Arducam QVGA Mono DVP Camera For Arduino GIGA R1, Arduino Compatible Board

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£4.66

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£5.59

(inc. VAT)

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RS Stock No.:
286-366
Mfr. Part No.:
B0460
Brand:
Arducam
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Brand

Arducam

Product Name

QVGA Mono DVP Camera For Arduino GIGA R1

Kit Classification

Arduino Board

Processor Part Number

HM01B0

COO (Country of Origin):
CN
The Arduino Monochrome DVP Camera Module for Arduino Giga is based on the HM01B0 QVGA monochrome rolling shutter image sensor. This sensor is ultra-low power image sensor designed for always on vision devices and applications. With high light sensitivity and an on chip self oscillator, it provides better image quality under different light conditions. The low power consumption camera module is equipped with a 60-degree D stock lens and supports RAW6/8 output format. The standard operating temperature ranges from -30 to 85°C, with stable image temperature between 0 to 50°C. Fully compatible with the Arduino Giga R1 board and Arduino Giga Display Shield, a recent addition to Arduino’s professional-grade microcontroller development boards. Seamless integration empowers the camera module, unlocking versatile image capture and processing capabilities.

Efficient and compact with ultra low power consumption MCU solution
Arduino Giga display shield and Giga R1 wifi board compatible
Simple for all set up and access with simple operations
High sensitivity 36μ bright sense pixel technology for high low light sensitivity
Ultra low power ultra low power consumption to save more
Contact salesarducamcom for instructions before use
Cost effective vision solution affordable and compact ideal for budget friendly projects integrating vision capabilities
Simplify embedded vision for all easy to set up and operate
Making it possible to add machine vision to your Giga r1 board without much effort at all
High sensitivity high low light sensitivity 36μ bright sense pixel technology with on chip self oscillator
Ultralow power consumption efficient power usage making it suitable for battery powered and energy efficient applications

Applications


Machine or computer vision
Robotics
IoT
Digital fabrication
Real time processing

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