Stufin
Home Quick Cart Profile
TinyML DIY Fitness Tracker using Raspberry Pi Pico
TinyML DIY Fitness Tracker using Raspberry Pi Pico
TinyML DIY Fitness Tracker using Raspberry Pi Pico

TinyML DIY Fitness Tracker using Raspberry Pi Pico

Quick Delivery
2-3 hours delivery

Quick delivery will be available soon...

Normal Delivery
₹1,798.6725.0% OFF
₹1,349.00
3-4 days delivery
In Stock: 200

Description: 1. Introduction: TinyML DIY Fitness Tracker is an open-source project that utilizes Raspberry Pi Pico for building a lightweight, wearable fitness tracking device using machine learning algorithms through TinyML technology. 2. Components: Key components include Raspberry Pi Pico microcontroller, accelerometer sensor, heart rate sensor, USB power bank, and necessary wiring materials. 3. Features: Tracks steps taken, distance covered, calories burned, and heart rate in real-time; Stores data locally on the device or sends it to a cloud server for analysis and visualization using APIs like Google Fit; Can be customized with various machine learning models for advanced features, such as fall detection. 4. User Interface: Features an easy-to-read OLED display that shows real-time data, including steps taken, heart rate, and calories burned. Users can interact with the device using simple button controls. 5. Portability and Comfort: Compact size and lightweight design make it ideal for

Specification Details
Microcontroller Raspberry Pi Pico (RP2040) - 32-bit ARM Cortex M0+ CPU 2x SPI interfaces and USB OTG
Operating System MicroPython or CircuitPython (TinyML-based operating systems)
Memory 264 KB RAM 16 MB Flash storage (on-board microSD card slot for expansion)
Power Supply USB-C power supply 5V input (3.7V Li-ion battery support via external adapter or on-board battery)
Connectivity Bluetooth Low Energy (BLE) Wi-Fi (via optional USB dongle) and I2C SPI UART for sensors
Sensing Capabilities Accelerometer (3-axis) Gyroscope (3-axis) Magnetometer (3D orientation detection)
Fitness Tracking Features Step counter distance tracker calories burned estimator sleep analysis and heart rate monitoring
TinyML Model Pre-trained machine learning model for fitness tracking (e.g. accelerometer-based activity recognition)
Communication BLE (BLE 5.0) for smartphone connectivity supports iOS and Android devices
Water Resistance IP67 rating - can withstand immersion in water up to 1 meter for up to 30 minutes
Battery Life Up to 10 days of battery life (depending on usage patterns and power-saving settings)
Dimensions 45.5 x 26 x 12 mm weight: approximately 25 grams
Return Policy

Related Products

No products found

No related products found.