Bee List of Products and Services

We create apps for smartphones and tablets that work in conjunction with embedded devices. We have experience developing smartphone apps that connect with BD/HDD recording and playback devices, as well as apps that play music content from smartphones or DLNA servers. Development achievements: - BD/HDD recording and playback device integration app - Content information acquisition and list display using DLNA, as well as playback control - Music playback app - Content acquisition through DLNA server integration - Playback on WiFi/Bluetooth speakers - CDDB/Gracenote → Acquiring and displaying music content titles and artist names using GracenoteSDK - Realm → Storing music content in a database For specific development achievements, please inquire. We look forward to consulting with you at Bee.

• Other embedded systems (software and hardware)

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 handled the design and implementation of control for 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.

• Other embedded systems (software and hardware)

We provide support for digitalization by creating software that digitizes analog devices, similar to how a spring-type timer can be adapted using a rotary encoder. For example, in the case of a rotary encoder, we create software such as the following: - 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 embedded systems (software and hardware)

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 - Detection of power supply from sunlight - Battery level detection - Communication with smartphones via BLE For specific porting achievements, please inquire. Feel free to consult with Bee.

• Other embedded systems (software and hardware)

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, along with configuration features 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 the identified license plate and live stream camera footage. - Configuration Function Implementation of a Webmin module for system startup, restart, status management, and various settings. For specific development achievements, please inquire. We encourage you to consult with Bee.

• Other embedded systems (software and hardware)

Depending on the content to be ported, we will also make adjustments to 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. We encourage you to consult with Bee.

• Other embedded systems (software and hardware)

We have built an application system using Deep Learning that operates on a Raspberry Pi 3 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 utilizing 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.

• Other embedded systems (software and hardware)

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 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 materials or feel free to contact us.

• Embedded system design service
• Other embedded systems (software and hardware)
• Embedded applications for mobile phones and PDAs

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, and we possess a wealth of know-how related to software development. With our cultivated embedded software development technology and advanced AI research, we offer innovative technologies. 【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.

• Software (middle, driver, security, etc.)
• EAI/ETL/WEB application server
• Embedded OS

We have built an application system using Deep Learning that operates on a Raspberry Pi 3 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 embedded devices. Anticipating various future needs and versatility, we created our own 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 accommodate various edge devices. We provide everything from support for the edge devices envisioned by our customers to the selection of devices and idea proposals for services, as well as the embedded technology to control these devices and operational support. *For more details, please refer to the PDF materials or feel free to contact us.

• EAI/ETL/WEB application server

"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. Various customizations can be made, 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 measurement results are desired. - Provides a seamless service from edge AI devices that perform image analysis to data management in the cloud. - Achieves low costs 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.

• Software (middle, driver, security, etc.)

We have been involved in the development of AV equipment for many years since our founding, and we strongly support the implementation of playback control functions in 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 inquire. We look forward to consulting with you at Bee.

• Software (middle, driver, security, etc.)

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.

• Software (middle, driver, security, etc.)

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 the network.

• Software (middle, driver, security, etc.)

In recent years, there have been many products that utilize robotic mechanisms in home appliances, and our company also supports the development of home robots such as ROS and SLAM. We have a proven track record in 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 encourage you to consult with Bee.

• Software (middle, driver, security, etc.)

Due to the high development efficiency, embedded development based on the Android platform is increasing, and our company, which specializes in embedded systems, can provide a wide range of 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.

• Software (middle, driver, security, etc.)

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

• Software (middle, driver, security, etc.)

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.

• Software (middle, driver, security, etc.)

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 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.

• Embedded Board Computers

This article explains the mechanism of the trending AI speakers and introduces methods to create 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 on local smart speakers using the local speech recognition system Julius, which does not require a cloud connection. If you are struggling with speech recognition, want to try it out, or are considering applications, we are here to help those who want to test it in real business scenarios or those who have already tried it and are facing challenges. Please feel free to consult with Bee.

• Embedded Board Computers

We are publishing a collection of image processing programs that run on the M5Stack, which is equipped with an ESP32 microcontroller that has built-in WiFi and Bluetooth, and features such as an LCD, battery, and microSD, all while being low-cost and low-power. Although the ESP32 is low-cost, it also has limited memory, which prevents the use of the standard image processing library OpenCV. Therefore, we are creating 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 out in an actual business setting or if you have encountered challenges while already experimenting, please feel free to consult with Bee.

• Other embedded systems (software and hardware)

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 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 basic knowledge about setting up servers with microcontrollers and HTTP. If you are interested in trying this out in a real business or if you have already tried it and are facing challenges, please feel free to consult with Bee.

• Other embedded systems (software and hardware)

♦ 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 targets and OK/NG judgment settings can be customized according to your preferences. ♦ Technology of BeeQ Using deep distance learning, it enables inspections 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.

• Image Processing Software

Basic Knowledge and Experimental Research on AI Chips/AI Sticks/AI Boards This article summarizes the basic knowledge and experimental research on notable AI chips, AI sticks that can be retrofitted with these chips, and AI boards that incorporate them 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 an astonishing price using the Zhilifalcon Light Speeur SPR2801S. For AI boards, 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 has an AI chip built into RISC-V and is generating a lot of buzz. If you are interested in trying this out in a real business setting or have already tried it and are facing challenges, please feel free to consult with Bee.

• Embedded Board Computers

The edge AI system Beepon02, which can be easily integrated, has the following features: - It can be used with a simple attachment to the target or environment from which measurement results are desired. - It provides a seamless service from image analysis performed by the edge AI device 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.

• Other embedded systems (software and hardware)

As a current global trend, the integration of hardware products with IoT, cloud connectivity, smartphone collaboration, and the use of AI for high added value is unavoidable. On the other hand, continuously pursuing these trends while developing technology and nurturing talent within the company requires a long period and significant investment. In this advanced world, it is not something that can be managed solely with in-house know-how; moving forward, it is necessary to collaborate with companies that excel in these areas and approach the market from multiple angles. We, Bee Co., Ltd., 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 essential cloud backends for IoT devices, device collaboration using smartphones, and even edge AI utilizing cutting-edge machine learning techniques like deep learning.

• Software (middle, driver, security, etc.)
• Other embedded systems (software and hardware)

Bee Corporation is a company engaged in the development and sales of embedded software and computer-related devices. In application development, we have experience in developing mobile applications related to home appliances and can leverage our technology in embedded software for mobile application development. 【Product Lineup】 ■Salon Bee ■Bitole ■Title Search for DIGA *For more details, please refer to the PDF materials or feel free to contact us.

• Software (middle, driver, security, etc.)
• Other embedded systems (software and hardware)
• Embedded applications for mobile phones and PDAs

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 dynamic management. [Achievements] ■ Launch of order management system *For more details, please refer to the PDF materials or feel free to contact us.*

• Software (middle, driver, security, etc.)
• Other embedded systems (software and hardware)
• Other production management systems

Bee Corporation is a company engaged in the development and sales of embedded software and computer-related equipment. We propose AI that connects situation hearing to innovation, not as a solution service, but as a means of innovation. *For more details, please refer to the PDF materials or feel free to contact us.

• Software (middle, driver, security, etc.)
• Other embedded systems (software and hardware)