Overview
DFPlayer mini MP3 player is a small and low cost MP3 module player with a simplified output directly to the speaker.
The module can be used as a standalone module with attached battery, speaker and push buttons or used in combination with an Arduino UNO or any other with RX/TX capabilities.
It perfectly integrates hard decoding module which supports common audio formats such as MP3, WAV and WMA.
Besides, it also supports TF card with FAT16, FAT32 file system. Through a simple serial port, users can play the designated music without any other tedious underlying operations.
Application
- Car navigation voice broadcast
- Road transport inspectors, toll stations voice prompts
- Railway station, bus safety inspection voice prompts
- Electricity, communications, financial business hall voice prompts
- Vehicle into and out of the channel verify that the voice prompts
- The public security border control channel voice prompts
- Multi-channel voice alarm or equipment operating guide voice
- The electric tourist car safe driving voice notices
- Electromechanical equipment failure alarm
- Fire alarm voice prompts
- The automatic broadcast equipment, regular broadcast
Tech specs
|
Supported sampling rates (kHz): 8/11.025/12/16/22.05/24/32/44.1/48 |
| 24 -bit DAC output, support for dynamic range 90dB , SNR support 85dB |
| Fully supports FAT16, FAT32 file system, maximum support 32G of the TF card, support 32G of U disk, 64M bytes NORFLASH |
| A variety of control modes, I/O control mode, serial mode, AD button control mode |
| Advertising sound waiting function, the music can be suspended. when advertising is over in the music continue to play |
| 30 level adjustable volume, 6 -level EQ adjustable |
Get Inspired
Device to automate that ordinary coffee maker everyone has.
For children who experience certain developmental delays, specific types of physical therapies are often employed to assist them in improving their balance and motor skills/coordination. Ivan Hernandez, Juan Diego Zambrano, and Abdelrahman Farag were looking for a way to quantify the progress patients make while simultaneously presenting a gamified approach, so they developed a standalone node for equilibrium evaluation that could do both. On the hardware side of things, an Arduino Nano BLE 33 Sense Rev2 is responsible for handling all of the incoming motion data from its onboard BMI270 six-axis IMU and BMM150 three-axis magnetometer. New readings are constantly taken, filtered, and fused together before being sent to an external device over Bluetooth Low Energy. The board was also connected to a buzzer and buttons for user inputs, as well as an RGB LED to get a real-time status. The patient begins the session by first putting on the wearable and connecting to the accompanying therapist application. Next, a game starts in which the user must move their torso to guide an image of a shark over the image of a stationary fish within a time period — ultimately trying to get the highest score possible. Throughout all of this, a vision system synchronizes its readings with the IMU sensor readings for an ultra-detailed look at how the patient responds to the game over time. To read more about the project, you can visit the team's write-up on Hackaday.io.