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Bee Nakamura and Iwasada wrote for the October 2020 issue of Interface.

October 2020 Issue Interface AI Chip Encyclopedia & Power Research

Basic Knowledge and Experimental Research on AI Chips/AI Sticks/AI Boards This article summarizes the basic knowledge and experimental research on the notable AI chips, the AI sticks that can be retrofitted with these chips, and the AI boards integrated into development boards. For AI sticks, we introduce the classic Intel Neural Compute Stick 2 (Movidus Myriad X VPU) and Google Coral USB Accelerator (Edge TPU), along with an experimental article featuring the Orange Pi AI Stick Lite, which is sold at a shockingly low price using the Zhilifalcon Light Speeur SPR2801S. In the AI board section, we cover the basic usage and performance research using the latest GPU board, Jetson Xavier NX, and conduct comparative verification against Raspberry Pi 4 and Google Edge TPU boards. We also explore the potential of the Kendryte K210, which is generating buzz for its built-in AI chip based on RISC-V. Additionally, if you are someone who wants to try this in actual business or are already experimenting and facing challenges, please feel free to consult with Bee.

  • 企業:Bee
  • 価格:Other
  • Other Software

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Bee Iwazumi's writing for the April 2019 issue of Interface.

April 2019 Issue Interface: Maps and IoT

We are showcasing IoT use cases that integrate maps with the popular prototyping device M5Stack, which is based on the ESP32 microcontroller that supports WiFi and Bluetooth and costs 700 yen. We are conducting experimental research on a monitoring device using Ambient while wearing the M5Stack on the wrist like a smartwatch, accessing free WiFi available in the city, and displaying maps using GPS information. If you are someone who wants to try this in actual business or are already testing it and facing challenges, please feel free to consult with Bee.

  • 企業:Bee
  • 価格:Other
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Bee Iwazumi's writing for the April 2020 issue of Interface.

April 2020 Issue Interface Micro IoT Camera

As high-performance microcontrollers become more affordable, the ESP32, which features both Bluetooth and WiFi at just 700 yen, has gained popularity. We introduce implementation examples using the popular ESP32 combined with a camera (OV2640) to create network cameras like the TTGO T-Camera and M5Camera, available at a budget-friendly price of just under 2000 yen. We cover everything from monitoring notifications using a human detection sensor (AS312) and Slack to know-how for handling camera modules with the ESP32. We also provide foundational knowledge about setting up servers with microcontrollers and HTTP. If you're interested in trying this out in a real business setting or have already tried it and are facing challenges, feel free to consult with Bee.

  • 企業:Bee
  • 価格:Other
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Bee Mitani's writing for the November 2020 issue of Interface.

November 2020 Issue Interface Image Processing Program 100

We are publishing a collection of image processing programs that run on the M5Stack, which is equipped with an ESP32 microcontroller featuring built-in WiFi and Bluetooth, and has low cost and low power consumption, along with an LCD, battery, and microSD. While the ESP32 is low-cost, it also has limited memory, making it impossible to use the standard image processing library OpenCV. Therefore, we have created C++ programs that run on the ESP32, introducing various image processing algorithms. Image processing has become an essential technology for tasks such as enlarging, rotating, changing color tones and brightness, edge detection, and template matching. The image processing techniques included are: - Grayscale and binarization - Enlargement and reduction using nearest neighbor and bilinear methods - Image composition using alpha blending - Translation, rotation, and skewing using matrix operations - Frequency filtering using DFT If you are interested in trying this in a real business setting or have encountered challenges while already testing it, please feel free to consult with Bee.

  • 企業:Bee
  • 価格:Other
  • Other Software

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Bee Nakamura and Iwasada wrote for the April 2018 issue of Interface.

April 2018 Issue Interface: The Mechanism of AI Speakers

This article explains the mechanism of the popular AI speaker and introduces methods for creating your own Alexa using the classic Raspberry Pi, as well as how to create your own Google Assistant. Additionally, while Alexa and Google Assistant are designed to connect to the cloud, we also conduct experiments with a local voice recognition system called Julius, which operates without a cloud connection, to create a local smart speaker. If you are struggling with voice recognition, want to try it out, or are considering applications, we are here to help those who want to test it in actual business or those who have already tried it and are facing challenges. Please feel free to consult with Bee.

  • 企業:Bee
  • 価格:Other
  • Other Software

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