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Documents Getting Started with the Grove System from SEEED Studio! - Workbench Wednesdays 62
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  • Author Author: cstanton
  • Date Created: 11 Oct 2022 1:13 PM Date Created
  • Last Updated Last Updated: 12 Oct 2022 7:24 AM
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Getting Started with the Grove System from SEEED Studio! - Workbench Wednesdays 62

In episode 62 of Workbench Wednesday, James takes a look at Seeed Studio’s Grove System! Which is a set of modules with specific sizes that connect together with simple cables. No soldering is required to add sensors or displays or many other devices to a microcontroller board. So specifically in this video, we look at several Grove modules and how they work with an Arduino and the Raspberry Pi!

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Supplemental Content

  • Information on the Grove Connectors for including in your projects
  • JST Manufacturer Page (Japan Solderless Terminal)
  • RoadTest for the Grove Inventor Kit and BBC micro:bit

Bill of Materials

Product Name Manufacturer Quantity Buy Kit
Grove Beginner Kit Arduino Modules Uno Seeed Studio Buy Now
Grove Connector Pack (2.0mm 4-pin) Seeed Studio Buy Now
Lotus (Arduino + Base connectors) (This is M0+, not 328p) Seeed Studio Buy Now
Grove Cable, Buckled, 4 Pin, 30 cm, 5 PCs Pack Seeed Studio Buy Now
Base HAT Interface, Grove, 3.3 V in, Raspberry Pi, Digital/Analog/I2C/PWM/UART Port Seeed Studio Buy Now
Grove System Board, MS8607, Digital Pressure, Humidity and Temperature Sensor, I²C TE Connectivity Buy Now
 



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  • ralphjy
    ralphjy over 3 years ago

    I've used Grove sensors for a while and find them to be very useful.  They are especially useful with the Wio Terminal because that adds a display, buttons and WiFi.  And you can add a battery pack which also adds more Grove ports.

    Seeed recently released a sensor kit that I would highly recommend for playing with Grove sensors - the SenseCAP K1100 kit.  It includes a Wio Terminal and a number of Grove modules, including a camera and LoRa.  They released SenseCraft firmware for use with the Wio Terminal and are extending it for use with M5 and Xiao devices.  SenseCraft allows easy sensor integration and also some AI.

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  • ralphjy
    ralphjy over 3 years ago

    I've used Grove sensors for a while and find them to be very useful.  They are especially useful with the Wio Terminal because that adds a display, buttons and WiFi.  And you can add a battery pack which also adds more Grove ports.

    Seeed recently released a sensor kit that I would highly recommend for playing with Grove sensors - the SenseCAP K1100 kit.  It includes a Wio Terminal and a number of Grove modules, including a camera and LoRa.  They released SenseCraft firmware for use with the Wio Terminal and are extending it for use with M5 and Xiao devices.  SenseCraft allows easy sensor integration and also some AI.

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  • baldengineer
    baldengineer over 3 years ago in reply to ralphjy

    Interesting looking kit.

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  • ralphjy
    ralphjy over 3 years ago in reply to baldengineer

    For playing with individual Grove modules, I like the M5StickC Plus which has a single Grove port, a small display, and battery.  It's ESP32 based, so you also get WiFi and Bluetooth.  What's nice is that you can buy adapter cables to interface the Grove port to Adafruit Stemma/Stemma-QT and Sparkfun QWIIC sensors.

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  • ralphjy
    ralphjy over 3 years ago in reply to ralphjy

    I think I need to amend my comment above (can't edit it).  I just tried the SenseCraft firmware and the basic sensors seem pretty well integrated (the internal ambient light, microphone, 3 axis IMU plus the Grove soil moisture, temp/humidity, voc sensors included in the kit).  It auto identifies the Grove sensors sort of plug and play (I assume that it does that via I2C, but not sure how it recognizes the soil moisture sensor).  The more complex sensors, however, have some issues.  The LoRa is probably configured for their SenseCap network, so I'll need to figure out what I need to modify to have it work with my Things Network gateway.  And I need to figure out how to visualize the camera.  The Vision AI example doesn't work.  It can identify whether the camera is attached, but it always detects 1 person regardless of what I do.

    Probably is worth a blog post when I get the time.  The good news is that the code is all up on github, so I should be able to see what it's doing and hopefully modify it.

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