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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...
Voice Recognition with Edge Impulse Using Computer Application
Edge Impulse empowers computer devices to function in their surroundings. In this setup, the computer serves as the primary tool for gathering data and deploying machine learning models...
Mobile Robot using TinyUSB
Wireless control of the mobile robot is made possible through the use of a wireless joystick via TinyUSB. In essence, this marks an improvement to the device information project by integrating the re..
HID Recogniser using TinyUSB
The Hardware Interface Device (HID) is identifiable when the device is connected to the externally installed Type A USB host connector, which is derived from TinyUSB...