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BD Instruments

Category: Products

BD InstrumentsProducts

IoT Smart Server

In addition to the basic concept of IoT, it is also possible to learn to implement IoT remote control system in various ways. This product was developed to provide the broad knowledge and experience from the beginning to the completion of IoT field leading the future science and technology.

Features

  • Learn different ways to control sensor including basic control, remote control via wireless communication
  • Provides about 120 examples and programs
  • Control and experience about 30 kinds of sensors used in real life
  • Experience server building required in IoT
  • Experience Raspberry Pi and Linux
  • Learn about Bluetooth communication
  • Experience HTTP protocol and server/client communication
  • Learn the interface between programs through CGI
  • Experience a wide range of programming language such as C, HTML, PHP, and JavaScript, etc.
  • Provides training on web page composition via JavaScript
  • Provides Android-based HTTP interlocking application
  • Provides Android-based Bluetooth interlocking application.

Hardware Specifications

Software Specifications

AI IoT Smart Server

This is a product that enables learning not only the basic concept of IoT, but also IoT remote control system which is implemented in various ways and deep learning using TensorFlow. This was developed to provide a wide range of knowledge and experience from the start of the IoT field to the deep learning of artificial intelligence. You can learn IoT sensor control, remote communication and control using wireless network, server construction, face recognition, object recognition, facial expression recognition by using languages such as C, HTML, PHP, JavaScript, and Python in various environments.

Product Features

  • You can learn various sensor control method such as basic control and remote control through wireless communication.
  • You can control and experience over 30 different sensors used in real life.
  • Provides the experience of building a server as required by IoT.
  • Provides experience with Raspberry Pi and Linux.
  • You can learn about Bluetooth communication.
  • You can experience HTTP protocol and server / client communication.
    Experience in a wide range of programming languages including C, HTML, PHP, JavaScript, and Python.
  • Training on web page composition through JavaScript available.
  • Provides Android based HTTP interworking application.
  • Provides practical exercises for TensorFlow using Python.
  • Provides Deep Learning example using TensorFlow JS.
  • You can learn AI-based face recognition, object recognition, and facial expression recognition.

Hardware Specifications

Software Specifications

Training Contents

IoT Smart Health Lab

  • Application of Raspberry Pi-based IoT Gateway
  • Arduino-based sensor transmission and reception
  • Up to 13 bio signal measurements
  • Acquiring bio signal knowledge
  • 10.1 inch touch monitor application
  • Monitoring measured values on GUI (Graphical User Interface) via App and Web
  • Setting specific sensor value and sending the data through SMS and E-Mail

Product Overview

This is a healthcare practice equipment with IoT technology. It is capable of analyzing up to 13 types (11 basic types) of biomedical signals and transmitting or receiving the data through Wi-Fi or Bluetooth. It also can be remotely monitored from PC and Smart Phone through Hybrid Web.

Product Features

  • It is possible to learn about implementation and analysis of measurement algorithm based on principle of bio-signal.
  • Measurement of up to 13 sensors is available including 2 options of GSR and DUST in addition to the basic 11 sensors such as ECG, EEG, EMG+HHI, EOG, PCG, Respiration, NIBP, BT, SpO2, HR and Bio-impedance.
  • It is convenient to monitor measurement data using 10.1 inch electrostatic touch LCD.
  • Each sensor module has a rechargeable battery and can be linked with Wi-Fi and Bluetooth.
  • AVR MCU with Arduino is applied to the sensor module and the receiving module for more various exercises.
  • In addition to the basic 11 sensor modules, you can select and use additional modules depending on the learning purpose.
  • Measured sensor values can be monitored on PC and Smart Phone through Hybrid Web.
  • Provides SMS and e-mail service for specific sensor values by using alarm process and IFTTT.
  • Supports interface linked with Android and Arduino for comprehensive application practice.
  • Supports both on-board type and module type at the same time.

Hardware & Software Specifications

IoT Smart Server + (plus)

With IoT Smart Server+, you can learn how to collect data from various IoT sensors, store it in a file or database, and analyze it on high-performance edge devices running Linux-based Soda OS. Cloud-based speech synthesis and real-time image processing technology using voice commands and cameras enable high-quality IoT projects.

Product Overview

IoT Smart Server+ allows you to acquire the basic knowledge and to perform application project necessary for IoT application development, through various exercises such as development environment, sensor control, database, and multimedia on Soda OS based
high performance edge devices.

Soda OS is an IoT project-specific operating system that was selected and packaged with only the functions necessary for IoT programming, based on Debian Linux so that users can use IoT Smart Server + for IoT projects without any additional configuration.

Product Features

  • It consists of 30 kinds of sensor modules connected by high-performance edge servers and jumper cables, optimized for IoT application learning, maker and capstone design, and hackathon.
  • Provides a specially designed Pop library for the 30 sensor modules and Soda OS, which are high performance edge device operating environments.
  • Soda OS is a Debian-based distribution, with all the tools that Linux professionals love and open software for IoT applications, so they can be used immediately without building a separate system.
  • The high-level Pop library lets you implement real life ideas without complex hardware knowledge.
  • Soda OS supports automatic IP address assignment, distributed name resolution using mDNS, and network service publishing / discovery using DNS-SD.
  • It supports a wide range of languages including C/C++, Java, JavaScript, Node-Js, and more, including Python 3 and extension libraries such as numpy, matplotlib, pandas to extend to data science and AI applications.
  • It supports Google Cloud-based speech synthesis and voice command function and IoT application service using camera. You can learn Linux operations and Python programming, sensor control, and multimedia applications on a high-performance IoT edge server.

Hardware Specifications

Software Specifications

IoT Smart Artik

  • ARTIK’s differentiation compared to existing education
    – Opportunity to practice solution using IoT equipment and cloud
    – Advantages of instantly commercializing ideas
  • ARTIK 530 / ARTIK 053 Understanding the Development Environment
  • Suitable for EMBEDDED SYSTEM training
  • Understanding remote control through the cloud system
  • Sensor control and analysis using sensor data collection
    method and firmware
  • Powerful software for sensor monitoring
  • Understanding Android app linkage

Introduction

IoT Smart Artik is IoT educational training system based on SAMSUNG Artik Smart IoT Platform.

Features

Samsung ARTIK platform can be used in a wide variety of applications including hardware, software, cloud, application and big data analysis. IoT products that can not interact with different devices and services can not create high business value.
IoT SMART ARTIK supports the best hardware module and cloud service through the tools, applications and partner ecosystem of Samsung IoT platform, greatly shortening time to market.

Hardware Specifications

XNode Lite

Product Features

  • IoT connectivity application training equipment based on wireless personal network (WPAN)
  • By using the mesh network method, it can be used in large quantities in a wide range of areas such as wireless control and monitoring, and a wide range of communication is possible
  • Provides sensors such as GPS, IRTHERMO, IMU, and PIR in addition to the Basic Module
  • Provides 2100mA battery, LED for indicator, light sensor based on lux unit and temperature/humidity sensor for independent operation of sensor node
  • Sensor node supports interpreter-style Python 3 so that control programs can be easily and concisely written
  • Visual Studio Code-based integrated development environment for professional application development
  • Provides training contents for Python-based sensor nodes

Software Specifications

Hardware Specifications

Training Contents

XNode

Product Features

  • IoT connectivity application training equipment based on wireless personal network (WPAN) and low-power wideband network (LPWAN)
  • By using the mesh network method, it can be used in large quantities in a wide range of areas such as wireless control and monitoring, and a wide range of communication is possible
  • Provides sensors such as GPS, IRTHERMO, IMU, and PIR in addition to the Basic Module
    Sensor node can be selected between LoRa/Sigfox/Wi-Fi/Bluetooth (Node A) or Zigbee Pro/Bluetooth (Node B)
  • Provides 2100mA battery, LED for indicator, light sensor based on lux unit and temperature/humidity sensor for independent operation of sensor node
  • Sensor node supports interpreter-style Python 3 so that control programs can be easily and concisely written
  • Visual Studio Code-based integrated development environment for professional application development
  • Provides training contents for Python-based sensor nodes

Software Specifications

Hardware Specifications

Training Contents

XNode Plus

Product Features

  • IoT connectivity application training equipment based on wireless personal network (WPAN) and low-power wideband network (LPWAN)
  • Consists of high-performance edge server with integration of base station and network server, module type sensor node and expansion module
  • Edge server supports sensor node control and AI fusion programming in a web browser environment through the AIoT dedicated operating system Soda OS and Pop library
  • Edge server supports mDNS/DNS-SD, SSH, SFTP, SMB/CIFS, MQTT, and NX X Window protocols
    Sensor node can be selected between LoRa/Sigfox/Wi-Fi/Bluetooth (Node A) or Zigbee Pro/Bluetooth (Node B)
  • Provides 2100mA battery, RGB LED for indicator, light sensor based on lux unit and temperature/ humidity sensor for independent operation of sensor node
  • Sensor node supports interpreter-style Python 3 so that control programs can be easily and concisely written
  • AIoT dedicated operating system Soda OS and Pop library
  • Visual Studio Code-based integrated development environment for professional application development
  • Provides training contents for Python-based edge server and sensor nodes

Software Specifications

Hardware Specifications

Training Contents

XNode Prime

Product Features

  • IoT connectivity application training equipment based on wireless personal network (WPAN) and low-power wideband network (LPWAN)
  • Consist of high-performance edge server with integration of base station and network server, module type sensor node and expansion module
  • Edge server supports sensor node control and AI fusion programming in a web browser environment through the AIoT dedicated operating system Soda OS and Pop library
  • Edge server supports mDNS/DNS-SD, SSH, SFTP, SMB/CIFS, MQTT, and NX X Window protocols
  • Sensor node can be selected between LoRa/Sigfox/Wi-Fi/Bluetooth (Node A) or Zigbee Pro/Bluetooth (Node B)
  • Provides 2100mA battery, RGB LED for indicator, light sensor based on lux unit and temperature/ humidity sensor for independent operation of sensor node
  • Sensor node supports interpreter-style Python 3 so that control programs can be easily and concisely written
  • AIoT dedicated operating system Soda OS and Pop library
  • Visual Studio Code-based integrated development environment for professional application development
  • Provides training contents for Python-based edge server and sensor nodes

Software Specifications

Hardware Specifications

Training Contents

XNode Home

Product Features

  • IoT connectivity application training equipment based on wireless personal network (WPAN)
  • By using the mesh network method, it can be used in large quantities in a wide range of areas such as wireless control and monitoring, and a wide range of communication is possible
  • Provides an environment for building a smart home with devices used in real home appliances such as door locks, gas circuit breakers, gas detectors, fans, and LED lights
  • DC power is supplied and measured by the XNode Power board, and the measured usage can be monitored remotely
  • Provides sensors such as GPS, IrThermo, IMU, and PIR in addition to the Basic Module
  • The sensor node provides a 2100mA battery so that it can be operated independently, and also provides an LED for an indicator, and a light sensor and temperature/humidity sensor based on lux units
  • Provided sensor node supports interpreter-style Python 3 to write control programs easily and concisely
  • Visual Studio Code-based integrated development environment for professional application development
  • Provides training contents for Python-based sensor nodes

Software Specifications

Hardware Specifications

Software Specifications

Hardware Specifications

Training Contents

1. Components and Concepts of Sensor Network
2. Sensor Network Platform
3. Sensor Network Protocol
4. Sensor Network Development Environment
5. Basic Sensor Control
6. Extension Module Control
7. Zigbee Basic Communication
8. Zigbee Communication Extension
9. Zigbee and BLE
10. Sensor Network Application Project
Appendix
1. Visual Studio Code Add-on
2. Edge Server Initialization
3. Python

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