Bee List of Products and Services

We create smartphone and tablet applications that work in conjunction with embedded devices. We have experience developing smartphone applications that interact with BD/HDD recording and playback devices, as well as applications that play music content from smartphones or DLNA servers. Development achievements: - BD/HDD recording and playback device integration app - Content information retrieval and list display using DLNA, as well as playback control - Music playback app - Content retrieval via DLNA server integration - Playback on WiFi/Bluetooth speakers - CDDB/Gracenote → Retrieve and display music content titles and artist names using GracenoteSDK - Realm → Store music content in a database For specific development achievements, please inquire. Feel free to consult with Bee.

• Other Software

We support software development for demo units for exhibitions. As an example, we have developed software for a pet shampooing device. Using the Renesas RL78-G13, we designed and implemented control for the operation switches, LEDs, and the motor control for the shower pump. Development achievements: - Software development for a prototype of a pet shampooing device for exhibition purposes. For specific development achievements, please inquire. We encourage you to consult with Bee.

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We provide support for digitizing analog devices by creating software that enables digitalization, similar to a spring-type timer using a rotary encoder. For example, in the case of a rotary encoder, we create software such as: - OS-less software for PIC microcontrollers - Rotary encoder control - Operation state changes via a PUSH switch - LED control using a timer counter and processing to turn off the operation state/LED during a timeout For specific achievements, please inquire. We encourage you to consult with Bee.

• Other Software

We will fully support the creation of software with different operating systems, such as porting software that was running on Renesas RL78 (without OS) to ESP32 (FreeRTOS). Ported features: - Button control - LED control - Power supply detection from solar energy - Battery level detection - Communication with smartphones via BLE For specific porting achievements, please inquire. Feel free to consult with Bee.

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Design and implementation of an algorithm to evaluate the validity of results output by an engine that recognizes license plates from surveillance cameras, as well as the implementation of a web application that provides monitoring of camera footage and output results, and configuration functions for the recognition engine. Development achievements: - Cleansing process Design and implementation of an algorithm to evaluate the validity of the output from the recognition engine. - Monitoring function Implementation of a feature to confirm confirmed license plates and live stream camera footage. - Configuration function Implementation of a Webmin module to manage system startup, restart, status management, and various settings. For specific development achievements, please inquire. We encourage you to consult with Bee.

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Depending on the content to be ported, we will also make adjustments at the HAL layer and Java layer. Based on the kernel and lk, we will respond at the HAL layer and Java layer according to the content to be ported. Porting achievements: - Porting of PMIC (charging control part) from a higher model to a lower model (Marshmallow). - Porting of the LCD/touch panel/LED backlight control part due to the EOL of the LCD from a higher model to a lower model (KitKat). For specific porting achievements, please inquire. Feel free to consult with Bee.

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We have built an application system using Deep Learning that operates on a Raspberry Pi3 as a proposal for AI solutions for edge devices. At Embedded Technology West 2017 / the Kansai Embedded Technology Exhibition, we conducted a technical demo of a celebrity look-alike judgment app using PiCamera. Anticipating various future needs and versatility, we created it from scratch on AWS using a Deep Learning framework without relying on existing pre-trained models. We provide technologies and ideas that can flexibly adapt to and control the embedded devices envisioned by our customers. *For more details, please refer to the PDF document or feel free to contact us.

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We have built an application system using Deep Learning that operates on a Raspberry Pi3 as a proposal for AI solutions for edge devices. At Embedded Technology 2016 / Comprehensive Embedded Technology Exhibition, we conducted a technical demo of a blood type determination app using PiCamera. Anticipating various future needs and versatility, we created it from scratch on AWS using a Deep Learning framework without using existing pre-trained models. We provide technologies and ideas that can flexibly adapt to and control the embedded devices envisioned by our customers. *For more details, please refer to the PDF materials or feel free to contact us.

• Other Software
• IT Control and Services
• Monitoring and Control Equipment

At Bee Corporation, we develop various control software for home appliances, automotive devices, medical equipment, and industrial machinery. We provide system proposals and specifications tailored to our customers, along with a wealth of know-how related to software development. With our expertise in embedded software development and advanced AI technologies, we offer innovative solutions. 【Business Activities】 ■ Embedded Software Development ■ AI Innovation ■ Application Development ■ Cloud Services *For more details, please refer to the PDF document or feel free to contact us.

• Other Software
• IoT
• Order management system

We have built an application system using Deep Learning that operates on a Raspberry Pi3 as a proposal for AI solutions for edge devices. At Embedded Technology West 2019 / the Kansai Embedded Technology Exhibition, we conducted a demo using a depth measurement camera to simulate FaceID running on an embedded device. Anticipating various future needs and versatility, we created a unique learning model from a Deep Learning framework without using existing pre-trained models. This allows for flexible responses to various edge devices. The AI solutions proposed by Bee Co., Ltd. can flexibly respond to various edge devices. We provide everything from selecting devices and proposing ideas for services to controlling these devices with embedded technology and operational support. *For more details, please refer to the PDF materials or feel free to contact us.

• Other Software

"Beepon02(TM)" is an edge device that can be used simply by attaching it to the target you want to measure. By combining off-the-shelf products, it is possible to significantly reduce costs. You can customize it in various ways, such as using a small device in tight spaces or adding an LED in dark environments. 【Beepon02(TM) Features】 - Can be used by simply attaching it to the target or environment from which you want to obtain measurement results. - Provides a seamless service from edge AI devices that perform image analysis to cloud-based data management. - Achieves cost reduction by combining off-the-shelf products as much as possible, except for core technologies. *For more details, please refer to the PDF document or feel free to contact us.

• Other Software

We have been involved in the development of AV equipment for many years since our founding, and we strongly support the introduction of playback control functions into embedded devices. From container analysis to stream buffer management, we can propose specifications tailored to your development environment. Frameworks: GStreamer, OpenMAX, Video4Linux, ffmpeg, etc. Video Codecs: H.265, H.264, VP9, VP8, MPEG2, etc. Audio Codecs: AAC, AC3, WAV, MP3, etc. For specific embedded achievements, please contact us. We look forward to consulting with you at Bee.

• Other Software

We develop an open platform for connected cars through the AGL (Automotive Grade Linux) project, focusing on in-vehicle device-based systems and graphics for many years. We also provide high development capabilities in automotive software development. Achievements: - In-vehicle network middleware: Development of CAN/MOST communication middleware, a communication protocol used in automobiles, factory automation, and medical settings. - Graphics middleware: Development of window systems such as Wayland/Weston and DRM/KMS. - Video LSI control: Inter-process communication firmware. For specific embedded achievements, please inquire. We encourage you to consult with Bee.

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We are developing residential devices that enable the operation of in-home equipment such as air conditioners, lighting, and electric locks, as well as the visualization of energy data such as power consumption, by connecting ECHONET Lite compliant devices to a network.

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In recent years, there have been many products that utilize the mechanisms of robots in home appliances, and our company also supports the development of home robots such as ROS and SLAM. We have a track record of communication between SoCs based on Linux OS, communication between ICs, and power-saving control. Development achievements: - Cleaning robot For specific embedded achievements, please inquire. We look forward to consulting with you at Bee.

• Other Software

Due to the efficiency of development, there has been an increase in embedded development based on the Android platform. Our company, specializing in embedded systems, can provide comprehensive support not only for the development of general application components but also for the lower-level porting. Development achievements: - Porting work for Android embedded devices - Development of Android applications For specific embedded achievements, please inquire. We encourage you to consult with Bee.

• Other Software

We also support software development for use in elevators. Development achievements: - Porting due to version updates of microcontrollers For specific embedded achievements, please inquire. Feel free to consult with Bee.

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We will equip embedded devices with AI to create high added value as edge AI. Implementing AI in embedded systems is very challenging for weak embedded devices, but with our technological expertise, we will provide optimal AI solutions and achieve high added value. Development achievements: - Weight inference using AI in combination scales For specific embedded achievements, please inquire. We encourage you to consult with Bee.

• Other Software

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.

• Other Software

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.

• Other Software

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.

• Other Software

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.

• Other Software

♦ About BeeQ BeeQ allows for easy and low-cost anomaly detection using only a smartphone camera. ♦ How to Use BeeQ Take a few pictures of a normal inspection target with your smartphone camera and start learning from the captured images. Once learning is complete, simply point the camera at the inspection target, and it will automatically detect the target and display the judgment result as OK/NG in real-time. ♦ Features of BeeQ No need for a large number of images; just a few captures are sufficient. The inspection target and the OK/NG judgment settings can be customized according to your preferences. ♦ Technology of BeeQ Using deep distance learning, it enables inspection with just a few captures. ♦ Contact Bee Inc. in the following cases If you have requests for faster and more accurate anomaly detection, or if you want to conduct inspections offline, please contact us. We will develop software and edge devices tailored to your needs.

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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.

• Other Software

The edge AI system Beepon02, which can be easily integrated, has the following features: - It can be used by simply attaching it to the target or environment from which measurement results are desired. - It provides a seamless service from image analysis performed by edge AI devices to data management in the cloud. - Other than the core technology for AI processing, it combines off-the-shelf products as much as possible to significantly reduce costs. As a result, it achieves a low initial implementation cost.

• IoT

Bee Corporation is a company engaged in the development and sales of embedded software and computer-related devices. We provide one-stop cloud services that include device integration, such as order management systems and operation management systems that execute real-time dynamics management. [Achievements] ■ Launch of order management system *For more details, please refer to the PDF document or feel free to contact us.*

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• ERP (core system)

As a current global trend, the integration of hardware products with IoT, cloud connectivity, smartphone collaboration, and the use of AI for high value-added services is unavoidable. On the other hand, pursuing these trends while developing technology and nurturing talent within the company requires a long period and significant investment. In this advanced world, relying solely on in-house know-how is not feasible; moving forward, it is necessary to collaborate with companies that excel in these areas and adopt a multifaceted approach. We, Bee Corporation, provide software that supports hardware manufacturers as your partner in this situation. Would you like to build the future with us? The services offered by Bee range from traditional embedded development centered on embedded software to creating cloud backends essential for IoT devices, device integration using smartphones, and even edge AI utilizing cutting-edge machine learning techniques like deep learning.

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