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39 Experiments with Raspberry Pi and Arduino This book is about Raspberry Pi 3 and Arduino camera projects. The book explains in simple terms and with tested and working example projects, how to configure and use a Raspberry Pi camera and USB based webcam in camera-based projects using a Raspberry Pi. Example projects are given to capture images, create timelapse photography, record video, use the camera and Raspberry Pi in security and surveillance applications, post images to Twitter, record wildlife, stream live video to YouTube, use a night camera, send pictures to smartphones, face and eye detection, colour and shape recognition, number plate recognition, barcode recognition and many more. Installation and use of popular image processing libraries and software including OpenCV, SimpleCV, and OpenALPR are explained in detail using a Raspberry Pi. The book also explains in detail how to use a camera on an Arduino development board to capture images and then save them on a microSD card. All projects given in this book have been fully tested and are working. Program listings for all Raspberry Pi and Arduino projects used in this book are available for download on the Elektor website.

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Computer vision is probably the most exciting branch of image processing, and the number of applications in robotics, automation technology and quality control is constantly increasing. Unfortunately entering this research area is, as yet, not simple. Those who are interested must first go through a lot of books, publications and software libraries. With this book, however, the first step is easy. The theoretically founded content is understandable and is supplemented by many practical examples. Source code is provided with the specially developed platform-independent open source library IVT in the programming language C/C++. The use of the IVT is not necessary, but it does make for a much easier entry and allows first developments to be quickly produced. The authorship is made up of research assistants of the chair of Professor Ruediger Dillmann at the Institut für Technische Informatik (ITEC), Universitaet Karlsruhe (TH). Having gained extensive experience in image processing in many research and industrial projects, they are now passing this knowledge on. Among other subjects, the following are dealt with in the fundamentals section of the book: Lighting, optics, camera technology, transfer standards, camera calibration, image enhancement, segmentation, filters, correlation and stereo vision. The practical section provides the efficient implementation of the algorithms, followed by many interesting applications such as interior surveillance, bar code scanning, object recognition, 3-D scanning, 3-D tracking, a stereo camera system and much more.

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

Lees (+) (–)

Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

Lees (+) (–)

Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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High-quality ABS construction Removable side panels and lid for easy access to GPIO, camera and display connectors Light pipes for power and activity LEDs Extraordinarily handsome Colour: white/red

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De SEQURE HT140 is een zeer veelzijdige 2-in-1 soldeerbout die de functionaliteit van een hete pincet en een soldeerbout combineert. Hij is speciaal ontworpen voor nauwkeurig SMD-soldeer- en desoldeerwerk. Met onafhankelijke regeling voor enkelzijdige verhitting werkt hij als een traditionele soldeerbout wanneer hij is uitgerust met een standaardpunt. Wanneer hij is geconfigureerd voor dubbelzijdige verhitting, transformeert hij in een hete pincet – perfect voor het efficiënt en nauwkeurig verwijderen van SMD-componenten. Kenmerken Werktemperatuur: 50-500°C Ondersteunt meerdere voedingsingangen: PD 3.1/3.0/2.0, QC 3.0/2.0, (5-28 V DC), LiPo-batterijen en stroomadapters. De HT140 combineert een soldeerpincet met een soldeerbout, met onafhankelijke enkel- of dubbelzijdige verwarming. Gebruik hem als soldeerbout met een punt, of als soldeerpincet voor eenvoudig desolderen van SMD. Spanning en stroomsterkte kunnen worden aangepast op basis van de stroombron. Beschikt over dubbele temperatuurregeling, voorinstellingen, snelle temperatuurverhoging en fijnafstelling. 128 x 32 OLED-scherm met instelbare helderheid en oriëntatie. Hoognauwkeurig verwarmingselement met een nauwkeurigheid van ±1%. Smelt soldeer in slechts 2 seconden. Slimme stand-by-, slaap- en wekfuncties verlengen de levensduur van de punt en verhogen de efficiëntie. Ondersteunt temperatuurkalibratie en -compensatie voor nauwkeurig werk. Inclusief een hittebestendige PD 150 W siliconenkabel van 1,5 m en een stevig, volledig metalen HT-station. Verwisselbare punten en verstelbare hoeken voor diverse SMD-soldeertaken. Specificaties Werkspanning 5-28 V DC Maximaal vermogen 140 W Werktemperatuur 50-500°C Smelttijd tin 2 s Interfacetype USB-C, DC5525 Voeding PD 3.1/3.0/2.0, QC 3.0/2.0, 28 V DC max Display 128 x 32 OLED Firmware-upgrade Ja Menutalen Engels, Russisch, Chinees Afmetingen 160 x 27 x 17,5 mm Gewicht 50 g Inbegrepen 1x SEQURE HT140 Host 2x HT140-IS Conisch gebogen desoldeerstiften 1x HT Station 1x Accessoirepakket 1x Opbergtas 1x 65 W PD Voeding (EU, VK & VS) 1x 24 W PD Siliconen Draad (1,5 m) 1x GND Draad Accessoire Kit (1,8 m)

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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