TinyML Starter Kit with ESP32 – Robocraze

TinyML Starter Kit with ESP32 – Robocraze

4.5
(663)
Écrire un avis
Plus
€ 1.00
Ajouter au panier
En Stock
Description

TinyML Starter Kit with ESP32 Are you fascinated about machine learning and AI and you don't know where to start? If Yes, then this is the all New TinyML Starter Kit with ESP32 ingeniously curated by Robocraze. This Starter Kit is made for Machine Learning (ML) Enthusiasts who are willing to to understand how machine l
TinyML Starter Kit with ESP32 Are you fascinated about machine learning and AI and you don't know where to start? If Yes, then this is the all New TinyML Starter Kit with ESP32 ingeniously curated by Robocraze. This Starter Kit is made for Machine Learning (ML) Enthusiasts who are willing to to understand how machine learning works. Machine Learning's computing systems makes it easier to understand the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision.  With the help of this Machine Learning Kit, you will be able to understand the inner workings of Machine Learning System. This Kit comes with ESP32 Development Board, Sensors, Jumper Wires, LEDs, Resistor Box, Breadboard, Motor, Buzzer, battery, along with a Manual with complete Guide.  What you will Learn from this Kit? This is the optimum kit for a beginner who want to get started with learning TinyML and exploring it implementation on the ESP32 Board. It contains experiments that gradually increase in difficulty level from the beginner to intermediary concepts. It covers multiple machine learning paradigms such as classification and regression techniques in supervised learning as well as anomaly detection in unsupervised learning based on clustering techniques. Learn how to implement various applications such as gesture recognition, sensor calibration and anomaly detection based predictive maintenance. Prerequisites: Basic Understanding of embedded systems/Arduino and ESP32. Package Includes: 1 x ESP32 - 30 Pin 1 x Cable USB to Micro USB 1 x MPU6050 1 x DHT11 Module 1 x Thermistor Sensor 1 x LDR sensor 1 x GY-302 BH1750 Light Intensity Module 1 x Gear Motor - 200 RPM (With Wire) 1 x Current Sensor - 5 Amp 1 x Voltage Sensor 1 x 9v Battery 1 x 9v Battery Cap 1 x Breadboard - Half breadboard 20 x Jumper Wires M-M 20 x Jumper Wires M-F 20 x Jumper Wires F-F 1 x Resistor Box 1 x Screw Driver- Single small one 5 x LED - ( Red) 1 x Buzzer- Goli Active Buzzer 1 x Manual Specifications: Microcontroller ESP-WROOM-32 Processor Tensillica Xtensa LX6 microprocessor with 2 cores NodeMCU Size 49mm x 25 mm Pin Spacing 0.9 (22.86mm) Clock Speed 160 MHz USB to Serial CP2102 USB Connector Micro USB Operating Voltage 2.5 V to 3.6 V Input Voltage 4.5V-15V Flash Memory 4MB SRAM 520KB ROM 448KB Digital I/O Pins 16 Analog In Pins 16 ADC Range 0-3.3V UART 2 SPI 1 I2C 1 CAN 2 WiFi Built-In 802.11 b/g/n

ESP32 Starter Kit with ESP32 WiFi module Botland - Robotic Shop

FREE ARDUINO SESSIONS - Arduino Week 2022 - Robocraze

TinyML Starter Kit with ESP32 – Robocraze

Products - Robocraze – tagged Kits

Raspberry Pi Kit for Beginner & Advanced TRUSTED & AUTHORISED SELLER – tagged Electronic Kits – Robocraze

Freenove Robot Dog Kit for ESP32-WROVER (Included), Camera, Walking, Ultrasonic Ranging, Touch Sensor, Buzzer RGB LED Servo App : Toys & Games

TinyML Starter Kit with ESP32 – Robocraze

Buy Arduino Tiny Machine Learning Kit Online in India – Robocraze

Robocraze

LAFVIN Basic Starter Kit for ESP32 ESP-32S WiFi I OT Development Board with Tutorial Compatible with Arduino IDE : Electronics

ESP32 Starter Kit with ESP32 WiFi module Botland - Robotic Shop

ESP32-WROVER -> A powerful and small controller with onboard camera and wireless. (Included in this kit.) 3 programming languages -> MicroPython, C

Freenove Ultimate Starter Kit for ESP32-WROVER (Included) (Compatible with Arduino IDE), Onboard Camera Wireless, Python C, 814-Page Detailed

Robocraze on Instagram: After the success of our Basic TinyML workshop, we are back with an Advanced Course on TinyML using Raspberry Pi Pico. *Kit included* 10-11 December 2022 Key Highlights of