scholarly journals Automated Rescuing Boat Tracking System Using Raspberry Pi

2021 ◽  
Vol 36 (1) ◽  
pp. 466-474
Author(s):  
Adlan Nafiz Norzeli ◽  
Za’iem Sabielar Rasyad ◽  
Muhammad Rusydi Muhammad Razif ◽  
Dalila Misman ◽  
Ili Najaa Aimi Mohd Nordin ◽  
...  
Keyword(s):  
Tracking System ◽  
Swimming Pool ◽  
Water Current ◽  
Raspberry Pi ◽  
Safe Place ◽  
System Validation ◽  
Education Hub ◽  
Recorded Data ◽  
Time Required ◽  
Boat Speed

During floods, safety boats will be dispatched to help flood victims. The location tracking system is important to ensure the safety of the victim. Therefore, this project is conducted to track live locations and monitor flood survivors wirelessly. In tracking the victim’s location, a small and compact computer, called a Raspberry Piis installed on the boat and the recorded data has been uploaded online. This will help firefighters to monitor the location of the boat easily and help the victims navigate the boat to a safe place. A safety camera is installed to help firefighters monitor the situation as well. For system validation, various tests are conducted on-road, swimming pool and Panchor river in Muar, Johor, Malaysia. Hence, the performance on road is accurate. In fact, the recorded speed reading is similar to the speed measured by Google Maps. At the Pagoh Higher Education Hub (HPTP), Johor, Malaysia swimming pool, it is observed that, the faster the boat speed, the shorter the time required to complete a 50 meters trip. Finally, the river testing has shown that the boat speed increases when the boat moves in the same direction as the water current and slows down if the boat and river currents move in opposite directions.

scholarly journals Design and Experimental Characterization of a Discovery and Tracking System for Optical Camera Communications

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2925
Author(s):  
Antonio Mederos-Barrera ◽  
Cristo Jurado-Verdu ◽  
Victor Guerra ◽  
Jose Rabadan ◽  
Rafael Perez-Jimenez
Keyword(s):  
Tracking System ◽  
Region Of Interest ◽  
Experimental Methodology ◽  
Visible Light Communications ◽  
Spatial Features ◽  
Tracking Algorithms ◽  
Receiver Architecture ◽  
Vehicle Networks ◽  
Time Required ◽  
Static Conditions

Visible light communications (VLC) technology is emerging as a candidate to meet the demand for interconnected devices’ communications. However, the costs of incorporating specific hardware into end-user devices slow down its market entry. Optical camera communication (OCC) technology paves the way by reusing cameras as receivers. These systems have generally been evaluated under static conditions, in which transmitting sources are recognized using computationally expensive discovery algorithms. In vehicle-to-vehicle networks and wearable devices, tracking algorithms, as proposed in this work, allow one to reduce the time required to locate a moving source and hence the latency of these systems, increasing the data rate by up to 2100%. The proposed receiver architecture combines discovery and tracking algorithms that analyze spatial features of a custom RGB LED transmitter matrix, highlighted in the scene by varying the cameras’ exposure time. By using an anchor LED and changing the intensity of the green LED, the receiver can track the light source with a slow temporal deterioration. Moreover, data bits sent over the red and blue channels do not significantly affect detection, hence transmission occurs uninterrupted. Finally, a novel experimental methodology to evaluate the evolution of the detection’s performance is proposed. With the analysis of the mean and standard deviation of novel K parameters, it is possible to evaluate the detected region-of-interest scale and centrality against the transmitter source’s ideal location.

IoT Based Bus Tracking System

2021 ◽  
Vol 9 (VI) ◽  
pp. 2889-2893
Author(s):  
Miss Payal W. Paratpure
Keyword(s):  
Tracking System ◽  
Cost Effective ◽  
Raspberry Pi ◽  
Accurate Estimation ◽  
Time Of Arrival ◽  
Test Results ◽  
Cloud Server ◽  
Bus Operator ◽  
Gps Device

Tracking of public bus location requires a GPS device to be installed, and lots of bus operators in developing countries don't have such an answer in situ to supply an accurate estimation of bus time of arrival (ETA). Without ETA information, it's very difficult for the overall public to plan their journey effectively. In this paper, implementation of an innovative IOT solution to trace the real time location of buses without requiring the deployment of a GPS device is discussed. It uses Bluetooth Low Energy (BLE) proximity beacon to trace the journey of a bus by deploying an Estimate location beacon on the bus. BLE detection devices (Raspberry Pi 4) are installed at selected bus stops along the path to detect the arrival of buses. Once detected, the situation of the bus is submitted to a cloud server to compute the bus ETAs. A field trial is currently being conducted in Johor, Malaysia together with an area bus operator on one single path. Our test results showed that the detection of BLE beacons is extremely accurate and it's feasible to trace the situation of buses without employing a GPS device during a cost-effective way.

An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT

2020 ◽  
Vol 34 (11) ◽  
pp. 2059037
Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Raspberry Pi ◽  
Automation System ◽  
Moving Targets ◽  
Embedded Platform ◽  
System A ◽  
Detection And Tracking ◽  
Camshift Algorithm ◽  
Dynamic Target

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.

scholarly journals Virucidal effect of chlorinated water containing cyanuric acid

1988 ◽  
Vol 101 (3) ◽  
pp. 631-639 ◽  
Author(s):  
T. Yamashita ◽  
K. Sakae ◽  
Y. Ishihara ◽  
S. Isomura ◽  
H. Inoue
Keyword(s):  
Cyanuric Acid ◽  
Tap Water ◽  
Swimming Pool ◽  
Inactivation Rate ◽  
Inhibitory Influence ◽  
Distilled Water ◽  
Swimming Pool Water ◽  
Virucidal Effect ◽  
Time Required ◽  
Effect Of Chlorine

SUMMARYThe inhibitory influence of cyanuric acid on the virucidal effect of chlorine was studied. The time required for 99·9% inactivation of ten enteroviruses and two adenoviruses by 0·5 mg/l free available chlorine at pH 7·0 and 25○C was prolonged approximately 4·8–28·8 times by the addition of 30 mg/l cyanuric acid. Comparative inactivation of poliovirus 1 by free available chlorine with or without cyanuric acid revealed the following. The inactivation rate by 1·5 mg/l free available chlorine with 30 mg/l cyanuric acid or by 0·5 mg/l free available chlorine with 1 mg/1 cyanuric acid was slower than by 0·5 mg/1 free available chlorine alone. Temperature and pH did not affect the inhibitory influence of cyanuric acid on the disinfectant action of chlorine. In the swimming-pool and tap water, cyanuric acid delayed the virucidal effect of chlorine as much as in the ‚clean’ condition of chlorine-buffered distilled water. The available chlorine value should be increased to 1·5 mg/l when cyanuric acid is used in swimming-pool water.

scholarly journals Design and Implementation of Children Tracking System using IoT

2019 ◽  
Vol 22 (3) ◽  
pp. 172-179
Author(s):  
Sama Samaan
Keyword(s):  
Real Time ◽  
Mobile Communication ◽  
Mobile Application ◽  
Tracking System ◽  
Raspberry Pi ◽  
Google Maps ◽  
Design And Implementation ◽  
The Past ◽  
Safe Area ◽  
The World

In the past few years, all over the world, crime against children has been on the rise, and parents always worry about their children whenever they are outside. For this reason, tracking and monitoring children have become a considerable necessity. This paper presents an outdoor IoT tracking system which consists of a child module and a parent module. The child module monitors the child location in real time and sends the information to a database in the cloud which forwards it to the parent module (represented as a mobile application). This information is shown in the application as a location on Google maps.  The mobile application is designed for this purpose in addition to a number of extra functions. A Raspberry Pi Zero Wireless is used with a GSM/GPS module on shield to provide mobile communication, internet and to determine location. Implementation results for the suggested system are provided which shows that when the child leaves a pre-set safe area, a warring message pops up on the parent’s mobile and a path from the current parent location to the child location is shown on a map.

scholarly journals Inexpensive, scalable camera system for tracking rats in large spaces

2018 ◽  
Author(s):  
Rajat Saxena ◽  
Warsha Barde ◽  
Sachin S. Deshmukh
Keyword(s):  
Tracking System ◽  
Low Cost ◽  
Video Tracking ◽  
Recording System ◽  
Raspberry Pi ◽  
Camera Tracking ◽  
Camera System ◽  
Wireless Recording ◽  
Firing Characteristics ◽  
Improved Accuracy

AbstractMost studies focused on understanding the neural circuits underlying spatial navigation are restricted to small behavioral arenas (≤ 1 m2) because of the limits imposed by the cables extending from the animal to the recording system. New wireless recording systems have significantly increased the recording range. However, the size of arena is still constrained by the lack of a video tracking system capable of monitoring the animal’s movements over large areas integrated with these recording systems. We developed and benchmarked a novel, open-source, scalable multi-camera tracking system based on commercially available and low-cost hardware (Raspberry Pi computers and Raspberry Pi cameras). This Picamera system was used in combination with a wireless recording system for characterizing neural correlates of space in environments of various sizes up to 16.5 m2. Spatial rate maps generated using the Picamera system showed improved accuracy in estimating spatial firing characteristics of neurons compared to a popular commercial system, due to its better temporal accuracy. The system also showed improved accuracy in estimating head direction cell tuning as well as theta phase precession in place cells. This improved temporal accuracy is crucial for accurately aligning videos from multiple cameras in large spaces and characterizing spatially modulated cells in a large environment.

scholarly journals UAV Object Tracking Application Based on Patch Color Group Feature on Embedded System

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1864
Author(s):  
Ming-Hwa Sheu ◽  
Yu-Syuan Jhang ◽  
S M Salahuddin Morsalin ◽  
Yao-Fong Huang ◽  
Chi-Chia Sun ◽  
...  
Keyword(s):  
Computational Complexity ◽  
Embedded System ◽  
Object Tracking ◽  
Tracking System ◽  
Computational Cost ◽  
Gaussian Mixture ◽  
Raspberry Pi ◽  
Color Group ◽  
Current Frame ◽  
Low Computational Complexity

The discriminative object tracking system for unmanned aerial vehicles (UAVs) is widely used in numerous applications. While an ample amount of research has been carried out in this domain, implementing a low computational cost algorithm on a UAV onboard embedded system is still challenging. To address this issue, we propose a low computational complexity discriminative object tracking system for UAVs approach using the patch color group feature (PCGF) framework in this work. The tracking object is separated into several non-overlapping local image patches then the features are extracted into the PCGFs, which consist of the Gaussian mixture model (GMM). The object location is calculated by the similar PCGFs comparison from the previous frame and current frame. The background PCGFs of the object are removed by four directions feature scanning and dynamic threshold comparison, which improve the performance accuracy. In the terms of speed execution, the proposed algorithm accomplished 32.5 frames per second (FPS) on the x64 CPU platform without a GPU accelerator and 17 FPS in Raspberry Pi 4. Therefore, this work could be considered as a good solution for achieving a low computational complexity PCGF algorithm on a UAV onboard embedded system to improve flight times.

scholarly journals Fast and Economical Object Tracking using Raspberry Pi 3.0

2019 ◽  
Vol 8 (6S) ◽  
pp. 336-338
Keyword(s):  
Computer Vision ◽  
Power Consumption ◽  
Low Power ◽  
Object Detection ◽  
Object Tracking ◽  
Tracking System ◽  
Low Power Consumption ◽  
Raspberry Pi ◽  
Multiple Object Detection ◽  
Vision Application

This paper proposes a way to construct a financially cheap and fast object tracking using Raspberry Pi3. Multiple object detection is an important step in any computer vision application. Since the number of cameras included is more these gadgets are compelled by expense per hub, control utilization and handling power. We propose a tracking system with low power consumption. The framework is completely designed with python and OpenCV. The tracking quality and accuracy is measured using publicly available datasets.

scholarly journals Rancang Bangun Tracker Surya Sumbu Ganda Berbasis Raspberry Pi

2019 ◽  
Vol 4 (1) ◽  
pp. 82
Author(s):  
M Permadi Yosa Nugraha ◽  
Abdul Rakhman ◽  
Irma Salamah
Keyword(s):  
Renewable Energy ◽  
Rural Areas ◽  
High Speed ◽  
Tracking System ◽  
Energy Resources ◽  
Raspberry Pi ◽  
Solar Panels ◽  
Renewable Energy Resources ◽  
Initial Cost ◽  
Important Means

Solar energy is now a very important means of renewable energy resources. With sun tracking, it is more effective to produce more energy because solar panels can maintain a profile perpendicular to sunlight. Although the initial cost of setting up a tracking system is quite high, there are cheaper options that have been proposed from time to time. Light Dependent Resistors (LDRs) are used to detect sunlight. The solar panel is positioned where it can receive maximum light. Compared to other motors, servo motors are able to maintain torque at high speed. The tracker is in the form of a double or single axis. Dual trackers are more efficient because they track sunlight from both axes. This project is designed for low power and portable applications. Therefore, it is suitable for use in rural areas. In addition, the effectiveness of the output power collected by sunlight increases.

scholarly journals Microbial and Molecular Screening of Swimmers Associated with Conjunctivitis from Public Swimming Pools in Erbil Province

2020 ◽  
Vol 31 (4) ◽  
pp. 36
Author(s):  
Sazan Q. Maulud ◽  
Lawin A. Omar ◽  
Ahmed Nawzad Hassan ◽  
Rastee H. Saeed
Keyword(s):  
Bacterial Infection ◽  
Viral Infection ◽  
Bacterial Infections ◽  
Signs And Symptoms ◽  
Swimming Pool ◽  
Infection Frequency ◽  
Swimming Pools ◽  
Microbial Infection ◽  
Safe Place ◽  
Microbial Agents

Public swimming pools, if not treated well could work as a reservoir of many microorganisms that cause infections among swimmers. Conjunctivitis is one of those common infections that resulted from microbial and non-microbial agents, microbial conjunctivitis caused by viral (mainly Human adenovirus HAdVs) and bacterial infections. This study aims to investigate the prevalence of microbial causative agents of swimming pool conjunctivitis and evaluating the swimming pools in terms of health and the extent of contamination in Erbil province. Eighty-eight specimens were isolated and identified from the swimmers showing signs and symptoms of swimming pool conjunctivitis from different public swimming pools in Erbil city from January to the end of February 2020. Sample identified using bacteriological methods, serology test, and nested PCR for detection of HAdVs. The swimmers samples consisted of 60 males and 28 females, and they were aged between 16-56 years. The obtained results showed that, out of 88 samples, 36 (40.91%) detected as a viral infection and 29 (32.95%) as bacterial infection, while, 23 (26.13%) showed no growth (non-microbial infection). Frequency of swimming pool conjunctivitis among male and female was 60 (68.2%) and 28 (31.8%) respectively. Depending on the obtained results, it can be concluded that conjunctivitis could result from viral, bacterial, and non-microbial agents, a viral infection is the main cause followed by a bacterial infection, also public swimming pools are not a safe place and swimmers are subjected to infection by different pathogens.

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