Train and run machine learning models on vision, sound and motion data - a complete tinyML lab that fits in your hand.
Available with a lead time
Expect dispatch between Oct 05 and Oct 06
Everything you need to learn embedded machine learning, from capturing your own data to deploying trained models on a thumbnail-sized microcontroller.
This kit is built to accompany Professor Vijay Janapa Reddi's Machine Learning Systems textbook from Harvard University, with hands-on tinyML® lab sessions developed with Marcelo Rovai (UNIFEI). Each lab builds a practical skill with documentation and example code, so learners pair the theory with real results on real hardware.
At its heart is the Seeed Studio XIAO ESP32-S3 Sense, with an onboard OV3660 camera, digital microphone, Wi-Fi and Bluetooth LE. An IMU expansion board clips on to add a 6-axis LSM6DS3TR-C motion sensor and a 0.42" OLED display, and a 32 GB SanDisk microSD card kit handles dataset logging - covering vision, audio and motion projects with one compact setup.
Program it from the Arduino IDE, train and deploy models without code using SenseCraft AI, or build your own pipelines with TensorFlow Lite (LiteRT).
Learn with a structured, university-aligned path - lab sessions follow the Machine Learning Systems curriculum from Harvard's tinyML4D group
Build image classification and object detection projects using the onboard OV3660 camera
Create keyword spotting and voice command projects with the built-in digital microphone
Recognise gestures and analyse movement with the precise 6-axis IMU
See inference results on-device, no PC required, thanks to the 0.42" OLED display
Collect large training datasets in the field by logging straight to microSD
Program and power over a single USB-C cable, or go portable with a 3.7 V LiPo on the JST connector
Official Seeed Studio hardware, designed to work together out of the box
Property | Specification |
|---|---|
Microcontroller board | Seeed Studio XIAO ESP32-S3 Sense |
Camera | OV3660 |
Microphone | Digital microphone |
Wireless | Wi-Fi, Bluetooth LE |
Display | 0.42" OLED (SSD1315 driver) |
IMU | LSM6DS3TR-C, 6DoF |
Storage | microSD card slot (32 GB card included) |
Button | Reset |
Battery connector | JST 1.0 mm, 2-pin |
Power supply | USB-C or 3.7 V battery |
Dimensions | 21 × 17.8 × 30 mm |
Weight | 10.6 g |
1x Seeed Studio XIAO ESP32-S3 Sense (pre-soldered, with OV3660 camera, digital microphone and microSD card slot)
1x IMU expansion board for XIAO ESP32-S3 (6-axis IMU and 0.42" OLED)
1x 2.4 GHz FPC antenna
2x heatsinks
1x SanDisk 32 GB microSD card
1x USB-C to USB-A adapter
1x 20 cm USB-A to USB-C cable
This product is listed in:
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Products that weigh more than 0.5 KG may cost more than what's shown (for example, test equipment, machines, >500mL liquids, etc).
We deliver Australia-wide with these options (depends on the final destination - you can get a quote on the view cart page):
Non-metro addresses in WA, NT, SA & TAS can take 2+ days in addition to the above information.
Some batteries (such as LiPo) can't be shipped by Air. During checkout, Express Post and International Methods will not be an option if you have that type of battery in your shopping cart.
International Orders - the following rates are for New Zealand and will vary for other countries:
If you order lots of gear, the postage amount will increase based on the weight of your order.
Our physical address (here's a PDF which includes other key business details):
40 Aruma Place
Cardiff
NSW, 2285
Australia
Take a look at our customer service page if you have other questions such as "do we do purchase orders" (yes!) or "are prices GST inclusive" (yes they are!). We're here to help - get in touch with us to talk shop.
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