03861nam a22004935i 4500 979-8-8688-0464-9 DE-He213 20251030112848.0 cr nn 008mamaa 240810s2024 xxu| s |||| 0|eng d 9798868804649 979-8-8688-0464-9 10.1007/979-8-8688-0464-9 doi TS171.57 UB bicssc COM067000 bisacsh UBM thema Guillen, Guillermo. author. aut http://id.loc.gov/vocabulary/relators/aut 82192 Sensor Projects with Raspberry Pi [electronic resource] : Internet of Things and Digital Image Processing / by Guillermo Guillen. 2nd ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XVIII, 241 p. 168 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Maker Innovations Series, 2948-2550 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. . Makerspaces. 68064 Maker. 68065 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868804632 Printed edition: 9798868804656 Printed edition: 9798868810855 Maker Innovations Series, 2948-2550 68066 https://doi.org/10.1007/979-8-8688-0464-9 ZDB-2-CWD ZDB-2-SXPC 62387 62387