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Open source hardware AI primary experiment box
Open source hardware AI primary experiment box

Open source hardware AI primary experiment box

Member Details

Shenzhen Scope Corporation Limited

Shenzhen,Guangdong,China

Manufacturer,Scientific Researcher,Engineering Contracting Company

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The open source hardware AI advanced experiment box is an integrated teaching equipment that integrates a 7-inch display, a variety of sensors and output modules. The experiment box supports python, C/C++ code programming, and has a built-in artificial intelligence development interface package. On the basis of the visual recognition function, the content of machine learning is added. Through the learning of the experiment box course, the knowledge of artificial intelligence in machine learning is improved, which is suitable for teachers and students of junior high school and high school.

Box1.jpg




The main function:




The open source hardware AI advanced experiment box is an integrated teaching equipment that integrates a 7-inch display, a variety of sensors and output modules. The experiment box supports python, C/C++ code programming, and has a built-in artificial intelligence development interface package. On the basis of the visual recognition function, the content of machine learning is added. Through the learning of the experiment box course, the knowledge of artificial intelligence in machine learning is improved, which is suitable for teachers and students of junior high school and high school.




The main parameters:




Operating system: Linux vvBoard OS desktop operating system, kernel version: kernel 4.4.159


Hardware parameters: 

CPU: Quad-core Cortex-A53 1.5GHz, 

MCU: 8bit Flash MCU, 16-32MHz, 

GPU: Mali-450MP2, 

DDR: 32bit, 2GB LPDDR3, eMMC: 32GB; 

display screen: 12.5 inch resolution 1366* 768; 

WIFI/BT: 2.4G+Bluetooth 4.0; 

integrated temperature and humidity, dot matrix, LED (RGB), digital tube, light sensor, steering gear, buzzer, ultrasonic, sliding rheostat, human infrared, microphone and more than 5 million pixels Camera; fully compatible with Arduino interface


Application software: Built-in Python3.5, Arduino IDE version 1.6.10, ArduBLock, Processing IDE 3.3.7.2, Jupyter 1.0.0, Scratch1.4


Built-in accessories: wireless keyboard + mouse, 7.6V 7000MA battery, 9V 2A adapter


Carton size: 420*340*85cm


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