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دانلود کتاب Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing
دانلود کتاب پروژه های حسگر با Raspberry Pi: اینترنت اشیا و پردازش تصویر دیجیتال
مشخصات کتاب
Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing
ویرایش: 1
نویسندگان: Guillermo Guillen
سری:
ISBN (شابک) : 1484252985, 9781484252987
ناشر: Apress
سال نشر: 2019
تعداد صفحات: 169
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 7 مگابایت
قیمت کتاب (تومان) : 35,000
در صورت تبدیل فایل کتاب Sensor Projects with Raspberry Pi: Internet of Things and Digital Image Processing به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پروژه های حسگر با Raspberry Pi: اینترنت اشیا و پردازش تصویر دیجیتال نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
توضیحاتی در مورد کتاب پروژه های حسگر با Raspberry Pi: اینترنت اشیا و پردازش تصویر دیجیتال
حل مسائل جهان را با شروع کوچک با پروژه های ساده Rasperry Pi
شروع کنید. استفاده از سرور رایگان اینترنت اشیا؛ به موضوعات و
مفاهیم اساسی در پس اینترنت اشیا بپردازد. موضوعات پردازش تصویر و
حسگر فقط برای Raspberry Pi قابل اجرا نیستند. مهارت های آموخته
شده در این کتاب می تواند به برنامه های دیگر در توسعه موبایل و
مهندسی برق برسد.
توضیحاتی درمورد کتاب به خارجی
Start solving world issues by beginning small with simple
Rasperry Pi projects. Using a free IoT server; tackle
fundamental topics and concepts behind the Internet of Things.
Image processing and sensor topics arent only applicable to
the Raspberry Pi. The skills learned in this book can go own to
other applications in mobile development and electrical
engineering.
Start by creating a system to detect movement through the use of a PIR motion sensor and a Raspberry Pi board. Then further your sensor systems by detecting more than simple motion. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Train your system to send the captured data to the remote server ThingSpeak. When a gas increase is detected beyond a limit, then a message is sent to your Twitter account.
Having started with ThingSpeak, well go on to develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP085 (barometric pressure and temperature sensor) in conjunction with ThingSpeak and Twitter, you can receive realtime weather alerts from your own meterological system!
Finally, expand your skills into the popular machine learning world of digital image processing using OpenCV and a Pi. Make your own object classifiers and finally manipulate an object by means of an image in movement. This skillset has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.
With the skills developed in this book, you will have everything you need to work in IoT projects for the Pi. You can then expand your skills out further to develop mobile projects and delve into interactive systems such as those found in machine learning.
What You'll Learn
- Work with ThingSpeak to receive Twitter alerts from
your systems
- Cultivate skills in processing sensor inputs that are
applicable to mobile and machine learning projects as
well
- Incorporate sensors into projects to make devices that
interact with more than just code
Who This Book Is For
Hobbyists and makers working robotics and Internet of Things
areas will find this book a great resource for quick but
expandable projects. Electronics engineers and programmers
who would like to expand their familiarity with basic sensor
projects will also find this book helpful.
فهرست مطالب
Table of Contents About the Author About the Technical Reviewer Acknowledgments Introduction Chapter 1: Theoretical Fundamentals Programming with the Raspberry Pi Elements of the Language Variables and Constants Variables Constants Types of Data Arithmetic Operators Comments Complex Data Types Tuples Lists Dictionaries Flow Control Structures Indentation Encoding Multiple Assignments Conditional Flow Control Structures Iterative Control Structures While Loop For Loop Important Differences Between Python 2.7.x and Python 3.x Print Function Python 3.x Output Division Operator Python 3.x Output Unicode Python 3.x xrange Output in Python 3.x __future__ module Output Internet of Things History Smart Home Applications Elder Care Applications Medical and Healthcare Applications Transportation Applications Building and Home Automation Applications Manufacturing Applications Agriculture Applications Metropolitan-Scale Deployments Energy Management Applications Environmental Monitoring Applications Living Lab Application IoT Security What’s the Difference Between OT and IoT? Digital Image Processing History Tasks Classification Feature Extraction Multiscale Signal Analysis Pattern Recognition Projection Techniques Image Editing Image Restoration Neural Networks Filtering Convolution Applications Digital Camera Images Film Summary Chapter 2: Alarm System Hardware Software Procedure Creating a Project in ThingSpeak Using Your Twitter Account in ThingSpeak Sending an Alert to Your Twitter Account Challenges Conclusion Chapter 3: Gas Leak Alarm Hardware Software Procedure Installing the ADS1115 Sensor Library Enabling the 12C Interface Creating a Project in ThingSpeak Using Your Twitter Account in ThingSpeak Sending an Alert to Your Twitter Account Challenges Conclusion Chapter 4: Weather Station Hardware Software Procedure Installing the DHT11 Sensor Library Installing the BMP085 Sensor Library Enabling the 12C Interface Creating a Project in ThingSpeak Using Your Twitter Account in ThingSpeak Sending an Alert to Your Twitter Account Challenges Conclusion Chapter 5: Digital Image Processing with Python and OpenCV Installing the Software Step 1: Installing Python 2.7 and 3 Step 2: Installing Dependencies Step 3: Getting the Latest OpenCV Source Code Step 4: Installing pip and virtualenv Step 5: Creating a Virtual Environment Step 6: Installing Numpy and Scipy Step 7: Installing OpenCV Step 8: Testing the OpenCV Installation Classifiers Step 1: Collecting Images for a Database Step 2: Arranging the Negative Images Step 3: Cropping and Marking Positive Images Step 4: Creating a Vector of Positive Images Step 5: Haar Training Step 6: Creating the XML File Testing with Images Testing with Videos Moving a Robot Arm Software Challenges Conclusion Appendix: Hardware Specifications Raspberry Pi 3B Technical Specifications Raspberry Pi Zero W PIR Motion Sensor Advantages Specifications MQ2 Gas Sensor Characteristics Applications ADS1115 Features Applications BMP085 Pressure Sensor Description Technical Details DHT11 Humidity Sensor Features and Applications Description Technical Specifications Index
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