WIFI Enabled Edge Computing Sensor
Specifically Designed for STEAM Education
WIFI Enabled Edge Computing Sensor
Specifically Designed for STEAM Education
BEFORE
AFTER
Color Recognition
Ball
Detection
Human
Sensing
Card Pattern Recognition
Motion gestures
Ambient light
Proximity
1.Connect the MU vision sensor to your robot’s main controller board via an empty UART or I2C port
2.Use the Morpx’s open source C/C++ library to setup and read data from the MU Vision Sensor
3.Write application on your main controller to process the vision sensor data.
4.Further integrate the MU vision sensor into your product’s hardware body.
MU Vision Sensor enables many innovative applications and lessons that can be used in STEM education, please download our Free white paper here.
DownloadIt is small, low power consumption, yet has 6X faster pricessing speed and a higher recongnition rate than last generation.
It has 3 communication modes:UART, I2C and WIFI. It can be controlled by Arduino and Microbit, and is supported by the following IDEs: Arduino, Makecode, Mueditor, Mixly, Mind+, mPython X. Besides continuous updates of its C, microPython library files are provided.
All its vision algorithms are processing locally, with no need of the network, and no worries about privacy issues.
It can be widely used in intelligent toys, AI educational kits, maker products and other applications.
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