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Products - EDU Market https://edu-market.net/shop/ Educational Labs & Instruments Mon, 16 Feb 2026 13:24:18 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://edu-market.net/wp-content/uploads/2023/02/Faveicon-64x62.png Products - EDU Market https://edu-market.net/shop/ 32 32 Micro:bit V2- an Educational & Creative Tool for Kids https://edu-market.net/everything/microbit-v2-an-educational-creative-tool-for-kids/ Mon, 16 Feb 2026 13:11:30 +0000 https://edu-market.net/?post_type=product&p=6519 Introduction Introducing the brand-new BBC micro: bit V2.0, a must-have for technology and STEM enthusiasts. Now available with improved features to the hugely successful predecessor board with over 4 million boards being sold worldwide. This powerful, pocket-sized computer will be loved by all that use it. Designed to teach kids coding and solve problems using technology. What

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Introduction

Introducing the brand-new BBC micro: bit V2.0, a must-have for technology and STEM enthusiasts. Now available with improved features to the hugely successful predecessor board with over 4 million boards being sold worldwide. This powerful, pocket-sized computer will be loved by all that use it. Designed to teach kids coding and solve problems using technology.

What is a micro:bit?

micro:bit is only half the size of a credit card. It is equipped with a 5×5 programmable LED matrix, two programmable buttons, accelerometer, electronic compass, thermometer, Bluetooth, new touch sensitive logo, microphone, speaker and other electronic modules.

differences between micro: bit V1.5 and V2.0

What are the new features of micro:bit V2?

– Built-in Microphone: Sense and react to sound with the built-in microphone and LED indicator

– Built-in Speaker: Play sound with the built-in speaker

– Touch Sensitive Logo: Transform the logo into a capacitive touch sensor

– Notched Edge Connector: Easier for crocodile clips and conductive thread

– Power Saving Mode: The board can be powered-down with batteries connected

– Power Indicator: A power LED shows whether the micro:bit is powered on or off

– More Computing Power

features of micro:bit V2

What are the differences between micro: bit V1.5 and new micro: bit V2.0?

the differences between currernt micro: bit and latest

What can the micro:bit be used for?

The micro:bit an educational & creative tool for kids can interact with various electronic components through alligator clips, supporting the reading of sensor data, control of servos and RGB light strips. It is capable of easily handling various programming-related teaching and development scenarios. The micro:bit can be used for writing electronic games, sound and light interactions, robot control, scientific experiments, wearable device development, and more.

Applications of micro: bit

How to get started with programming using micro:bit?

– Microsoft MakeCode

Microsoft’s MakeCode editor is the perfect way to start programming and get creating with the BBC micro:bit.

Microsoft MakeCode to program micro:bit

– DFRobot Mind+

Mind+ is a programming software for teenagers produced by DFRobot. It supports both graphical and code programming and provides support for over a hundred open-source hardware module libraries, while also allowing for the addition of custom libraries.

Mind+ to program micro:bit

ACCESSORIES

DFRobot has developed a series of accessories for micro:bit, designed to cater to advanced educational needs for micro:bit bbc.

1. Educational Kit

– BOSON Starter Kit for micro: bit

DFRobot’s Boson starter kit for micro:bit includes 8 well-selected modules, covering the most popular digital and analog sensors and actuators, supporting sound, light, and motion interaction.

2. Expansion Board

– IO Extender for micro:bit (An AI camera and sensor that brings AI vision within reach.)

This IO expansion board exposes all the IO ports of the micro:bit into accessible IO and IIC ports, facilitating the connection of sensors and various hardware.

– micro:Driver – Driver Expansion Board for micro:bit

This is an extension board designed specifically for micro:bit, featuring 9 GPIO interfaces, 4 motor drivers, and 8 servo interfaces, allowing for programming control of various types of motors, including stepper motors, servo motors, and DC motors.

– micro: Circular RGB LED Expansion Board

With 24 RGB LED beads, this accessory offers a multitude of creative possibilities, serving as a clock, timer, game device, and more.

– micro:Gamepad

A wireless gamepad with vibration motor, buzzer, and LED turns micro:bit into a programmable gaming console.

– Environmental Science Board for micro:bit

It integrates over 14 sensors in one board to easily discover natural science in the digitalized and real world.

3. Robot Categories

– micro:Maqueen Lite

Affordable mini STEM educational robot designed for micro:bit.

4. Artificial Intelligence + Internet of Things

– Gravity: Huskylens

An AI camera and sensor that brings AI vision within reach.

– Gravity: WiFi IoT Module

This module empowers your micro:bit with the ability to connect to the Internet.

– micro: IoT – micro:bit IoT Expansion Board

This cloud-shaped expansion board has the ability to transform your micro:bit into a versatile IoT device.

To learn more micro:bit accessories Unlock Creativity: micro:bit Accessories for Fun Projects.

micro:bit expansion board family

TUTORIALS

We provide a wealth of micro:bit course materials, including 7 sets and 67 lessons.

– BOSON starter for micro:bit

– Maqueen Plus V2 Getting started Tutorial

– Maqueen Mechanic Getting Started Guide

– Maqueen Plus Advanced Tutorial

– Study Pack of HUSKYLENS for micro:bit

– Huskylens Playground with micro:bit

 IoT Cloud Kit for microbit MakeCode Tutorial

wealth of micro:bit course materials

Applications

micro:bit applications

Specification

  • Processor: Nordic Semiconductor nRF52833
  • Memory: 512kB Flash, 128kB RAM
  • Interface: NXP KL27Z, 32kB RAM
  • Microphone: MEMS microphone and LED indicator
  • Speaker: on board speaker
  • Logo touch: touch sensitive logo pin
  • Edge Connector: 25Pin,4 dedicated GPIO, PWM, I2C, SPI and ext. power. 3 ring pins for connecting crocodile clips/banana plugs. Notched for easier connection.
  • I2C: Dedicated I2C bus for peripherals
  • Wireless: 2.4Ghz Micro: bit Radio/BLE Bluetooth 5.0
  • Power: 5V via Micro USB port, 3V via edge connector or battery pack. LED power indicator,Power off(push and hold power button)
  • Current available: 200mA available for accessories
  • Motion sensor: ST LSM303
  • Software: C++, Make Code, Python, Scratch
  • Size: 5cm(w) x 4cm(h)

Shipping List

  • micro: bit V2 x

Robotics Educational Kit for Schools in UAE – Ideal for STEM Labs and School Procurement Departments

  • Suitable for school tenders

  • Bulk supply available

  • Official quotation provided

  • Delivery across UAE and Syria

  • Support for Dubai, Ajman, Abu Dhabi and Sharjah schools

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AIoT TestBed Trainer https://edu-market.net/everything/aiot-testbed-trainer/ Fri, 22 Nov 2024 17:10:04 +0000 https://edu-market.net/?post_type=product&p=6510

Features

  • IoT test bed platform based on Open API that can test the interworking of smart home products
  • Divided into door, living room, and kitchen areas, and AI IoT Service for each area is supported
  • Consists of high-performance AIoT server, high-performance access point, IoT nodes (sensors and actuators), display, camera, and audio (microphone, speaker)
  • High-performance IoT server supports AI accelerated computation through CUDA GPGPU
  • GUI-based test bed operation monitoring through 43-inch 4K UHD large monitor including touch screen
  • Provides a large pixel display that can implement emotional lighting and real-time notification services
  • Supports various IoT connectivity through Gigabit Ethernet, Wi-Fi, Bluetooth, and ZigBee Provides high-performance digital microphones and speakers necessary for implementing AI-based voice command services Supports for deep learning-based image recognition services required to implement customized services
  • Soda OS and Pop library, the AIoT dedicated operating system
  • Interpreter-based C/C++ development environments optimized for programming beginners, including Python 3
  • A dedicated web browser-based learning environment for training Python 3 and C/C++ simultaneously on PCs and tablets
  • mDNS/DNS-SD based distributed name resolution, network service publishing and discovery support
  • Open Integrated development environment based on Visual Studio Code for professional application development
  • Provides comprehensive AIoT practical exercise contents in connection with existing AIoT educational equipment

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Training Contents

  • Lab Environment of AIoT Test Bed
  • Low Power Wireless Sensor Network Programming
  • IoT Sensor Control Programming by Voice Command
  • Smartphone Interlocking Programming
  • Cloud Programming
  • Face Recognition Programming Based on Deep Learning

 

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AIoT Home Trainer https://edu-market.net/everything/iot-home-trainer/ Fri, 22 Nov 2024 17:03:58 +0000 https://edu-market.net/?post_type=product&p=6504 Features
  • AI and IoT convergence training equipment using 2D model of living room of home
  • Main module supporting AI acceleration calculation, multimedia and various IoT sensors are integrated into the base board
  • The main module is selectable between a 128-core GPU supercomputer for edge devices or a Cortex-A72 quadcore processor with tensor processor unit
  • 4 inch TFT LCD with 800×480 resolution and 8M pixel high resolution camera
  • Provides Gigabit Ethernet, dual band Wi-Fi(2.4GHz, 5GHz) and Bluetooth 4.2 or 5.0
  • Digital microphones and speakers support cloud-based speech recognition and audio playback
  • 4 dedicated expansion interfaces support various IoT sensor modules
  • Positioning sensors and actuators by creating 2D models of living rooms in real homes to increase immersion
  • Soda OS, the exclusive AIoT operating system, and Pop library
  • Interpreter-based C/C++ development environments optimized for programming beginners, including Python 3
  • A dedicated web browser-based learning environment for training Python 3 and C/C++ simultaneously on PCs and tablets
  • mDNS/DNS-SD based distributed name resolution, network service publishing and discovery support
  • Open Integrated development environment based on Visual Studio Code for professional application development
  • Educational contents for IoT sensor control, multimedia and AI
  • Provides 8 types of IoT sensor modules connected to a dedicated expansion interface
  • Contains a supercomputer up to 21TOPS supporting all AI frameworks.

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Introduction:

Configuration and Practice Environment of AIoT Home
Python and Linux 101
IoT Application Technology
Sensor Control:
File and DB-Based Data Persistence
Audio Recording and Playback
Google Text-to-Speech Converter
Google Assistant and User Device Actions
Camera and Sensor Applications.

AI Technology:

Numpy for Fast Multidimensional Matrix Operations
Pandas for Time Series and Tabular Data Analysis
Matplotlib for Data Visualization
Supervised and Unsupervised Learning
Theory & Practice for Pop.AI-based Linear and Logistic Regression Algorithm
Theory & Practice for Pop.AI-based Perceptron
Theory & Practice for Pop.AI-based ANN, DNN, and CNN
Theory & Practice for Pop.AI & OpenAI DQN-based Reinforcement Learning
Understanding Tensorflow

 

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Electric Vehicle Charging Training Platform_Plug in Type https://edu-market.net/everything/electric-vehicle-charging-training-platform_plug-in-type/ Fri, 22 Nov 2024 16:42:03 +0000 https://edu-market.net/?post_type=product&p=6502 Feature

■Extracting plug-in electric vehicle charging process of the various sensor signals, input and output voltage sampling signal and ripple, current sampling signal and IPM protection signal, short circuit protection signal and other signals, Using an oscilloscope or multimeter to observe the amplitude and frequency characteristics of its waveform and changes.

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Specification

■ 3-phase full bridge rectifier module, CC / CP handshake module and protection module

■Input voltage : single phase 220 ± 10 Vac

■Rated current :16A

■Rated input power : 3.6KW

■Output voltage : the maximum allowable value of 600V, voltage error <1%, current error <5%

■Efficiency : 50-100% under load ≥85%

■Running the plug-in electric vehicle charging system The training station is divided into 3-phaseAC charging pile and 3-phase full-bridge rectifier vehicle charger, which can demonstrate 3-phase full-bridge rectification principle and working process, including 3-phase charging pile vehicle principle demonstration, 3-phase full bridge rectification process demonstration, Charging system handshake signal and process demonstration

Training Contents

■Understanding electric vehicle charging training system components and charging principle.

■Understanding electric vehicle charging training system charge current control process.

■Understanding electric vehicle charging training system charging control and charging connection

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Electric Vehicle Drive System Assembly and Connection Trainer https://edu-market.net/everything/electric-vehicle-drive-system-assembly-and-connection-trainer/ Fri, 22 Nov 2024 16:38:56 +0000 https://edu-market.net/?post_type=product&p=6494 Description:

■Real operation of the electric vehicle drive system, fully demonstrated it composition and process.

■ The training table is equipped with electric vehicle instrumentation, real-time display power transmission process, speed, voltage, temperature. ■ The real and operable electric vehicle drive system assembly and connection trainer, students can conduct the connection training by the connection plug. Students can clearly recognize the structure and working process of the system by the connection training. Students can also test and analyze each terminal with the digital multimeter. Conducive to the teacher's teaching and students' understanding.

■ The teaching panel is equipped with exclusive detection terminals, which can detect the electrical signals such as voltage and current , of the circuit

 

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Specification:

■ Composition : Motor, motor controller, high-voltage power battery pack, DC-DC converter, on board charger, charging contactor, discharge contactor, ignition switch, gear shift lever, accelerator pedal, monitoring display, charge and discharge switch , Brake switch, emergency stop button, fuse box, brake indicator, movable bench, ..

■Equipped with electronic throttle control device, can facilitate electric vehicle drive system acceleration and deceleration Equipped with power main switch, turning parts protective cover and other installation protection device .

■Size : 1,495 *672 *1,755 mm

■Operating voltage : AC 220V, DC 12V/78V components on the panel. By using connectors(plugs) and wires, it can be assembled into a complete circuit system.

■ The teaching panel adopts 4mm thick high-grade aluminum-plastic board that is corrosion-resistant, blast-resistant, pollution-resistant, fire-proof, and moisture-proof. The surface is treated with a special process spraying primer; the panel is printed with a color circuit that never fades. Students can understand and analyze the working principle of the EV drive system by compare circuit diagrams and real objects.

■ The base frame of the equipment is built with 40mm × 40mm integrated aluminum alloy profiles, which is resistant to oil and corrosion and easy to clean. It is embedded with aluminum-plastic plates for support and sealing. The tabletop is paved with color high-density composite plates, and easy to move with the self-locking caster

 Training Contents

■ Low-voltage battery test(voltage)

The measurement of the shift switch

The measurement of the brake switch

The measurement of the fuse box

The measurement of the Ignition switch

The measurement of the Accelerator pedal

The measurement of the charge/discharge switch

The measurement of the Instrument Cluster

The measurement of the Charging and discharge contactor

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Hybrid Wind & Solar Energy Trainer https://edu-market.net/everything/hybrid-wind-solar-energy-trainer/ Fri, 22 Nov 2024 16:10:49 +0000 https://edu-market.net/?post_type=product&p=6485 (Wind and Solar Hybrid System) is composed of Solar Panel, Battery Bank Module, MPPT Solar Charging Controller Module, DC-AC Inverter Module, Grid-tie Inverter Module, Wind Generator Set, Wind Energy Monitor Module, Three-phase Rectifier Module, Wind and Solar Hybrid Controller Module, Load Module and Meters. By means of combining all these control systems, a teaching platform for implementation of the wind power, solar power and hybrid experiments is presented. It can help students understand the theory of on-grid and off-grid solar power, wind power generation system, hybrid system and further create practical applications.

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Features:

  • The software can display and store the data.
  • Using the digital meter, the user can observe the current operation status of the system.
  • All the input and output terminals are adopting the safety plugs. Users can implement the experiments with the connecting wires easily and safely.
  • Equipped with the Polarity reverse protection to avoid the modules being damaged due to the wrong input of inverse power.
  • Adjustable light source for the sunlight intensity

Adjustable solar panel, simulating the situation of the sunlight irradiation from different angles.

Training Content:

1- Solar Power Generation System Manual

Conversion test of solar photovoltaic energy

2. Solar cell characteristic curve test

3. The influence of temperature on solar cell

4. Solar cells affected by different light angles curves

5. The efficiency and maximum power of solar cell

6. Solar cells generation-off-grid

7. Solar cells generation-streetlight

8. Solar cells generation-grid-tie

2- Wind Power System Manual

1. Wind speed experiment of a wind turbine

2. Open circuit and loading experiment of wind turbine

3. Wind energy utilization factor of wind turbine

4. Power curve experiment of wind turbine

5. Wind power generation-off-grid

6. Wind power generation-grid-tie

 

3- Scenery Complementary Laboratory Manual

1. The efficiency of DC-AC inverter

2. The efficiency and Islanding effect of grid-tie inverter

3. Wind and solar hybrid system-off-grid

4. Wind and solar hybrid system-streetlight

5. Wind and solar hybrid system-grid-tied

Accessories

1. Experiments Manual

2. Connection Leads and Plugs : 1set

3. CD : software

4. USB to RS-485 Converter

5. LED Bulb : 12V DC, 7W

6. Light Bulb : 110V AC or 220V AC, 20W

7. Light Bulb : 110V AC or 220V AC, 40W

8. Rack Frame (KL-89003)

 

 

System Requirement

  1. PC : 1GHz or faster 32-bit (x86) or 64-bit (x64) processor,

1GB RAM, 1GB more free disk space

  1. OS : Windows XP / Vista / 7 / 8 / 10

Digital Multimeter

DC Power Supply (output voltage : 0~±30V, output current : 6A)

Software:

HIGHLIGHTS:

  • Simulation of a Solar System and Wind System.
  • Software to monitor, save data and use in researches.
  • User-Friendly.
  • Reasonable – Cost.
  • Easy to Use.
  • Comprehensive Curriculum Covering Various Basic Aspects of Solar Energy, Energy Storage and Wind Energy.

 

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AI Autonomous Driving Vehicle Training Equipment AutoCar III G https://edu-market.net/everything/ai-autonomous-driving-vehicle-training-equipment-autocar-iii-g-2/ Fri, 22 Nov 2024 15:15:10 +0000 https://edu-market.net/?post_type=product&p=6482 1- AI Deep Learning platform of NVIDIA.
2- Motor, encoder, and sensor control with a controller.
3- IoT connectivity applications
4- DToF lidar for SLAM.
5- Supports CUDA-based PyTorch and Tensorflow artificial intelligence framework
6- Supports Blockly.
7- Supports ROS2

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  • On-Device AI Autonomous Driving Vehicle Training Equipment
  • High-performance on-device AI platform of NVIDIA is adopted for the Brain Board
  • Built-in high-resolution wide-angle camera for deep learning-based autonomous driving practice
  • Built-in 9-axis high-precision IMU sensor for path tracking and vehicle posture control
  • Built-in high-precision serial servomotor for more accurate steering control
  • Built-in DC motor with encoder and high-efficiency dual motor driver to increase driving accuracy
  • Motor, encoder, and sensor control with a controller equipped with a high-performance MCU for precise control of the driving unit
  • Connect brain board and controller with highly reliable CAN FD communication
  • Built-in Gigabit Ethernet, dual-band Wi-Fi, and Bluetooth for IoT connectivity applications
  • Built-in digital microphone and speaker for voice recognition and audio playback
  • Built-in power path management circuit enabling practice even while the battery is charging
  • Indoor or indoor/outdoor DToF lidar for SLAM and path planning applications
  • Selectable sensor pack with built-in breadboard to use various IoT sensor modules
  • Selectable touch display to implement GUI-based user interface
  • Provides high-level Pop Library to help focus on implementing autonomous driving
  • Supports autonomous vehicle applications based on robot standard middleware ROS2 and Pop Library
  • Supports CUDA-based PyTorch and Tensorflow artificial intelligence framework
  • Supports web browser-based Google block coding platform (Blockly)
  • Supports pre-set integrated development environment based on Visual Studio Code for professional application development
  • Provides learning contents for self-driving cars based on deep learning
  • Operation Program

    List Specifications
    Linux OS Desktop X-Server, Openbox, LightDM, Tint2, blueman, network-manager, conky
    CLI Zsh, Tmux, Peco, powerlevel9k theme, Powerline fonts, Powerline fonts
    Tool Chain GCC, JDK, Node JS, Python3, Clang
    Connectivity Mosquitto(MQTT), Bluez, mtr, nmap, iptraf, Samba, Blynk Server, Remote Desktop Server
    Multimedia portaudio, sox, OpenCV 4, Google Assistant
    Data Science & AI Python3, Numpy, Matplotlib, sympy, Pandas, Seaborn, Scipy, Gym, Scikit-learn, tensorflow, Keras
    Middleware ROS2, Rviz2, RQt, ament, RTPS, Fast DDS, TF2
    Pop Library Output Object Led, Laser, Buzzer, Relay, RGBLed, DCMotor, StepMotor, OLed, PiezoBuzzer, PixelDisplay, TextLCD, FND, Led Bar
    Input Object Switch, Touch, Reed, LimitSwitch, Mercury, Knock, Tilt, Opto, Pir, Flame, LineTrace, TempHumi, UltraSonic, Shock, Sound, Potentiometer, Cds
    SoilMoisture, Thermistor, Temperature, Gas, Dust, Psd, Gesture
    Multimedia AudioPlay, AudioPlayList, AudioRecord, Tone, SoundMeter
    Voice Assistant GAssistant, create_conversation_stream
    AI Linear Regression, Logistic Regression, Perceptron, ANN, DNN, CNN, DQN, Object Follow, Track Driving, YOLO
    PC linkage development environment Jupyter Lab Python3 and Cling support, IPython Widgets, Terminal support, Pop Library support
    Visual Studio Code Insiders Remote SSH, Python3 and Debugging support, Terminal support, Pop Library support

    Block-Based Programming

    Training Contents

    DDS/RTPS Network-Based Autonomous Driving Vehicle Control in ROS2 Environment

    • WSL2-Based Linux Development Environment
    • Understanding Python Syntax for ROS2
    • Understanding Network Programming for ROS2
    • ROS2 Installation and Environment Configuration
    • Understanding Node, Topic, Service, and Parameter Action
    • ROS2 Build Environment
    • Publisher and Subscriber Nodes
    • Services and Customized Interface
    • Actions and Multi-Node
    • Launch and Multi-Execution
    • Advanced ROS2

    Deep Learning-Based Autonomous Driving Technology

    • WSL2-Based Linux Development Environment
    • Supervised Learning and Unsupervised Learning
    • Linear Regression and Logistic Regression
    • ANN, DNN, CNN Basics
    • Understanding Machine Learning Framework
    • High Speed Multidimensional Matrix Library
    • Time Series, Table Data Analysis Library
    • Data Visualization Library
    • Overview of Autonomous Driving Technology
    • Basic Driving and Remote Control
    • Collision Prevention and Follow Object
    • Transfer Learning
    • Advanced Autonomous Driving

    Layout

    Components

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    AI Mavin https://edu-market.net/everything/ai-mavin-ii-2/ Fri, 22 Nov 2024 15:11:05 +0000 https://edu-market.net/?post_type=product&p=6478 1- Embedded Linux System.
    2- Linux Kernel API.
    3- Image Processing

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    Product Features

    • User circuit configuration is possible through a breadboard, and application sensor modules are provided to integrate with the ARM Cortex-M processor
    • High-resolution dual CSI camera with adjustable angle to enable image processing and deep learning-based vision processing learning is provided
    • ARM Cortex-A based high-performance embedded system training Equipment for Linux-based device driver implementation and application
    • Main module is an edge supercomputer with a built-in GPU of up to 21 TOPS level. Applications support popular AI frameworks such as TensorFlow2, PyTorch, Caffe/Caffe2, MXNet, Keras, etc.
    • Integrated configuration of main module that supports CUDA artificial intelligence acceleration calculation, speaker, digital array microphone, camera, high-precision environmental sensor, and breadboard
    • Gigabit Ethernet, dual-band Wi-Fi, and Bluetooth for IoT service to support PLC equipment and OPC-UA communication
    • Support for MQTT-based IoT connectivity, OpenCV-based image processing, and QT-based GUI practice in conjunction with device driver
    • Support Xeus-python and Cling interpreter for aarch64 and VSCode-based IDE to
      enable learning C/C++ and Python 3

    Training Content:

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    AIoT SerBot G https://edu-market.net/everything/aiot-serbot-g-2/ Fri, 22 Nov 2024 15:07:19 +0000 https://edu-market.net/?post_type=product&p=6476 1- C/C++, Python3.
    2- Supporting all popular AI frameworks.
    3- Lidar and sensors connectivity.

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    Product Features

    • AI application practice equipment based on indoor service robot platform
    • Main processor is GPU supercomputer platform for edge device
    • 7-inch touch display with 1024×600 resolution and 8M pixel 160° wide-angle camera
    • Gigabit Ethernet, dual-band Wi-Fi (2.4GHz, 5GHz), and Bluetooth 4.2
    • Voice recognition and audio play through digital microphone and speaker
    • Supports various IoT sensor modules through four exclusive expansion interfaces
    • 3-axis omni wheel to maximize the movement efficiency and minimize the turning radius
    • Multiple PowerPath blocks allowing to practice even while the battery is charging
    • Robot standard middleware ROS2 and Pop library are provided
    • Supports CUDA-based PyTorch and Tensorflow artificial intelligence framework
    • Supports web browser-based Google block coding platform (Blockly)
    • Supports a public integrated development environment based on Visual Studio Code for professional application development
    • Service robot learning content based on artificial intelligence and deep learning is provided

    Software Specifications

    Training Contents

    1. Artificial Intelligence and Autonomous Driving
      • 1.1. Components of Autonomous Driving
      • 1.2. Autonomous Driving Overview
    2. Environment for Experiment
      • 2.1. AIoT SerBot-G
      • 2.2. Communication between PC and AIoT SerBot-G
      • 2.3. Development Environment
    3. Control AIoT SerBot-G
      • 3.1. 3WD Omni Wheel Moving Device
      • 3.2. 9DOF IMU Sensor
      • 3.3. Ultrasonic Sensor
      • 3.4. Psd Sensor
    4. CAN Protocol
      • 4.1. CAN Network
      • 4.2. CAN Communication
      • 4.3. CAN Communication in Linux
      • 4.4. Example of CAN Protocol Application
    5. Moving Device Library based on CAN Communication
      • 5.1. Start Library
      • 5.2. Moving Device Control Library based on CAN Communication
      • 5.3. Implement Sensor Action and Broadcast Reception
    6. MQTT
      • 6.1. MQTT Standard
      • 6.2. MQTT Broker and Client
      • 6.3. Topic
      • 6.4. Session
      • 6.5. MQTT Development Environment
      • 6.6. Remote Control of MQTT Moving Device
    7. LiDAR
      • 7.1. LiDAR Sensor
      • 7.2. LiDAR Control
      • 7.3. Avoidance Driving using LiDAR
    8. Artificial Intelligence
      • 8.1. Machine Learning and Perceptron
      • 8.2. Neural Network and Learning
      • 8.3. Machine Learning Framework
    9. Autonomous Driving
      • 9.1. Vision Processing
      • 9.2. Deep Learning and Convolutional Neural Network
      • 9.3. Lane Recognition based on Deep Learning
      • 9.4. Object Detection and Moving Object Control

    Appendix

    • A. Flame Sensor
    • B. PIR Sensor
    • C. ECO Sensor
    • D. CO2
    • E. Dust Sensor
    • F. Thermopile Sensor
    • G. Micro Wave Sensor
    • H. Peripheral
    • I. Pixel Display

    Layout

    Components

     

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    DE25-Standard Development Kit https://edu-market.net/everything/de25-standard-development-kit/ Mon, 18 Nov 2024 08:10:53 +0000 https://edu-market.net/?post_type=product&p=6470 DE25-Standard - The newest generation dev. kit for Altera ® University Program! 

     

    Designed to address the applications requirements for digital logics, embedded systems, and robotics, the DE25-Standard development kit takes advantage of the Altera®  Agilex™ 5 SoC FPGA with 138K LEs to deliver 2.5x performance breakthrough and advanced feature sets such as 1GB DDR4 32-bit data bus, 64MB SDRAM, 8-channel ADC header, GPIO header, an HSMC high-speed connector, and black and light mini LCD, etc. A rich set of input and output features, such as robust switches, LEDs, seven-segment displays, and commonly-used I / O interfaces are included to meet the needs of teaching and experiments.

    In addition, the DE25-Standard is armed with the advanced HDMI output port (1080P), a two-lane MIPI CSI / DSI connector for camera and display, and a composite RCA jack for surveillance camera. Developers can leverage the AI tensor block on the Agilex™ 5 FPGA, the MIPI CSI / DSI connector, HDMI output, and the composite RCA jack on the DE25-Standard to develop AI-related applications such as video processing and computer vision.

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