Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support Libcamera, with ABS Case
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Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support Libcamera, with ABS Case
High Resolution: This camera module is equipped with high-resolution 64MP, which can capture items in detail.
Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32" 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support Libcamera, with ABS Case
Articolo #: 84625091

Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32" 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support

Articolo #: 84625091

€ 72

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Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Stati Uniti

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Stati Uniti Importato dal negozio USA

Qtà:

Ordina subito e ricevilo entro Martedì, Agosto 04
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I nostri principali partner logistici
  • fedex
  • dhl
High Resolution: This camera module is equipped with high-resolution 64MP, which can capture items in detail.
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Cosa salta all'occhio

Alta resolución
Capture stunning images with 64MP clarity, perfect for detailed projects and applications. Great for enthusiasts needing high-quality visuals in their Raspberry Pi setups.
Auto Focus
Experience seamless focus adjustments automatically, ensuring sharp images without manual intervention. Ideal for users focusing on convenience and efficiency in photography or videography.
Libcamera Support
Fully compatible with Libcamera, simplifying integration with Raspberry Pi. This feature enhances functionality, making it easier for developers to create diverse multimedia applications.

Dettagli del prodotto

Shop Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support Libcamera, with ABS Case online at a best price in San Marino. B0CQJPKFVF
Shooting ModesNight
Exposure Control TypeAutomático
ColorRojo
Video Capture Resolution6944p
Nivel de resistencia al aguaNo resistente al agua
File FormatJPEG, PNG
Tamaño de pantalla1.4 Inches (3.6 cm)
Video Capture FormatMOV
Effective Still Resolution64 MP
Dispositivos compatiblesRaspberry Pi 3/4/5
Image stabilizationDigitale
Maximum Shutter Speed900 Seconds
Focus TypeAutofocus
Autofocussi
Maximum Focal Length6.65 Millimeters
Photo Sensor TechnologyCMOS
Photo Sensor Resolution64 MP
MarcaArducam
Nombre del modeloArducam OwlSight
FabricanteArducam
Número de modelo006b4187-4ce0-46ab-9d1d-319bd2c8ad3d
Número de parte del fabricante006b4187-4ce0-46ab-9d1d-319bd2c8ad3d
Integrado de Medios1 x 15cm 15-15pin FFC, 1 x 15cm 15-22pin FPC, 1 x 64MP Camera Module
Tecnologia di connettivitàUSB
Zoom TypeDigitale
Digital Zoom10 x
Maximum Aperture2 f
Peso del artículo0,5 libbre (230 grammi)

A chi è consigliato?

Suitable For
  • Photography Enthusiasts

    Ideal for photographers seeking high-quality images with autofocus capability using Raspberry Pi for projects.

  • DIY Project Makers

    Perfect for hobbyists creating robotics or DIY camera projects utilizing the advanced features of Raspberry Pi.

  • Security System Developers

    Great for developers building surveillance systems requiring high-resolution video capture and easy integration with software.

Not Suitable For
  • Usuarios Casual

    Not suitable for users needing basic camera functionality without advanced features, which may be overly complex.

DESCRIZIONE DEL PRODOTTO

Arducam OwlSight for Raspberry Pi 5 Camera Module, 1/1.32" 64MP High Resolution Auto Focus Camera Module for Raspberry Pi 3/4/5, Native to Support Libcamera, with ABS Case

Hai qualche domanda? chatta con noi

Domande e risposte dei clienti

  • Domanda: What are the main features of the Arducam OwlSight for Raspberry Pi 5 Camera Module?

    Risposta: The Arducam OwlSight for Raspberry Pi 5 boasts an impressive 64MP high-resolution sensor with auto-focus capabilities. This functionality allows you to capture incredibly detailed images and videos, making it a superb choice for projects that require sharp visuals. Additionally, the module is designed to easily integrate with Raspberry Pi models 3, 4, and 5, offering plug-and-play compatibility. Whether you're developing a surveillance system, a wildlife monitoring project, or simply exploring photography, this camera module will elevate your creative possibilities.
  • Domanda: Is the Arducam OwlSight compatible with all Raspberry Pi models?

    Risposta: The Arducam OwlSight is natively supported on Raspberry Pi models 3, 4, and 5, ensuring smooth operation across these platforms. Its design allows seamless integration, making it user-friendly for both beginners and seasoned developers. This versatility enables users to deploy the camera in various projects, from robotics to AI applications, where high-resolution imaging is crucial. If you're using a compatible model, you'll find this camera module enhances your project capabilities significantly.
  • Domanda: What kind of projects can I use the Arducam OwlSight for?

    Risposta: The Arducam OwlSight is ideal for a wide range of projects that require high-quality imaging. You can use it for DIY security cameras, which leverage its auto-focus feature for clear detail. Additionally, it's perfect for creating wildlife observation setups, where capturing detailed photos of animals in their natural habitat is key. Moreover, developers can implement the module in robotic vision applications, enhancing autonomous navigation and environmental interaction.
  • Domanda: How does the autofocus feature work on the Arducam OwlSight?

    Risposta: The autofocus feature of the Arducam OwlSight utilizes advanced algorithms to adjust the lens focus based on the distance of the subjects in the frame. This technology automatically optimizes clarity by ensuring that the most relevant aspects of the scene are sharply rendered. Ideal scenarios for this feature include photographing moving subjects or capturing intricate details in still life scenarios, allowing for a versatile photography experience.
  • Domanda: Can I use the Arducam OwlSight for video recording?

    Risposta: Yes, the Arducam OwlSight excels in video recording, supporting high-resolution formats that make it suitable for various applications. You can record clear and detailed videos, whether for live streaming or creating tutorials. Its auto-focus functionality also enhances video quality, ensuring that subjects remain in sharp focus as they move. This makes it particularly useful for vlogging, educational content, or any scenario where you need high-quality video.
  • Domanda: What is the installation process for the Arducam OwlSight?

    Risposta: Installing the Arducam OwlSight is straightforward. Simply connect the camera module to the designated camera interface on your Raspberry Pi. Once connected, download and configure the necessary drivers and software to ensure functionality. The simplicity of the installation process allows users to get up and running quickly, making it accessible for hobbyists and professionals alike. Whether you are tracking wildlife or developing a complex application, having a reliable setup is essential.
  • Domanda: Does the Arducam OwlSight support low-light conditions?

    Risposta: The Arducam OwlSight features a sensor that is optimized for low-light conditions, allowing for better performance in dimly lit environments. This capability ensures that you can capture clear images and videos even in challenging lighting. Ideal for nighttime wildlife photography or monitoring activities during dusk, the camera module remains effective, making it adaptable for various scenarios. This highlights the versatility of the Arducam OwlSight in diverse lighting situations.
  • Domanda: What software can I use with the Arducam OwlSight?

    Risposta: The Arducam OwlSight is compatible with several software options, including Raspberry Pi OS and various programming languages like Python. Developers can utilize libraries such as PiCamera or OpenCV for image processing and control functionalities. This flexibility allows users to implement photogrammetry, machine learning, or even simple image capturing projects. By leveraging popular libraries, you can customize and enhance your projects to meet specific requirements.
  • Domanda: Is the Arducam OwlSight suitable for beginners?

    Risposta: Absolutely! The Arducam OwlSight is designed with user-friendliness in mind, making it suitable for beginners. The straightforward installation and compatibility with common software libraries mean you don't need to be an expert to start using it effectively. For beginners looking to dive into photography or robotics, this camera module offers a valuable entry point. Supported by a wealth of online resources, new users can learn and grow with the product easily.
  • Domanda: Where can I buy the Arducam OwlSight for Raspberry Pi 5 Camera Module?

    Risposta: You can purchase the Arducam OwlSight for Raspberry Pi 5 Camera Module from Ubuy, which is a reliable online platform offering a variety of electronic products. Ubuy provides access to this innovative camera module, ensuring you can take advantage of its high-resolution capabilities and advanced features. Visit Ubuy to explore the product and enhance your Raspberry Pi projects with this exceptional camera solution available in San Marino.

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€ 72

Ordina subito e ricevilo entro Martedì, Agosto 04

Qtà:

Transazione sicuraTransazione sicura

Conforme allo standard PCI DSS e certificato ISO 27001:2022, con pagamenti crittografati e piena protezione dell'acquirente su ogni ordine.

I nostri principali partner logistici
  • fedex
  • dhl
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Caratteristiche e benefici

  • High-resolution 64MP camera module
  • Capable of capturing detailed images
  • Flexible focus solutions including auto, manual, and continuous
  • ABS shell for protection with tripod compatibility
  • Compatible with various Raspberry Pi models
  • Supports multiple output formats and video modes

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