語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Sensor projects with Raspberry Piint...
~
Guillen, Guillermo.
Sensor projects with Raspberry Piinternet of things and digital image processing /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Sensor projects with Raspberry Piby Guillermo Guillen.
其他題名:
internet of things and digital image processing /
作者:
Guillen, Guillermo.
出版者:
Berkeley, CA :Apress :2024.
面頁冊數:
xviii, 241 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Raspberry Pi (Computer)
電子資源:
https://doi.org/10.1007/979-8-8688-0464-9
ISBN:
9798868804649$q(electronic bk.)
Sensor projects with Raspberry Piinternet of things and digital image processing /
Guillen, Guillermo.
Sensor projects with Raspberry Pi
internet of things and digital image processing /[electronic resource] :by Guillermo Guillen. - Second edition. - Berkeley, CA :Apress :2024. - xviii, 241 p. :ill., digital ;24 cm. - Maker innovations series,2948-2550. - Maker innovations series..
Chapter 1. Theoretical Fundamentals -- Chapter 2. Alarm System -- Chapter 3. Gas Leak Alarm -- Chapter 4. Weather Station -- Chapter 5. Digital Image Processing with Python and OpenCV. - Chapter 6. Animations With Python And Pygame -- Chapter 7 -- Homemade Spectrometer -- Chapter 8 -- Object Classification Using Edge Impulse on Raspberry Pi.
Use Python to develop Rasperry Pi projects to solve common digital image processing and IoT problems. Using a free IoT server you'll tackle fundamental topics and concepts behind theses two areas. This second edition includes new content on Artificial Intelligence and updated sensor guidance to help you better explore virtual animations, create a homemade spectrometer, and master object classification with Edge Impulse. Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. You'll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system! Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. 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 gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well.
ISBN: 9798868804649$q(electronic bk.)
Standard No.: 10.1007/979-8-8688-0464-9doiSubjects--Topical Terms:
670784
Raspberry Pi (Computer)
LC Class. No.: QA76.8.R15 / G85 2024
Dewey Class. No.: 004.165
Sensor projects with Raspberry Piinternet of things and digital image processing /
LDR
:03245nmm a22003615a 4500
001
668324
003
DE-He213
005
20240810124746.0
006
m d
007
cr nn 008maaau
008
250107s2024 cau s 0 eng d
020
$a
9798868804649$q(electronic bk.)
020
$a
9798868804632$q(paper)
024
7
$a
10.1007/979-8-8688-0464-9
$2
doi
035
$a
979-8-8688-0464-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.8.R15
$b
G85 2024
072
7
$a
UB
$2
bicssc
072
7
$a
COM067000
$2
bisacsh
072
7
$a
UBM
$2
thema
082
0 4
$a
004.165
$2
23
090
$a
QA76.8.R15
$b
G958 2024
100
1
$a
Guillen, Guillermo.
$3
857031
245
1 0
$a
Sensor projects with Raspberry Pi
$h
[electronic resource] :
$b
internet of things and digital image processing /
$c
by Guillermo Guillen.
250
$a
Second edition.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2024.
300
$a
xviii, 241 p. :
$b
ill., digital ;
$c
24 cm.
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Maker innovations series,
$x
2948-2550
505
0
$a
Chapter 1. Theoretical Fundamentals -- Chapter 2. Alarm System -- Chapter 3. Gas Leak Alarm -- Chapter 4. Weather Station -- Chapter 5. Digital Image Processing with Python and OpenCV. - Chapter 6. Animations With Python And Pygame -- Chapter 7 -- Homemade Spectrometer -- Chapter 8 -- Object Classification Using Edge Impulse on Raspberry Pi.
520
$a
Use Python to develop Rasperry Pi projects to solve common digital image processing and IoT problems. Using a free IoT server you'll tackle fundamental topics and concepts behind theses two areas. This second edition includes new content on Artificial Intelligence and updated sensor guidance to help you better explore virtual animations, create a homemade spectrometer, and master object classification with Edge Impulse. Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. You'll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system! Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. 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 gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well.
650
0
$a
Raspberry Pi (Computer)
$3
670784
650
0
$a
Python (Computer program language)
$3
215247
650
0
$a
Detectors.
$3
197808
650
0
$a
Internet of things.
$3
670954
650
1 4
$a
Maker.
$3
913111
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Maker innovations series.
$3
956498
856
4 0
$u
https://doi.org/10.1007/979-8-8688-0464-9
950
$a
Professional and Applied Computing (SpringerNature-12059)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000245577
電子館藏
1圖書
電子書
EB QA76.8.R15 G958 2024 2024
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/979-8-8688-0464-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入