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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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This camera module adopts a SmartSens SC3336 sensor chip with 3 MP resolution. It features high sensitivity, high SNR, and low light performance and it is capable of a more delicate and vivid night vision imaging effect, and can better adapt to ambient light changes. Also, it is compatible with Luckfox Pico series boards. Specifications Sensor Sensor: SC3336 CMOS size: 1/2.8" Pixels: 3 MP Static resolution: 2304x1296 Maximum video frame rate: 30fps Shutter: Rolling shutter Lens Focal length: 3.95 mm Aperture: F2.0 FOV: 98.3° (diagonal) Distortion: <33% Focusing: Manual focus Downloads Wiki

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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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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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Features Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) Dual Independent Double Precision FPU 8MiB 64bit width On-Chip SRAM Neural Network Processor(KPU) / 0.8Tops Field-Programmable IO Array (FPIOA) AES, SHA256 Accelerator Direct Memory Access Controller (DMAC) Micropython Support Firmware encryption support On-board Hardware: Flash: 16M Camera :OV7740 2x Buttons Status Indicator LED External storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Applications Face recognition/detection Object detection/classification Obtain the size and coordinates of the target in real-time Obtain the type of detected target in real-time Shape recognition Video recorder Included 1x UNIT-V(include 20cm 4P cable and USB-C cable)

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THSER102 is a plug-and-play cable extension kit for Raspberry Pi Camera Modules. The kit is compatible with Raspberry Pi Camera Module 3, in addition to Camera V2 (version 2.1), HQ/Global Shutter Camera, and defined modes of the Raspberry Pi Camera Module V1.3. The THSER102 extends the cable length for >10 meters between the Raspberry Pi Camera Module and the Computer with a standard LAN Cable. There is no need for software or coding. THSER102 works as if the Raspberry Pi Camera were directly connected to the computer. The THSER102 also supports advanced applications. HAT on HAT support allows to use another HAT board on top of THSER102 Rx Board. 3ch GPIO Extension allows extending GPIO communication between the camera location and the computer. Features Supporting all Raspberry Pi Camera Modules including Camera Module 3 >10-meter Cable Extension Plug and Play No software configuration is needed. Camera works as if THSER102 not exists. Advanced Applications Supported HAT on HAT 3ch GPIO Extension Included 1x Tx Board 1x Rx Board 1x LAN Cable (2 m) 2x Flat Flex Cables 1x Pin Header 6x Mounting Screws for Rx Board 3x Longer Spacers for Rx Board 4x Mounting screws for Tx Board (for Camera V2 only) 4x Shorter Spacers for Tx Board (for Camera V2 only) 4x Mounting Nuts for Tx Board (for Camera V2 only) Downloads Datasheet

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Spookt het in je huis? Of, beter gezegd, ben je ervan overtuigd dat het spookt in je huis, maar heb je het nooit kunnen bewijzen omdat je nooit een camera hebt gehad die geïntegreerd is met je Raspberry Pi Zero, maar toch klein genoeg is om de spoken niet op te merken?Gelukkig is de spionagecamera voor Raspberry Pi Zero kleiner dan een duimnagel met een resolutie die hoog genoeg is om mensen, geesten, of wat het ook is dat je zoekt, te zien. Hij is ongeveer zo groot als een mobiele telefooncamera - de module is slechts 8,6 x 8,6 mm - met slechts een 2' kabel, zodat je een extra compacte en geniepige kleine spioncamera kunt maken. Hij heeft een openingshoek van 160 graden voor een zeer breed/vervormd fisheye effect dat geweldig is voor beveiligingssystemen of om een groot deel van de woonkamer of de weg te bekijken..Net als het Raspberry Pi cameraboard wordt het op je Raspberry Pi Zero v1.3 of Zero W aangesloten via de kleine aansluiting op de rand van het board dicht bij de 'PWR in' aansluiting. Deze interface maakt gebruik van de speciale CSI interface, die speciaal is ontworpen voor interfacing met camera's. De CSI bus kan extreem hoge datasnelheden aan, en transporteert uitsluitend pixelgegevens.De camera is verbonden met de BCM2835 processor op de RPi via de CSI bus, een verbinding met hogere bandbreedte die pixelgegevens van de camera terugvoert naar de processor. Deze bus loopt via de lintkabel waarmee het cameraboard aan de Pi is bevestigd. De lintkabels zijn compatibel met zowel de RPi Zero v1.3 als de RPi Zero W.De sensor zelf heeft een native resolutie van 5 megapixels en heeft een lens met vaste focus aan boord. Hij heeft vergelijkbare specificaties als de originele RPi camera, maar is niet zo high-res als de nieuwe RPi camera v2!Specificaties Afmetingen cameramodule: 8,6 x 8,6 mm Diameter lens: 10 mm Totale lengte: 60 mm Openingshoek lens: 160 graden Gewicht: 1,9 g

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De M12-mountlens (12 MP, 8 mm) is ideaal voor gebruik met de Raspberry Pi HQ Cameramodule en levert scherpe, gedetailleerde beelden voor uiteenlopende toepassingen.

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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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