Skip to content
Free shipping on orders over 50€ to Austria, France, Germany, Italy, and Spain!
Free shipping on orders over 50€ to Austria, France, Germany, Italy, and Spain!

    Your cart is empty

    Time to spark some excitement 🛒⚡

Taxes and shipping calculated at checkout
Subtotal €0,00

HM0360 VGA Monochrome DVP Camera Module for Arduino GIGA R1 WiFi Board

SKU TPX00215 Barcode B0461 Show more
Original price €0
Original price €11,21 - Original price €11,21
Original price
Current price €11,21
€11,21 - €11,21
Current price €11,21
VAT included

Low light sensitive, ultralow power consumption, simple interface, compatibility with Arduino libraries, suitable for battery-powered and energy-efficient applications.

Overview

The camera module is based on HM0360 VGA image sensor, which is an ultralow power, Back Side Illuminated (BSI) CMOS sensor designed for energy efficient smart vision applications, such as object-specific classification, tracking, and identification. The VGA resolution is ideal for monitoring, detection and image capture for wide field of view camera devices.
The low consumption camera module is equipped with a 64°(DFOV) stock Lens. It supports 8-bit RAW output format. The standrad operating temperature is between -30~85℃, with the stable Image temp. between 0~50℃.
It is fully compatible with Arduino GIGA R1 WiFi board, a professional-grade microcontroller development board recently launched by Arduino. Seamlessly integrates with our camera module, unlocking versatile image capture and processing capabilities. Harness the power of Arduino GIGA R1 WiFi and gain a competitive edge in your projects.

Features:

  • Cost-Effective: Affordable solution for implementing visual capabilities in cost-sensitive projects.
  • Compact Size: Compact form factor enables integration into space-constrained applications.
  • Simplify Embedded Vision for All: Easy to set up and operate. Making it possible to add machine vision to your GIGA R1 WiFi board without much effort at all.
  • High Precision: With on chip high precision oscillator, Bad Pixel correction(BPC), auto exposure/gain, amblent light sensor and zone detection
  • Low Power Consumption: Efficient power usage, making it suitable for battery-powered and energy-efficient applications.

Tech specs

Image Sensor HM0360
Resolution VGA
Optical Size 1/6''
Number of effective pixels 640(H) × 480(V)
Pixel Size 3.6μm × 3.6μm
Support Platform Arduino GIGA R1 WiFi Board
Shutter Type Electronic Rolling Shutter
Color Filter Array Monochrome
Frame Rate 640x480@15fps, 320x240/160x120@30fps
Output Format RAW8/RAW4
F.NO 2.8±5%
Focus Type Fixed Focus
Focal Length 2.59mm
Field of View(FOV) 64°(D)
Power Supply AVDD: 2.8V; DOVDD: 1.8V; DVDD: 1.2V
Operating Temperature -30~85℃
Camera Board Size 30.5mm x 30.5mm

Documentation

Get Inspired

BLOG
Transform the way you organize your home with Arduino
Transform the way you organize your home with Arduino
September 13, 2022

… storage save us? The smart storage solution Khairul decided to fix the problem by building his very own smart pantry, designed to keep track of ingredients and make sure nothing ever runs out. The project works by monitoring every item in the pantry, and if something is running low, it automatically orders a replacement using Amazon DRS. This project is a great way to remove human error from the process of keeping our cupboards stocked. The best part is it’s easy to do yourself at home with just a few simple components and tools. Check out the full project and instructions here. Smart wardrobe An overflowing wardrobe is a good thing — it allows you to mix up your outfits and dress well whatever the occasion. However, packed wardrobes can also be tricky to manage, and it’s easy to lose track of clothes or end up filling space with items we no longer wear. Arduino user Tan See Youu decided to fix this problem by building his own smart wardrobe. The challenge People today own more clothes than ever before. However, you probably won’t wear all of them. Over time, certain outfits tend to get forgotten and fall back into the murky depths of the wardrobe, never to see the light of day again. In areas with high humidity and warm climates like Singapore, clothes that are left for a long time in the wardrobe can even become moldy. The smart storage solution Tan See Youu’s smart wardrobe helps you manage your clothes and keep track of where everything is, displaying this information on a smart screen. The wardrobe can also push this data into the cloud and share it with your phone via a mobile application. The app can even provide suggestions on what to wear today based on the events in your calendar and the current weather forecast, and it comes with a dashboard showing which clothes you wear most frequently and which outfits you have neglected. If you haven’t worn a certain item in a while, the app can offer suggestions for

read more

Inspired by your shopping trends

  • Microwave motion radar

    The RCWL-0516 is particularly suitable as an alternative to using a PIR motion sensor. When it detects a moving object, the output changes from a low logic level to a high level (3.3 volts). Approp...

  • HM01B0 QVGA Monochrome DVP Camera Module for Arduino GIGA R1 WiFi Board

    This camera is based on HM01B0 QVGA monochrome rolling shutter image sensor. The sensor is an Ultra Low Power Image Sensor designed for Always-on vision devices and applications. With high light se...

  • Arducam 0.3MP OV7675 20-pin DVP Camera Module for Arduino GIGA R1 WiFi

    The Arducam OV7675 camera provides support for resolutions of up to 640x480 pixels, ensuring the capture of clear and sharp images. Its versatile range of features enhances the functionality of you...

  • Arduino Mega Proto Shield Rev3 (PCB)

    The Arduino Prototyping Shield makes it easy for you to design custom circuits. You can solder parts to the prototyping area to create your project,or use it with a small solderless breadboard (not...

Compare products

0 of 3 items selected

Select first item to compare

Select second item to compare

Select third item to compare

Compare
€{{amount_with_comma_separator}}