Object Tracking Implementation On Fpga Platform Using Cmos Camera And Servo Motors
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Object Tracking Implementation On Fpga Platform Using Cmos Camera And Servo Motors
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Author : FNU Hardik
language : en
Publisher:
Release Date : 2022
Object Tracking Implementation On Fpga Platform Using Cmos Camera And Servo Motors written by FNU Hardik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Object Tracking using Computer Vision has been a highly discussed topic within the AI and ML community for a while now, but most hardware real-time applications within this realm have long been reliant on having either high-speed dedicated sequential processors for processing the huge amount of calculations necessary or a real-time embedded processor setup which can work faster than traditional sequential processors but still have some of their limitations. Ideally for a real-time application we want our system to have as much parallel signal processing capability as possible. Hence, to leverage the much faster signal processing capability this project adopts a Verilog based HDL implementation on the Zedboard FPGA platform. This project proposes a low-cost design for real-time object tracking implementation on the Zedboard FPGA. The algorithm used to achieve this implementation works in a parallel processing configuration for minimum latency and uses thresholding techniques to detect color and geometric centroid calculations to track positions for objects of interest. The project is extended and implemented on a pan/tilt mechanical module having positional servo motors to control X and Y directional movement that will serve as a mount for the CMOS OV7670 Pmod Camera for complete real time object tracking. This project has potential in computer vision related applications. The hardware design files made using Verilog for this project are implemented using Vivado IDE provided by Xilinx.
Implementation Of Object Tracking Algorithm On Zynq Platform Using High Level Synthesis
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Author : Uzaif Sharif
language : en
Publisher:
Release Date : 2018
Implementation Of Object Tracking Algorithm On Zynq Platform Using High Level Synthesis written by Uzaif Sharif and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Video and Image processing have thousands of applications ranging from smile detection in mobile phone cameras to automatic vehicle or even drones. In these applications, several applications are running on real-time videos like autonomous vehicle. In real-time scenarios, processing needs to be done as fast as possible because through video processing some control signals need to be generated. Video processing requires loads of calculation in unit time and has a massive stream of data. These factors restrict the video processing algorithms to be implemented on sequential processors. Therefore, the best approach for implementation of video processing algorithms is using hardware that is parallel unlike software running on processors. In this regard, FPGAs offer the best way for video processing algorithm because of their low-cost, less time to market and low NRE. Although, hardware implementation requires more development time and brain energy. But its performance is from 10 to 100 times faster than the software implementation. This project purposes the accelerated design for object recognition and tracking real-time implementation of ZYBO FPGA. The algorithm implemented to achieve this goal includes morphological operation and geometry based circle detection algorithm. The project is extended and implemented on a land lover robot for complete real-time tracking. This project aims to develop the artificial intelligence algorithm which would help in self-driven autonomous vehicles. This project mainly targets the industries working for artificial intelligence having the same purpose.
Robotic Computing On Fpgas
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Author : Shaoshan Liu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2021-06-30
Robotic Computing On Fpgas written by Shaoshan Liu and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Computers categories.
This book provides a thorough overview of the state-of-the-art field-programmable gate array (FPGA)-based robotic computing accelerator designs and summarizes their adopted optimized techniques. This book consists of ten chapters, delving into the details of how FPGAs have been utilized in robotic perception, localization, planning, and multi-robot collaboration tasks. In addition to individual robotic tasks, this book provides detailed descriptions of how FPGAs have been used in robotic products, including commercial autonomous vehicles and space exploration robots.
Learning Convolution Operators For Visual Tracking
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Author : Martin Danelljan
language : en
Publisher: Linköping University Electronic Press
Release Date : 2018-05-03
Learning Convolution Operators For Visual Tracking written by Martin Danelljan and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with categories.
Visual tracking is one of the fundamental problems in computer vision. Its numerous applications include robotics, autonomous driving, augmented reality and 3D reconstruction. In essence, visual tracking can be described as the problem of estimating the trajectory of a target in a sequence of images. The target can be any image region or object of interest. While humans excel at this task, requiring little effort to perform accurate and robust visual tracking, it has proven difficult to automate. It has therefore remained one of the most active research topics in computer vision. In its most general form, no prior knowledge about the object of interest or environment is given, except for the initial target location. This general form of tracking is known as generic visual tracking. The unconstrained nature of this problem makes it particularly difficult, yet applicable to a wider range of scenarios. As no prior knowledge is given, the tracker must learn an appearance model of the target on-the-fly. Cast as a machine learning problem, it imposes several major challenges which are addressed in this thesis. The main purpose of this thesis is the study and advancement of the, so called, Discriminative Correlation Filter (DCF) framework, as it has shown to be particularly suitable for the tracking application. By utilizing properties of the Fourier transform, a correlation filter is discriminatively learned by efficiently minimizing a least-squares objective. The resulting filter is then applied to a new image in order to estimate the target location. This thesis contributes to the advancement of the DCF methodology in several aspects. The main contribution regards the learning of the appearance model: First, the problem of updating the appearance model with new training samples is covered. Efficient update rules and numerical solvers are investigated for this task. Second, the periodic assumption induced by the circular convolution in DCF is countered by proposing a spatial regularization component. Third, an adaptive model of the training set is proposed to alleviate the impact of corrupted or mislabeled training samples. Fourth, a continuous-space formulation of the DCF is introduced, enabling the fusion of multiresolution features and sub-pixel accurate predictions. Finally, the problems of computational complexity and overfitting are addressed by investigating dimensionality reduction techniques. As a second contribution, different feature representations for tracking are investigated. A particular focus is put on the analysis of color features, which had been largely overlooked in prior tracking research. This thesis also studies the use of deep features in DCF-based tracking. While many vision problems have greatly benefited from the advent of deep learning, it has proven difficult to harvest the power of such representations for tracking. In this thesis it is shown that both shallow and deep layers contribute positively. Furthermore, the problem of fusing their complementary properties is investigated. The final major contribution of this thesis regards the prediction of the target scale. In many applications, it is essential to track the scale, or size, of the target since it is strongly related to the relative distance. A thorough analysis of how to integrate scale estimation into the DCF framework is performed. A one-dimensional scale filter is proposed, enabling efficient and accurate scale estimation.
Tinyml
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Author : Pete Warden
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-16
Tinyml written by Pete Warden and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Computers categories.
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Embedded Vision
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Author : S. R. Vijayalakshmi
language : en
Publisher:
Release Date : 2019-08-15
Embedded Vision written by S. R. Vijayalakshmi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-15 with Computers categories.
An introductory guide for anyone who is interested in designing machines that have vision-enabled, embedded products, this book covers topics encountered in hardware architecture, software algorithms, applications, advancements in processors and sensors. --
Open Source Electronics Platforms
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Author : Trung Dung Ngo
language : en
Publisher: MDPI
Release Date : 2019-05-20
Open Source Electronics Platforms written by Trung Dung Ngo and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Technology & Engineering categories.
Open-source electronics are becoming very popular, and are integrated with our daily educational and developmental activities. At present, the use open-source electronics for teaching science, technology, engineering, and mathematics (STEM) has become a global trend. Off-the-shelf embedded electronics such as Arduino- and Raspberry-compatible modules have been widely used for various applications, from do-it-yourself (DIY) to industrial projects. In addition to the growth of open-source software platforms, open-source electronics play an important role in narrowing the gap between prototyping and product development. Indeed, the technological and social impacts of open-source electronics in teaching, research, and innovation have been widely recognized.
Rapid Prototyping Of Digital Systems
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Author : James O. Hamblen
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
Rapid Prototyping Of Digital Systems written by James O. Hamblen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Technology & Engineering categories.
Rapid Prototyping of Digital Systems, Second Edition provides an exciting and challenging laboratory component for an undergraduate digital logic design class. The more advanced topics and exercises are also appropriate for consideration at schools that have an upper level course in digital logic or programmable logic. Design engineers working in industry will also want to consider this book for a rapid introduction to FPLD technology and logic synthesis using commercial CAD tools, especially if they have not had previous experience with the new and rapidly evolving technology. Two tutorials on the Altera CAD tool environment, an overview of programmable logic, and a design library with several easy-to-use input and output functions were developed for this book to help the reader get started quickly. Early design examples use schematic capture and library components. VHDL is used for more complex designs after a short introduction to VHDL-based synthesis. A coupon is included with the text for purchase of the new UP 1X board. The additional logic and memory in the UP 1X's FLEX 10K70 is useful on larger design projects such as computers and video games. The second edition includes an update chapter on programmable logic, new robot sensors and projects, optional Verilog examples, and a meta assembler which can be used to develop assemble language programs for the computer designs in Chapters 8 and 13.
Index To Ieee Publications
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Author : Institute of Electrical and Electronics Engineers
language : en
Publisher:
Release Date : 1997
Index To Ieee Publications written by Institute of Electrical and Electronics Engineers and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Electrical engineering categories.
Low Power Wearable Healthcare Sensors
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Author : R. Simon Sherratt
language : en
Publisher: MDPI
Release Date : 2020-12-29
Low Power Wearable Healthcare Sensors written by R. Simon Sherratt and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Science categories.
Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer’s health with the objective to keep the user healthy. However, the real potential of such devices not only lies in monitoring but also in interactive communication with expert-system-based cloud services to offer personalized and real-time healthcare advice that will enable the user to manage their health and, over time, to reduce expensive hospital admissions. To meet this goal, the research challenges for the next generation of wearable healthcare devices include the need to offer a wide range of sensing, computing, communication, and human–computer interaction methods, all within a tiny device with limited resources and electrical power. This Special Issue presents a collection of six papers on a wide range of research developments that highlight the specific challenges in creating the next generation of low-power wearable healthcare sensors.