The platform is based on the Linux operating system and can use C language and Python language for course teaching and resource development. It is suitable for embedded systems and applications Teaching and practice of C++/Python programming, machine learning, deep learning, digital image processing, computer vision, speech recognition, intelligent robots, Internet of Things and other courses.
·Platform functions: embedded system and application Teaching and practice of C++/Python programming, machine learning, deep learning, digital image processing, computer vision, speech recognition, intelligent robots, Internet of Things and other courses;
·Platform hardware: 1 Edgeboard computing card, 2 STM32F407VET6 master chip core modules, 10 sensors, 2 cameras, 1 array microphone, 1 multi degree of freedom manipulator, 1 conveyor belt, 2 WiFi Bluetooth modules, 2 displays, 1 power adapter, 1 wireless keyboard and mouse, 1 model props;
·Core motherboard: Edgeboard computing card, processor: 4 cores A75@1.8GHz +4-core A55@1.8GHz , Memory: 4GB, LPDDR4x, AI calculation force: 3.2TOPs@int8 ；
·Co control main board: 2 STM32, ARM Cortex-M4 core, main frequency 168MHz;
·Sensors: 12 in total, 1 light intensity detection sensor, 1 infrared obstacle detection sensor, 1 laser ranging sensor, 1 temperature and humidity sensor, 1 heart rate blood oxygen sensor, 1 air quality sensor, 1 electromagnetic induction sensor, 1 inertial detection sensor, 1 sliding potentiometer, 1 millimeter wave sensor, 1 volume detection sensor, 1 speed measurement sensor;
·Camera: 1 depth camera: depth map resolution: 640x300@30fps , Color map resolution: 1920x1080@30fps , depth range: 25cm~100cm, one 300000 pixel RGB camera: resolution: 640x480, MJPG30 frame, YUY230 frames, all supporting USB2.0;
·Array microphone: 4 microphone arrays, 5m field voice capture, USB2.0 support, noise reduction, reverberation, voice activity detection, sound source positioning, beam forming, echo cancellation and other functions;
·Multi degree of freedom manipulator: 5-degree of freedom steering gear drives the manipulator, supporting UART communication;
·Conveyor belt: size: 290mm x 22.44mm x 107.29mm;
·WiFi module: 5G dual band WiFi module RM58S, supporting UART communication;
·Display screen: 1 17 inch LCD, 1 4.0 inch TFT LCD full-color display;
·Matrix keyboard: 4 * 3 matrix keyboard;
·DC motor: driven by AB phase encoder reduction motor module, reduction ratio: 1:90, maximum torque: 2.5Kgf.cm, size: 79.74mm x 34.99mm x 22.44mm, speed after reduction: 175 ± 2.5% rpm;
·System environment: Linux system Ubuntu 18.04;
·Power supply: 12V/6A;
·Test chamber size: 550mm x 400mm x 200mm;
·Course: Embedded and AI technology and application basic training course, theory+practice course, 72 hours in total, including course outline, teaching manual, experimental code, theory course video and practice course video, etc.
·Software: including software source code, etc.
