LSPIV vs Workshop for Raspberry Pi Pico

LSPIV (large-scale particle image velocimetry) is an image-based method for measuring velocity distribution on the water surface. Applications of LSPIV have been increasing for both field and laboratory experiments as unique and powerful tools for non-intrusive velocimetry using conventional imaging devices and specialized image processing software. This app utilizes a smartphone to implement LSPIV. By innovatively combining the sensors embedded in smartphones, the images captured with them can be intrinsically and instantly ortho-rectified without making recourse to GCPs. The app was developed under support by the River Fund in charge of the Foundation of River and Watershed Environment Management (FOREM), Japan; Grant-in-Aid for Young Scientists (B); and the Research Fund of Japan Institute of Country-ology and Engineering.

This app is a collection of rich demo projects for makers, electronics enthusiast, or engineering students using Raspberry Pi Pico development board Features 1. Display projects • Character LCM 16x2 • I2C OLED 96x64 • SPI OLED 96x64 • TFT 176x220 • LED matrix • P10 led matrix 2. Sensors Projects • 18b20 temperature sensor • BMP180 pressure sensor • MPU6050 sensor • Pulse sensor • AM2320 sensor 3. Automation projects • Home automation using Wifi • Home automation using Bluetooth • Home automation using BluetoothLE • Home automation using LoRa • Home automation using 24L01 4. Memory Projects • Microwire eeprom • I2C eeprom • SPI eeprom • SPI SRAM 5. IoT projects • BMP180 IoT SMS • BMP180 IoT thingspeak 6. Miscellaneous Projects • Bluetooth multimeter • Milli-ohm meter • FM5767 FM radio • GPS module • Bluetooth ws2812 led strip • LoRa weather station 7. Audio Projects • SAA1099 piano • SAA1099 music player More projects will be added soon ! Raspberry Pi is a trademark of Raspberry Pi foundation. "Python" and the Python logos are trademarks or registered trademarks of the Python Software Foundation. All other trade names mentioned in this app or the other documentation provided by this app are trademarks or registered trademarks of their respective holder. This app is not related or affiliated in any way these companies.