AIoT Intelligent Service Robot
(IOT108)
- Learning about
- a Linux operating system
- Python programming in linux
- C/C++ programming
- 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 Matplotlib, 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 (IOT108)
- 1 X Battery Charger
- Hard copy user manual
- Digital content (BI01)
- Optional Modules Pack1 (IOT108.02)
- Optional Modules Pack2 (IOT108.03)
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 1920×1080 pixels with a wide view angle. Included 7 inch 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:
- Linux based OS (a Debian-based operating system)
- 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 recording, play, tone, and 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 Code: (IOT108.01)
- 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 )
- +5V, +3.3V, GND
- GY-87 ( 3-axis Gyroscope + 3-axis acceleration + 3-axis magnetic field + air pressure ) sensor Type-A Plugin Module
- 4 x Type-A Plug-in Modules Holder ( For Type-A Plug-in Modules )
- Temperature/Humidity Type -A Plugin Module
- Light Sensor (CDS) Type -A Plugin Module
- LiDAR 360 degree
- 1920 x 1080 pixels Camera
- Touch HDMI LCD 7 Inch 800 X 480 Pixels
- Microphone and Speaker Module
- CPU:
- Communication:
- CAN Communication
- Sub Controller Module#1:
- Microcontroller:
- ATmega 2560 @ 16MHz
- Connected Blocks:
- 4 X Sharp IR Sensors
- 4 X Distance Sensors (Ultrasonic)
- Communication:
- CAN Communication
- Sub Controller Module#2:
- Microcontroller:
- STM32 Arm Cortex M3
- Connected Blocks:
- 4 X DC Motor Drivers
- 4 X DC Motors with encoders
- Communication:
- UART Communication
- Microcontroller:
- (Main Controller) Based on Raspberry Pi 4 Model B Code: (IOT108.01)
- Operating System:
- Microwave Motion Detection Sensor Type-A Plugin Module
- Digital Thermopile (IR) Type-A Plugin Module :
- Temperature range: -40 to 125 OC
- Object temperature: -70 to 380 OC
- Measurement resolution: 0.02 OC
- 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 (OLED) Type-A Plugin Module
- Analog Input Module: Interface I2C
- RGB LED Module: Interface Digital
- Switch Module: Interface Digital
- TPHG Sensor: (Interface I2C)
- Temperature range: -40 to 85C
- Humidity range: 0 to 100%r. H.
- Pressure range : 300 to 1100 hPa
- VOC measure: Ethane, Ethanol, Acetone, Carbon Monoxide, Butadiene, Methyl.
- Light (illuminance) Sensor Module: (Interface I2C)
- Range: 0 to 120000 Lux
- TOF Sensor Module: (Interface I2C)
- Rang: 3 cm to 2 m
- Eye Safe: Class 1 laser device compliant with standard IEC 60825 - 1:2014 - 3rd Edition
- Gesture Sensor Module (Interface I2C)
- Detection distance: 10cm Max.
- Can detect up to 15 gestures
- Proximity Sensor Module: Interface Digital