Introduction to the software package used by BlueCoin

I introduced the BlueCoin micro development board kit. Here I will introduce the software packages used by BlueCoin , as follows:

1. STSW-BCNKT01 : Embedded software demo , the main functions include obtaining data through USB and BLE , saving log data to SD card, gesture recognition, audio capture and playback.

2. FP-SNS-ALLMEMS1 : MEMS sensor evaluation software package, the main demonstration functions include IoT node BLE interconnection, digital microphone, environment and motion sensor, audio middleware algorithm library.

3. FP-AUD-SMARTMIC1 : Intelligent audio input and output software expansion package, including MEMS microphone acquisition, advanced audio processing (including Beamforming , SL , AEC ), and audio output.

4. FP-AUD-BVLINK1 : Mainly introduces BlueVoice to transmit half-duplex voice data stream through BLE .

BlueCoin has built-in FP-AUD-SMARTMIC1 firmware by default . This article first introduces its use and functions.

Operation steps :

1. BuleCoin core board main expansion board inserted into the above

2. Connect the BlueCoin kit to the PC via the Micro-USB cable . If the PC is a Win7 system, you need to install the driver. The driver is in the Utilities\Windows_7_Driver path of the FP-AUD-SMARTMIC1 package . Right-click on the device with a yellow exclamation point, select the driver for the specific path, and update it.

Note : After connecting the USB cable to the PC , the LED near the STlogo position lights up, indicating that BlueCoin is working properly.

3. Open the FP-AUD-SMARTMIC1 GUI software, located in Utilities\PC_Software\Control_SW_Executable , select the COM port to open, you can use the related functions of FP-AUD-SMARTMIC1 .

Main features :

1. Beam forming . The beamforming algorithm uses the audio data acquired by two of the microphones to form a virtual microphone that points in a particular direction.

Note : If the “Enable Gesture Control” option is checked , the algorithm will use the two ToF Sensors onboard to recognize the user's gesture movement. Assuming the hand moves from right to left (direction 3 to 7 ), the algorithm will change the beam direction to 7 .

2. Soundsource localization . The sound source localization algorithm uses the audio data acquired by the four microphones to determine the approximate direction of the primary sound source.

Note : The red circle in the above figure indicates the direction of the sound source judged by the algorithm.

3. Acousticecho cancellation (AEC) . The speaker will play a song stored in the MCUflash to simulate the far-end sound signal. The algorithm collects the audio data of the microphone 1 , and then uses the echo cancellation algorithm to remove the sound of the song in the data.