scholarly journals Pothole Detection and Reporting System

2021 ◽  
Vol 9 (9) ◽  
pp. 1945-1949
Author(s):  
Yash Raut
Keyword(s):  
Object Detection ◽  
Reporting System ◽  
Detection System ◽  
Index Term ◽  
Municipal Authority ◽  
The Government ◽  
Pothole Detection ◽  
Complete Reporting

Abstract: Potholes on roads are the major problem for citizens acting as pedestrians as well as drivers. Government bodies which consist of engineers and workers are responsible to detect damages on roads and fix those damages. A recent study stated that every year around 3,597 people die due to potholes. The size and depth of the pothole may vary in a different place. Potholes had to be taken seriously. This system consists of a citizen with a handheld android/ios device with internet and GPS enabled, gathering the data in form of images and reporting to the government along with Geo-location. The study focuses on collecting and analyzing the datasets of potholes that are clicked by the users and detection of a pothole in that image via the TensorFlow Lite Model. The object detection system TensorFlow Lite is used for detecting the potholes, it shows that we can identify potholes from images clicked by the citizens and uploaded by the same application on the server and if a pothole is detected it ensures the complete reporting to the municipal authority along with the location. Index Term: Potholes, Android, GPS, Geo-location, Tensor- Flow Lite, Datasets, Reporting.

scholarly journals Pothole Detection System

2020 ◽  
Vol 9 (6) ◽  
pp. 89-92
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Efficient Method ◽  
Mobile Application ◽  
Detection System ◽  
The Road ◽  
Communication Gap ◽  
The Government ◽  
Pothole Detection

Potholes are a common nuisance that most people have had the displeasure of coming across. These bowl-shaped cavities in the road cause a large proportion of automobile related accidents, either directly or indirectly. Begetting the process of getting a pothole covered/fixed is a time consuming one that involves informing the appropriate authorities and having them take action. Implementing a system that involves citizens in the process of detecting pothole is what is being envisioned. The system includes a mobile application which is capable of taking a photo, this photo is then sent to a backend server where it is processed by a neural network model capable of detecting potholes. If any potholes are detected in the photo then the photo is saved along with its geolocation and forwarded to the appropriate authorities thus providing an efficient method of identifying potholes and removing the communication gap between the government and its citizens.

scholarly journals Transcription Alignment of Historical Vietnamese Manuscripts without Human-Annotated Learning Samples

2021 ◽  
Vol 11 (11) ◽  
pp. 4894
Author(s):  
Anna Scius-Bertrand ◽  
Michael Jungo ◽  
Beat Wolf ◽  
Andreas Fischer ◽  
Marc Bui
Keyword(s):  
Object Detection ◽  
State Of The Art ◽  
Positive Impact ◽  
Detection System ◽  
Training Data ◽  
Detection Accuracy ◽  
Current State ◽  
Alignment Task ◽  
Scanned Image ◽  
Automatic Transcription

The current state of the art for automatic transcription of historical manuscripts is typically limited by the requirement of human-annotated learning samples, which are are necessary to train specific machine learning models for specific languages and scripts. Transcription alignment is a simpler task that aims to find a correspondence between text in the scanned image and its existing Unicode counterpart, a correspondence which can then be used as training data. The alignment task can be approached with heuristic methods dedicated to certain types of manuscripts, or with weakly trained systems reducing the required amount of annotations. In this article, we propose a novel learning-based alignment method based on fully convolutional object detection that does not require any human annotation at all. Instead, the object detection system is initially trained on synthetic printed pages using a font and then adapted to the real manuscripts by means of self-training. On a dataset of historical Vietnamese handwriting, we demonstrate the feasibility of annotation-free alignment as well as the positive impact of self-training on the character detection accuracy, reaching a detection accuracy of 96.4% with a YOLOv5m model without using any human annotation.

scholarly journals Rapid Foreign Object Detection System on Seaweed Using VNIR Hyperspectral Imaging

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5279
Author(s):  
Dong-Hoon Kwak ◽  
Guk-Jin Son ◽  
Mi-Kyung Park ◽  
Young-Duk Kim
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Hyperspectral Imaging ◽  
High Speed ◽  
Detection System ◽  
Imaging Techniques ◽  
Foreign Object ◽  
Subtraction Method ◽  
Foreign Objects ◽  
Time Operation

The consumption of seaweed is increasing year by year worldwide. Therefore, the foreign object inspection of seaweed is becoming increasingly important. Seaweed is mixed with various materials such as laver and sargassum fusiforme. So it has various colors even in the same seaweed. In addition, the surface is uneven and greasy, causing diffuse reflections frequently. For these reasons, it is difficult to detect foreign objects in seaweed, so the accuracy of conventional foreign object detectors used in real manufacturing sites is less than 80%. Supporting real-time inspection should also be considered when inspecting foreign objects. Since seaweed requires mass production, rapid inspection is essential. However, hyperspectral imaging techniques are generally not suitable for high-speed inspection. In this study, we overcome this limitation by using dimensionality reduction and using simplified operations. For accuracy improvement, the proposed algorithm is carried out in 2 stages. Firstly, the subtraction method is used to clearly distinguish seaweed and conveyor belts, and also detect some relatively easy to detect foreign objects. Secondly, a standardization inspection is performed based on the result of the subtraction method. During this process, the proposed scheme adopts simplified and burdenless calculations such as subtraction, division, and one-by-one matching, which achieves both accuracy and low latency performance. In the experiment to evaluate the performance, 60 normal seaweeds and 60 seaweeds containing foreign objects were used, and the accuracy of the proposed algorithm is 95%. Finally, by implementing the proposed algorithm as a foreign object detection platform, it was confirmed that real-time operation in rapid inspection was possible, and the possibility of deployment in real manufacturing sites was confirmed.

scholarly journals Raise your Glasses - the Water's Magic! Strategic IT at SA Water: A Case Study in Alignment, Outsourcing and Governance

2004 ◽  
Vol 19 (2) ◽  
pp. 130-139 ◽  
Author(s):  
Alan Thorogood ◽  
Philip Yetton ◽  
Anthony Vlasic ◽  
Joan Spiller
Keyword(s):  
Water Quality ◽  
Information Technology ◽  
Reporting System ◽  
Business Value ◽  
It Infrastructure ◽  
Australian Water ◽  
Quality Reporting ◽  
Business Applications ◽  
The Government

The South Australian Water case study illustrates the management challenges in aligning Information Technology with business objectives in a publicly owned corporation. To achieve the alignment, the new CIO begins by refreshing the IT infrastructure to support the required business applications. When the Government establishes ‘Improved water quality’ as a major corporate goal, the CIO seeks to add value to the business by developing a quality reporting system that leverages the existing technology. At the same time, he demonstrates to the corporation the IT function's capability to deliver business value through the management of multiple outsourcing vendors.

scholarly journals Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras

2018 ◽  
Author(s):  
Jesus Benito-Picazo ◽  
Enrique Dominguez ◽  
Esteban J. Palomo ◽  
Ezequiel Lopez-Rubio ◽  
Juan Miguel Ortiz-de-Lazcano-Lobato
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Detection System

Object Detection System with Image and Speech Recognition

2020 ◽  
pp. 85-94
Author(s):  
Chung Van Le ◽  
Vikram Puri ◽  
Sandeep Singh Jagdev
Keyword(s):  
Speech Recognition ◽  
Object Detection ◽  
Detection System

scholarly journals PELATIHAN DAN SOSIALISASI SISTEM INFORMASI KEUANGAN PADA SEKOLAH ISLAM TERPADU PEKANBARU

2018 ◽  
Vol 2 (2) ◽  
pp. 211-219
Author(s):  
Wenni Syafitri ◽  
Muhamad Sadar ◽  
Eddisyah Putra Pane
Keyword(s):  
Basic Education ◽  
Reporting System ◽  
Education Practice ◽  
The Third ◽  
Poor Students ◽  
Cost Of Education ◽  
Third Stage ◽  
The Government ◽  
Reporting Mechanism ◽  
The Cost

SMP IT Madani as one of the schools that apply the concept of islamic in its education practice. SMPIT Madani is a school formed by amil zakat self-supporting institution ummah Riau by using theconcept of free school. SMP IT stands in 2011 with a total of 20 students. Over time, the currentnumber of junior Madani IT students amounted to 75 students. The average students who attendjunior high school IT is the students who come from poor families.SMP IT Madani has received School Operational Assistance (BOS) a few years back. The BOSprogram uses a different approach than Special Assistance for Students (BKM) ie BOS funds are notgiven to poor students but are provided to schools and managed by schools. The mechanism forcalculating BOS funds is based on the number of students in each school. So the goal of this BOScan be achieved is to free the cost of education for poor students or not able and can alleviate forother students so they can get 9 years basic education services.The obligations of schools receiving BOS programs should report the realization of the use of theprogram to the government. Currently schools are having difficulties to make reporting realizationof BOS program to government and foundation. Differences in reporting formats to foundations andgovernments make the school experience serious problems. If it does not sync between reportingbetween the government and the foundation will cause many other questions and problems. Wheninterviewed, the school is very eager for this matter to be resolved immediately.Based on the problems of the partners, it can be concluded the solution of the problem is a reportinginformation system synchronized to the government and the foundation. So that SMP IT Madani nolonger experience obstacles to the reporting of BOS program activities. As a result the name ofUnilak increasingly fragrant in the eyes of society, especially SMP IT Madani.Method of implementation of activities used is direct observation to the location of partners toperform the first phase, this stage includes data collection and data processing. When this stage takesplace, we will get an overview of the Information Technology environment, and the partner's needfor the BOS program reporting mechanism. After the first phase is done, it will be held the secondphase of socialization, this stage to do the sosiasisasi about the benefits of synchronizing BOSreporting to the government and the foundation. Then in the third stage, the authors do the designand implementation of BOS reporting system based on information obtained from the foundation.Finally, the training phase: Each partner school sends its representative two people, to attend trainingon the use of reporting system that can synchronize BOS and foundation reporting.

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