Speech recognition realized by connecting a microphone to a Raspberry Pi is effective for some applications and is not too expensive. If you only need speech recognition, which is different from spoken dialogue, you don’t need much machine specs. There are many speech recognition software, services, and libraries, both paid and free. We often see API services, especially from Google, Amazon, and IBM. Since we wanted to conduct this project in a local environment (offline), we considered “Julius,” which is highly efficient and versatile, and “VOSK,” which can be easily handled with a Python program. Both are free and easy to start. Since it is a local environment, there is…
Voice Alerts with Raspy Communicates Equipment Abnormalities
Using TTS (Text To Speech) on the Raspberry Pi, you can make it speak from text in natural speech. Especially if it is a fixed short sentence, it can be played back in near real time even with the performance of the Raspberry Pi.
Real-time visualization of field data, starting with Raspberry Pi and Grafana
It is easy to imagine the case for connecting sensors to the Raspberry Pi for industrial applications. In particular, they are widely used for temperature and humidity control. When “visualizing” the acquired data, graphs and numerical tables are effective, but displaying the data overlaid on a drawing is more intuitive. This time, we realized it with Grafana.The following image is an example using test data in the database, but in reality data from sensors can be updated and displayed in real time. With the increase in extreme weather in recent years, many industries are facing challenges in dealing with heat.In the logistics industry, such as warehouses and distribution centers, as…


