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Titlebook: Sensor Projects with Raspberry Pi; Internet of Things a Guillermo Guillen Book 2024Latest edition Guillermo Guillen 2024 Internet of Things

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发表于 2025-3-21 16:26:32 | 显示全部楼层 |阅读模式
书目名称Sensor Projects with Raspberry Pi
副标题Internet of Things a
编辑Guillermo Guillen
视频video
概述Solve problems related to digital image processing and IoT systems.Detect objects, faces, smiles, and environmental changes with simple, lowcost hardware.Tweet out alerts based on the information rece
丛书名称Maker Innovations Series
图书封面Titlebook: Sensor Projects with Raspberry Pi; Internet of Things a Guillermo Guillen Book 2024Latest edition Guillermo Guillen 2024 Internet of Things
描述.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
出版日期Book 2024Latest edition
关键词Internet of Things; Weather Station; Digital Image Processing; Alarm System; Gas Leak Alarm; Raspberry Pi
版次2
doihttps://doi.org/10.1007/979-8-8688-0464-9
isbn_softcover979-8-8688-0463-2
isbn_ebook979-8-8688-0464-9Series ISSN 2948-2542 Series E-ISSN 2948-2550
issn_series 2948-2542
copyrightGuillermo Guillen 2024
The information of publication is updating

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发表于 2025-3-21 21:47:40 | 显示全部楼层
发表于 2025-3-22 04:18:23 | 显示全部楼层
Object Classification Using Edge Impulse on Raspberry Pi,. In April 2021, Edge Impulse announced their full support of the Raspberry Pi. With this feature, you now can take data, train this data on the Edge Impulse platform, and then deploy the newly trained model back to your Raspberry Pi with zero lines of code.
发表于 2025-3-22 05:19:31 | 显示全部楼层
Book 2024Latest editional 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 syst
发表于 2025-3-22 11:40:18 | 显示全部楼层
Alarm System, the Raspberry Pi board. When this happens, you will get an alert notice through a message on your Twitter/X account. In this chapter, you will work exclusively with the digital ports of the Raspberry Pi to create an Internet of Things (IoT) project.
发表于 2025-3-22 12:57:46 | 显示全部楼层
Gas Leak Alarm,send the captured data to the remote ThingSpeak server and, when a gas increase is detected beyond a programed limit, send a message to your Twitter/X account. In this project, you’ll use an analog port and the Internet of Things (IoT) ThingSpeak server.
发表于 2025-3-22 19:54:55 | 显示全部楼层
Digital Image Processing with Python and OpenCV,ide range of applications including analyzing medical images, stitching street view images, analyzing surveillance video, detecting and recognizing faces, tracking moving objects, extracting 3D models, and much more. OpenCV can take advantage of multicore processing and features of GPU acceleration
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Object Classification Using Edge Impulse on Raspberry Pi,velopers to generate machine learning–trained models in the cloud and deploy them on microcontrollers, or single-board computers like the Raspberry Pi. In April 2021, Edge Impulse announced their full support of the Raspberry Pi. With this feature, you now can take data, train this data on the Edge
发表于 2025-3-23 06:47:47 | 显示全部楼层
g of what can be achieved through the model and thus improve the situation of child victims of violence and abuse. An institutional perspective is used in the book which is structured in four parts. The first t978-3-031-53235-1978-3-031-53233-7Series ISSN 2947-9355 Series E-ISSN 2947-9363
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