scholarly journals TrackInk: An IoT-Enabled Real-Time Object Tracking System in Space

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 608
Author(s):  
Cameron Aume ◽  
Keith Andrews ◽  
Shantanu Pal ◽  
Alice James ◽  
Avishkar Seth ◽  
...  
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Tracking System ◽  
Space Station ◽  
Geographical Location ◽  
Physical World ◽  
Smart Devices ◽  
The Internet ◽  
Distributed Data ◽  
Resource Limited

Nowadays, there is tremendous growth in the Internet of Things (IoT) applications in our everyday lives. The proliferation of smart devices, sensors technology, and the Internet makes it possible to communicate between the digital and physical world seamlessly for distributed data collection, communication, and processing of several applications dynamically. However, it is a challenging task to monitor and track objects in real-time due to the distinct characteristics of the IoT system, e.g., scalability, mobility, and resource-limited nature of the devices. In this paper, we address the significant issue of IoT object tracking in real time. We propose a system called ‘TrackInk’ to demonstrate our idea. TrackInk will be capable of pointing toward and taking pictures of visible satellites in the night sky, including but not limited to the International Space Station (ISS) or the moon. Data will be collected from sensors to determine the system’s geographical location along with its 3D orientation, allowing for the system to be moved. Additionally, TrackInk will communicate with and send data to ThingSpeak for further cloud-based systems and data analysis. Our proposed system is lightweight, highly scalable, and performs efficiently in a resource-limited environment. We discuss a detailed system’s architecture and show the performance results using a real-world hardware-based experimental setup.

A real-time visual object tracking system based on Kalman filter and MB-LBP feature matching

2014 ◽  
Vol 75 (4) ◽  
pp. 2393-2409 ◽  
Author(s):  
Zebin Cai ◽  
Zhenghui Gu ◽  
Zhu Liang Yu ◽  
Hao Liu ◽  
Ke Zhang
Keyword(s):  
Kalman Filter ◽  
Object Tracking ◽  
Real Time ◽  
Feature Matching ◽  
Tracking System ◽  
Visual Object ◽  
Visual Object Tracking

scholarly journals Real-time object tracking system based on field-programmable gate array and convolution neural network

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Congyi Lyu ◽  
Haoyao Chen ◽  
Xin Jiang ◽  
Peng Li ◽  
Yunhui Liu
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Object Tracking ◽  
Real Time ◽  
Field Programmable Gate Array ◽  
Tracking System ◽  
Convolution Neural Network ◽  
Processing Unit ◽  
Field Programmable ◽  
Gate Array

Vision-based object tracking has lots of applications in robotics, like surveillance, navigation, motion capturing, and so on. However, the existing object tracking systems still suffer from the challenging problem of high computation consumption in the image processing algorithms. The problem can prevent current systems from being used in many robotic applications which have limitations of payload and power, for example, micro air vehicles. In these applications, the central processing unit- or graphics processing unit-based computers are not good choices due to the high weight and power consumption. To address the problem, this article proposed a real-time object tracking system based on field-programmable gate array, convolution neural network, and visual servo technology. The time-consuming image processing algorithms, such as distortion correction, color space convertor, and Sobel edge, Harris corner features detector, and convolution neural network were redesigned using the programmable gates in field-programmable gate array. Based on the field-programmable gate array-based image processing, an image-based visual servo controller was designed to drive a two degree of freedom manipulator to track the target in real time. Finally, experiments on the proposed system were performed to illustrate the effectiveness of the real-time object tracking system.

Real-Time Object Tracking System on FPGAs

2011 ◽  
Author(s):  
Su Liu ◽  
Alexandros Papakonstantinou ◽  
Hongjun Wang ◽  
Deming Chen
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Tracking System

Internet of Things Testing Framework, Automation, Challenges, Solutions and Practices

2019 ◽  
pp. 87-124
Author(s):  
Karthick G. S. ◽  
Pankajavalli P. B.
Keyword(s):  
Internet Of Things ◽  
Physical World ◽  
Smart Devices ◽  
The Internet ◽  
Testing Framework ◽  
The Core ◽  
Iot Applications ◽  
Core Components ◽  
Device Classification ◽  
The Internet Of Things

The internet of things (IoT) is aimed at modifying the life of people by adopting the possible computing techniques to the physical world, and thus transforming the computing environment from centralized form to decentralized form. Most of the smart devices receive the data from other smart devices over the network and perform actions based on their implemented programs. Thus, testing becomes an intensive process in the IoT that will require some normalization too. The composite architecture of IoT systems and their distinctive characteristics require different variants of testing to be done on the components of IoT systems. This chapter will discuss the necessity for IoT testing in terms of various criteria of identifying and fixing the problems in the IoT systems. In addition, this chapter examines the core components to be focused on IoT testing and testing scope based on IoT device classification. It also elaborates the various types of testing applied on healthcare IoT applications, and finally, this chapter summarizes the various challenges faced during IoT testing.

Internet of Things Testing Framework, Automation, Challenges, Solutions and Practices

2022 ◽  
pp. 571-601
Author(s):  
Karthick G. S. ◽  
Pankajavalli P. B.
Keyword(s):  
Internet Of Things ◽  
Physical World ◽  
Smart Devices ◽  
The Internet ◽  
Testing Framework ◽  
The Core ◽  
Iot Applications ◽  
Core Components ◽  
Device Classification ◽  
The Internet Of Things

The internet of things (IoT) is aimed at modifying the life of people by adopting the possible computing techniques to the physical world, and thus transforming the computing environment from centralized form to decentralized form. Most of the smart devices receive the data from other smart devices over the network and perform actions based on their implemented programs. Thus, testing becomes an intensive process in the IoT that will require some normalization too. The composite architecture of IoT systems and their distinctive characteristics require different variants of testing to be done on the components of IoT systems. This chapter will discuss the necessity for IoT testing in terms of various criteria of identifying and fixing the problems in the IoT systems. In addition, this chapter examines the core components to be focused on IoT testing and testing scope based on IoT device classification. It also elaborates the various types of testing applied on healthcare IoT applications, and finally, this chapter summarizes the various challenges faced during IoT testing.

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