Tutorial Search - Tag - machine learning

Object Detection with Edge Impulse Using Mobile Phone

Edge Impulse enables the creation of an object detection project on a mobile device. Utilising the smartphone's camera, this project gathers data and constructs a machine learning model...

Edge Impulse with Raspberry Pi Pico Application Using Ultrasonic Sensor

Edge Impulse now supports devices with the RP2040 chip. The project uses the Raspberry Pi Pico with the RP2040 chip to create an ultrasonic ranger for distance measurement...

Edge Impulse with Raspberry Pi Pico Application Using ADC Light Sensor

Edge Impulse has the ability to interface with the Raspberry Pi Pico device, equipped with the RP2040 chip. In this project, data is gathered using the light sensor to measure light intensity...

Edge Impulse with Mobile Phone Application Using Accelerometer

Edge Impulse supports mobile devices, allowing the implementation of machine learning models directly on phones. This project emphasizes using the built-in accelerometer sensor in the phone...

Object Classification with Edge Impulse Using Raspberry Pi 4 and Camera Module

Raspberry Pi 4 seamlessly integrates with Edge Impulse, a versatile Linux board supporting the easy addition of a microphone or camera for efficient object classification projects...

Introduction to Edge Impulse

Edge Impulse guides embedded machine learning, helping developers optimize solutions with real-world data. It speeds up deployment, benefiting various industries...

Google เปิดตัว MediaPipe สำหรับ Raspberry Pi

Google เปิดตัว MediaPipe สำหรับ Raspberry Pi ซึ่งเป็น Python SDK สำหรับการทำ Machine Learning บนอุปกรณ์อย่างง่าย..

TinyML on Arduino using Edge Impulse

Edge Impulse is a platform that allows us to build projects related to machine learning on microcontrollers. This tutorial will be divided into a few parts, and we will update accordingly.....