The PiShrink tool software allows you to reduce the size of the Raspberry Pi OS image file that you have backed up in its entirety beforehand. The reason why it is necessary to reduce the size of the image file is because the file size will inevitably become huge, making it difficult to save and handle. The backup image file for the Raspberry Pi Compute Module 4 that we have prepared is about 30 GB. Multiple backup files require even more storage space. Even if the files are stored in a different location, it will take a considerable amount of time to move or copy the files. If the file…
AI image processing, which can be achieved with Raspberry Pi + Hailo onboard, can process 3 cameras simultaneously!
When we hear the words AI image processing and edge processing, we tend to imagine a large system, but in fact, Raspberry Pi is used in systems that are practical enough.
Introduction to Speech Recognition with Raspberry Pi +USB Microphone for Industrial Applications , Julius, VOSK
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…
Tailscale, a super easy VPN service that is free to use on Raspi.
Introducing Tailscale, a cloud VPN service that can be used even from a Raspberry Pi!
Summary of how to command a USB-connected webcam in CM5
The camera module that can be directly connected to the Raspberry Pi via a CSI connection can be used with the rpicam-still command, but a USB-connected webcam cannot.
Make Raspi a file server!
Samba File Sharing Guide on Raspberry Pi OS
With the Samba service, Raspi CM4/5 can become a file server that can be accessed from both Windows and macOS.
As it functions as a server, files can be accessed from several client PCs at the same time.
Announcing the PL-R5 Industrial Raspberry Pi with Raspberry Pi CM5 as a standard feature
-Supports Single Pair Ethernet (SPE) and USB 3.0, ideal for embedded applications-.
The latest model of industrial Raspberry Pi with CM5 This product is the latest model in the industrial Raspberry Pi PL-R series, featuring a design that combines the stability, reliability, and expandability required in industrial settings. The new model is equipped with the Raspberry Pi Compute Module 5 (CM5). The IP65 waterproof design allows for outdoor use. The new interface includes a USB 3.0 port and a single-pair Ethernet (SPE) port*, and an option to add an AI accelerator to the M.2 slot for expansion. The new CM5 offers a more flexible and high-performance option for developing applications for smart factories and robotics. *Single pair Ethernet port is implemented in…
Benchmark test comparison of the new Compute Module 5 with the previous CM4
The new Compute Module 5 (“CM5”), like the commercially available Raspberry Pi 5, has a significant performance boost.Therefore, we tried benchmark tests with Compute Module 4 (“CM4”) and CM5.We used Geenbench and PiBenchmarks. The PL-R4 and PL-R5M were used for the trial.The operating system for the “PL-R4” with CM4 is bullseye and the “PL-R5M” with CM5 is bookworm.Each is activated by eMMC. Geekbench Geekbench, the famous benchmark test, can be run on the Raspberry Pi. However, only the preview version, which is treated as a beta version, is supported. This is because the CPU is an Arm. Geekbench preview version: https://www.geekbench.com/preview/ For Linux, I found that it is compatible with…









