Search results for "ralcam OR 360 OR degree OR endoscope OR camera"

YDLIDAR X4PRO is a 360 degrees two-dimensional rangefinder. Based on the principle of triangulation, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-accuracy distance measurement. The mechanical structure rotates 360 degrees to continuously output the angle information as well as the point cloud data of the scanning environment while ranging. Features 360 degrees omnidirectional scanning ranging distance measurement Small distance error, stable performance and high accuracy Wide ranging distance Strong resistance to ambient light interference Low power consumption, small size and long service life Laser power meets Class I laser safety standards Adjustable motor speed, scanning frequency is 6~12 Hz High-speed ranging, ranging frequency up to 5 kHz Applications Robot navigation and obstacle avoidance Robot ROS teaching and research Regional security Environmental scanning and 3D reconstruction Navigation and obstacle avoidance of robot vacuum cleaner/ROS Learning robot Specifications Range Frequency 5000 Hz Scan Frequency 6-12 Hz Range Distance 0.12-10 m Scan Angle 360° Angle Resolution 0.43-0.85° Dimensions 110.6 x 71.1 x 52.3 mm Downloads Datasheet User Manual Development Manual SDK Tool ROS

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YDLIDAR TG15 is a 360-degree two-dimensional rangefinder. Based on the principle of TOF, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high-precision distance measurement. The mechanical structure rotates 360 degrees to continuously output the angle information as well as the point cloud data of the scanning environment while ranging. Features 360 degree omnidirectional scanning ranging distance measurement Small distance error, stable performance and high accuracy IP65 protection level Strong resistance to ambient light interference Industrial grade brush-less motor drive for stable performance Laser power meets Class I laser safety standards 5-12 Hz adaptive scanning frequency (support customization) Photomagnetic fusion technology to achieve wireless communication, wireless power supply Ranging frequency up to 20 kHz (support customization) Applications Robot navigation and obstacle avoidance Industrial automation Robot ROS teaching and research Regional security Smart transportation Environmental scanning and 3D reconstruction Commercial robot /Robot vacuum cleaner Downloads Datasheet User Manual Development Manual SDK Tool ROS

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After power on, YDLIDAR G4 start rotating and scanning the environment around it. The scanning distance is 16 m and the device offers a scanning rate of 9,000 times per second. It makes detailed examinations of its environment and can locate the smallest of objects surrounding it. Featuring a high-precision brushless motor and encoder disc mounted on bearings, it rotates smoothly and has a service life of up to 500,000 hours of operation. The G4 is an inexpensive solution for projects that require obstacle detection, obstacle avoidance, and/or simultaneous localization and mapping (SLAM). All YDLIDAR products are ROS ready. Features 360 degree 2D range scanning Stable performance, high precision 16 m range Strong resistance to environmental light interference Brushless motor drive, stable performance FDA Laser safety standard Class I 360 degree omnidirectional scanning, 5-12 Hz adaptive scanning frequency OptoMagnetic technology Wireless data communication Scanning rate of 9000 Hz Downloads Datasheet User Manual Development Manual SDK Tool ROS

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Is your house haunted? Or, rather, are you convinced that your house is haunted but have never been able to prove it since you've never had a camera that integrated with your Raspberry Pi Zero but was still small enough that the ghosts wouldn't notice it? Luckily, the spy camera for Raspberry Pi Zero is smaller than a thumbnail with a high enough resolution to see people, ghosts, or whatever it is you're looking for. It's about the size of a cell phone camera – the module being just 8.6 x 8.6 mm – with only a 2' cable, so you can create an extra compact and sneaky little spy cam. It has a 160-degree focal angle for a very wide/distorted fisheye effect that's great for security systems or watching a big swath of the living room or roadway. Like the Raspberry Pi camera board, it attaches to your Raspberry Pi Zero v1.3 or Zero W by way of the small socket on the board's edge closest to the 'PWR in' port. This interface uses the dedicated CSI interface, which was designed especially for interfacing to cameras. The CSI bus is capable of extremely high data rates, and it exclusively carries pixel data. The camera is connected to the BCM2835 processor on the RPi via the CSI bus, a higher bandwidth link which carries pixel data from the camera back to the processor. This bus travels along the ribbon cable that attaches the camera board to the Pi. The ribbon cables are compatible with both the RPi Zero v1.3 and RPi Zero W. The sensor itself has a native resolution of 5 megapixels and has a fixed focus lens onboard. It has similar specs as the original RPi camera, but is not as high-res as the new RPi camera v2! Specifications Camera Module Dimensions: 8.6 x 8.6 mm Lens Diameter: 10 mm Total Length: 60 mm Lens Focal Angle: 160 degrees Weight: 1.9 g

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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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Features Simple slide angle adjustment Camera Module protection 'sandwich' plates Made from crystal clear laser-cut acrylic in the UK 1/4 inch hole for tripod mounting Stable 4-leg base Here you can find the Assembly Instructions.

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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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OV7740 is a AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with a dual-core 64bit RISC-V CPU and state-of-art neural network processor. 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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