Building a wooden bench for our mud-room area using standard lumber 2x2, 1x3, 1x8 from big box store. Initially rendered the design in Fusion360, cut using the dimensions out of the project, using power tools and pocket screws.
DIY Faux wood-beam lights mode from cedar fence pickets. Light is controlled by Sonoff Mini. Pendent Lights: amazon Software: ESPHome
Using an ESP8266 with PCM5102 to play MP3 files stored in SPIFFs. There is a motion sensor to trigger playback and LEDs for Halloween effects. GitHub: debsahu/HalloweenESPSpeakers Using an ESP8266 with PCM5102 to play MP3 files stored in SPIFFs. There is a motion sensor to trigger playback and LEDs for Halloween effects. Wiring [PCM5102 DAC > ESP8266/NODEMCU] VCC > 3.3 3.3V > 3.3 GND > GND FLT > GND DMP > GND SCL > GND BCK > GPIO15/D8 (I2S CLOCK) DIN > GPIO3/RX (I2S DATA) LCK > GPIO2/D4 (L/R CONTROL) FMT > GND XMT > 3....
Using ESPHome for connecting ESP8266 to MAX7219 Dot-Matrix Display to show useful information from Home Assistant. This is used by my wife’s channel Canvasyvibes Art Software: ESPHome
My very first wood working project. Please leave a comment on how I can improve on this craft.
My attempt to upgrade our dining room air register/vent to alleviate our dogs paw getting caught. Here I use ARIA OG black 4" x 10" vent bought directly from www.ariavent.com
A demo for RTX voice to filter out background noise. If you have a NVIDIA RTX/GTX GPU, utilize it to filter you background in your favorite work from home app. RTX Voice: https://www.nvidia.com/en-us/geforce/guides/nvidia-rtx-voice-setup-guide/
Install of Biobidet Bliss BB200 and connecting it to Home-Assistant. Wilbur Sargunaraj Software: ESPHome
Use TensorFlowJS via WebAudio API and WebGL GPU acceleration on Browser to recognize “keywords”. In our case, without retraining “UP” turns on LED and “DOWN” turns it off. FFT on ESP32 GitHub: debsahu/SpeechRecognitionTensorFlowJS Speech Recognition on Browser, AsyncWebServer served on ESP8266 to control LED_BUILTIN/GPIO16 Uses WebAudio API and WebGL GPU acceleration = speech recognition is done on the browser http:// requests for microphone is blocked for chrome, use firefox instead tf....
Here we use ESP32 microcontroller to analyze real-time audio signals Real-time FFT to get frequencies Use MSGEQ7 chip to get the same data Display frequency bands on LEDs as bars FFT basics: GitHub: debsahu/ESP32_FFT_Audio_LEDs Libraries Needed Software FFT platformio.ini and Hardware FFT platformio.ini is included, use PlatformIO and it will take care of installing the following libraries. Library Link arduinoFFT https://github....