AIoT Intelligent Service Robot

(IOT - 009)

Learning about
- Robot Operating System (ROS) as a Linux OS
- Python programming in linux
- Machine Learning of Supervised (Linear Regression and Logistic Regression) ,unsupervised learning and Reinforcement learning
- AI related topics as ANN,DNN,CNN, Perceptron
- Tensor Flow
- Data Processing Packages as atplotlib , Pandas , Numpy.
- Text to speech and speech to text
- Voice Commands for robot driving
- Audio playback and recording
- Image processing through a robot's camera.
- Remote control of robot
- Motor Control of speed and direction (PWM plus control signals)
- Deep learning of robot’s driving
- Image processing with openCV

AIoT Intelligent service robot (IOT - 009)
- 1 X Ethernet Cable
- 2 X USB Cables
- 1 X Battery Charger
Hard copy user manual

Digital content (BI-01)
Optional Modules Pack Code (IOT-009.1)

A ready to run pre-built service robot with the required functions to utilize a service robot. Maximizing robot’s movement by using 4 omni wheels at the robot base. Included High resolution camera of 8 Mega pixels with a wide view angle. Included 7 inch 10 finger Capacitive Touch HDMI LCD of 800 X 480 pixels. Speech to text and vise versa through high quality digital microphone and speaker. Extensible through 4 additional Type A plugin modules holder for external sensor / actuator ,Displays plugin modules. Supported with Bluetooth, Wi-Fi, Ethernet communication for a variety of monitoring and control solutions. Provided by a high capacity battery for a long time operation. Supported by a 360 Degree LiDAR for surround area scanning

Software Specifications:
- Operating System:
  - ROS (Robot Operating System Based on Ubuntu Linux OS)
- Pre-installed Packages
  - CLI
    - Zsh : a shell designed for interactive use
    - Powerlevel 10K : a theme for Zsh
    - Tmux : a terminal multiplexer
    - Peco : an interactive data filter
    - Powerline: a statusline plugin for vim, and provides statuslines and prompts for several other applications, including zsh, bash, fish, tmux, IPython, Awesome, i3 and Qtile
  - Toolchain:
    - GCC: The GNU Compiler
    - JDK: includes tools for developing and testing programs written in the Java programming language and running on the Java platform
    - NodeJS: a JavaScript runtime built on Chrome's V8 JavaScript engine.
    - Python3: high-level, interpreted, interactive and object- oriented scripting language
    - Clang: provides a language front-end and tooling infrastructure for languages in the C language family
  - IDE:
    - Visual Studio: IDE for C++ development
    - neovim: hyperextensible Vim-based text editor
    - Geany: a powerful, stable and lightweight programmer's text editor
  - Connectivity:
    - MQTT: an OASIS standard messaging protocol for the Internet of Things (IoT)
    - BlueZ: Bluetooth stack, support for the core Bluetooth layers and protocols
    - Mtr: a network diagnostic tool
    - nmap: a command-line tool for network exploration and security auditing
    - iptraf: an ncurses-based IP LAN monitoring tool
    - samba: provided secure, stable and fast file and print services for all clients using the SMB/CIFS protocol
    - Blynk server: a platform with iOS and Android apps to control The Raspberry Pi over the Internet
  - Multimedia
    - PortAudio: audio I/O library.
    - SoX: sound processing program
    - OpenCV: a real-time optimized Computer Vision library
    - Google Assistant: Provide voice commands, voice searching, and voice-activated device control
    - NumPy: a comprehensive mathematical functions
    - Matplotlib: a comprehensive library for creating static, animated, and interactive visualizations in Python
    - Python AI
      - Jupyter Notebooks: a web-based interactive computing platform
      - NumPy: For comprehensive mathematical functions
      - Anaconda: For data science and machine learning
      - pandas: For data manipulation and analysis
      - Matplotlib: a plotting library for the Python
      - SciPy: For scientific computing and technical computing.
      - Gym: a collection of test problems
      - Scikit-learn: For machine learning with Python
      - Tensorflow: For machine learning and artificial intelligence
      - Keras: Provides a Python interface for artificial neural networks
      - Seaborn: For making statistical graphics in Python
    - Kit’s Library:
      - a Library for Kit’s modules ( Sensors, Actuators, Display )
      - Audio record,play,tone an sound meter
      - Google Assistant and streaming
      - ANN,DNN,DQN,CNN,Perceptron linear and logistic Regression.
- Hardware Specifications:
  - (Main Controller) Based on Raspberry Pi 4 Model B
    - CPU:
      - Broadcom BCM2711 Quad core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz
    - GPU:
      - Broadcom VideoCore VI
      - H.265 (4kp60 decode), H264 (1080p60 decode, 1080p30 encode)
      - OpenGL ES 3.1, Vulkan 1.0
    - RAM:
      - 4GB LPDDR4-3200 SDRAM
    - Wi-Fi
      - 2.4 GHz and 5.0 GHz IEEE 802.11ac wireless
      - (Dual band), backward compatibility to 802.11a/b/g/n
    - Bluetooth:
      - Bluetooth 5.0, Bluetooth Low Energy (BLE)
    - Ethernet:
      - Gigabit Ethernet 943 Mbps
    - Ports:
      - 2 x micro-HDMI 2.0 (up to 4Kp60 supported),
      - 4-pole stereo audio and composite video port,
      - 2 x USB 2.0,
      - 2 x USB 3.0,
      - 1 x USB-C,
      - Gigabit Ethernet,
      - Camera Serial Interface (MIPI CSI),
      - Display Serial Interface (MIPI DSI)
    - I/O:
      - GPIO,UART,I2C,SPI,3 Channels ADC
    - Storage:
      - Micro-SD card slot for loading operating system and data storage
    - Connected Blocks
      - 4 x Type-A Plug-in Modules Holder ( For Type-A Plug-in Modules )
      - GY-87 ( 3-axis Gyroscope + 3-axis acceleration + 3-axis magnetic field + air pressure ) sensor Type-A Plugin Module
      - Temperature/Humidity Type -A Plugin Module
      - Light Sensor (CDS) Type -A Plugin Module
      - LiDAR 360 degree
      - 8 Megapixels Camera based on Sony IMX219 Sensor
      - Touch HDMI LCD 7 Inch 800 X 480 Pixels
      - Microphone And Speaker Module
    - Communication: CAN Communication
  - Sub Controller Module:
    - Microcontroller:
      - ATmega 2560 @ 16MHz
    - Connected Blocks:
      - 4 X Sharp IR Sensors
      - 8 X Distance Sensors (Ultrasonic)
      - 4 X DC Motor Drivers
      - 4 X DC Motors
    - Communication:
      - CAN Communication

Microwave Motion Detection Sensor Type-A Plugin Module
Digital Thermopile (IR) Type-A Plugin Module
Flame Sensor Type-A Plugin Module
CO2 Sensor Type-A Plugin Module
Light Sensor (CDS) Type-A Plugin Module
PIR Sensor (PSD) Type-A Plugin Module
Dust Sensor Type-A Plugin Module
Laser Module Type-A Plugin Module
Pixel Display Type-A Plugin Module Module