper proposes a smart parking system to solve the current parking problem at affordable cost. Previously automatic car parking system were proposed to reduce the space or size required for parking especially in crowded places with few spaces, such as a multi-story car park providing cars with parking on multiple levels stacked vertically to increase the number of parking spaces (Ibrahim, 2017). The proposed system utilizes the latest advancement in the Information and Communication Technologies and consists of  four layers: Application, Middleware, Networking, and sensor layer. It offers environmental friendly, reduces harmful emissions during parking, and is a computerized system pre-programmed without human intervention. The research paper highlights the comparison of traditional parking system with smart parking system using IoT. The paper also proposes a framework for smart parking system.

A Study on Car Parking System Using Internet of Things

2020 ◽  
Author(s):  
Preeti Sarkar ◽  
Shital Bharti ◽  
Puja Das ◽  
Rohit Kumar ◽  
Roshan Singh Munda ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Parking System

scholarly journals EDCrammer: An Efficient Caching Rate-Control Algorithm for Streaming Data on Resource-Limited Edge Nodes

2019 ◽  
Vol 9 (12) ◽  
pp. 2560 ◽  
Author(s):  
Yunkon Kim ◽  
Eui-Nam Huh
Keyword(s):  
Intelligent Transportation System ◽  
Streaming Data ◽  
Data Traffic ◽  
High Quality ◽  
Data Caching ◽  
Resource Limited ◽  
Quality Video ◽  
Key Factor ◽  
Efficient Data ◽  
Art Research

This paper explores data caching as a key factor of edge computing. State-of-the-art research of data caching on edge nodes mainly considers reactive and proactive caching, and machine learning based caching, which could be a heavy task for edge nodes. However, edge nodes usually have relatively lower computing resources than cloud datacenters as those are geo-distributed from the administrator. Therefore, a caching algorithm should be lightweight for saving computing resources on edge nodes. In addition, the data caching should be agile because it has to support high-quality services on edge nodes. Accordingly, this paper proposes a lightweight, agile caching algorithm, EDCrammer (Efficient Data Crammer), which performs agile operations to control caching rate for streaming data by using the enhanced PID (Proportional-Integral-Differential) controller. Experimental results using this lightweight, agile caching algorithm show its significant value in each scenario. In four common scenarios, the desired cache utilization was reached in 1.1 s on average and then maintained within a 4–7% deviation. The cache hit ratio is about 96%, and the optimal cache capacity is around 1.5 MB. Thus, EDCrammer can help distribute the streaming data traffic to the edge nodes, mitigate the uplink load on the central cloud, and ultimately provide users with high-quality video services. We also hope that EDCrammer can improve overall service quality in 5G environment, Augmented Reality/Virtual Reality (AR/VR), Intelligent Transportation System (ITS), Internet of Things (IoT), etc.

scholarly journals Analysis of Occlusion Effects for Map-Based Self-Localization in Urban Areas

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5196
Author(s):  
Yuki Endo ◽  
Ehsan Javanmardi ◽  
Shunsuke Kamijo
Keyword(s):  
Urban Areas ◽  
Structural Information ◽  
Average Error ◽  
High Definition ◽  
Geometrical Structures ◽  
Real Environment ◽  
Surrounding Environment ◽  
Localization Errors ◽  
Stable Estimation ◽  
High Level

A high-definition (HD) map provides structural information for map-based self-localization, enabling stable estimation in real environments. In urban areas, there are many obstacles, such as buses, that occlude sensor observations, resulting in self-localization errors. However, most of the existing HD map-based self-localization evaluations do not consider sudden significant errors due to obstacles. Instead, they evaluate this in terms of average error over estimated trajectories in an environment with few occlusions. This study evaluated the effects of self-localization estimation on occlusion with synthetically generated obstacles in a real environment. Various patterns of synthetic occlusion enabled the analyses of the effects of self-localization error from various angles. Our experiments showed various characteristics that locations susceptible to obstacles have. For example, we found that occlusion in intersections tends to increase self-localization errors. In addition, we analyzed the geometrical structures of a surrounding environment in high-level error cases and low-level error cases with occlusions. As a result, we suggested the concept that the real environment should have to achieve robust self-localization under occlusion conditions.

scholarly journals Regional education on endoscopic surgery using a teleconference system with high-quality video via the internet: Saga surgical videoconferences

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Tatsuya Manabe ◽  
Mitsuhiro Takasaki ◽  
Takao Ide ◽  
Kenji Kitahara ◽  
Seiji Sato ◽  
...  
Keyword(s):  
Endoscopic Surgery ◽  
Educational System ◽  
High Speed ◽  
The Internet ◽  
Web Conferencing ◽  
High Quality ◽  
Anatomical Structures ◽  
Quality Video ◽  
High Quality Video ◽  
Conferencing System

Abstract Background Effective education about endoscopic surgery (ES) is greatly needed for unskilled surgeons, especially at low-volume institutions, to maintain the safety of patients. We have tried to establish the remote educational system using videoconference system through the internet for education about ES to surgeons belonging to affiliate institutions. The aim of this manuscript was to report the potential to establish a comfortable remote educational system and to debate its advantages. Methods We established a local remote educational conference system by combining the use of a general web conferencing system and a synchronized remote video playback system with annotation function through a high-speed internet. Results During 2014–2019, we conducted 14 videoconferences to review and improve surgeons’ skills in performing ES at affiliated institutions. At these conferences, while an uncut video of ES that had been performed at one of the affiliated institutions was shown, the surgical procedure was discussed frankly, and expert surgeons advised improvements. The annotation system is useful for easy, prompt recognition among the audience regarding anatomical structures and procedures that are difficult to explain verbally. Conclusions This system is of low initial cost and offers easy participation and high-quality videos. It would therefore be a useful tool for regional ES education.

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