Description
An image recognition sensor equipped with a built-in deep learning engine. Despite its compact size, this sensor harnesses the power of a 30W wide-angle lens and a multitude of vision algorithms, enabling your robots to become more intelligent and autonomous. With the MU vision sensor at your disposal, you can construct a smart robot capable of adapting to unpredictable environmental events with suitable behaviors.
Leverage the MU vision sensor to effortlessly identify and locate a wide range of objects, including colors, balls, humans, and cards. The detected results can be conveniently output through UART and I2C interfaces. Remarkably, this sensor possesses the ability to process information locally, eliminating the need for a network connection. Additionally, parameter configuration and firmware updates for the module can be easily achieved via the onboard USB serial port. The sensor supports various communication modes, such as UART, I2C, and WIFI, ensuring compatibility with Arduino, Mixly, and micro:bit embedded platforms. Hence, regardless of your chosen development platform, you are wholeheartedly invited to explore the immense capabilities of this sensor.
The compact MU vision sensor unlocks a myriad of intelligent applications. Imagine a smart printing and scanning car robot or a basketball shooting robot—these are just glimpses of what you can achieve. Moreover, its applications extend far and wide, encompassing smart toys, AI teaching tools, maker products, and more.
Project: Arduino Face Tracking Robot
Project: How To Make DIY Arduino Traffic Sign Recognition Robot
Other Parts: Tracked Robot Chassis, Arduino Uno, Motor Driver Shield, 18650 Li-ion Battery - (From PowerBank )
Specification
- Processor: dual-core, 240MHz
- Camera: Omnivision ov7725
- Camera Resolution: 640x480
- Field of View: 90Deg (Diagonal line)
- 2 LED lights
- Dimension: 3.2x3.2x1.2cm/1.26x1.26x0.47”
- Data Output: UART/I2C
- Power Supply: 5V
- Detected Objects: people silhouette (above the waist)
