QR Code-Recognizing Horticultural Robot and Big Data Generation System Using the Same

Horticultural Big Data Generation Robot via QR Code-Based Autonomous Navigation

This technology is a horticultural robot system that utilizes e-ink display-based QR codes placed within an environment. The robot uses dual zoom-capable cameras mounted on its front and rear to align with these QR codes, correcting its path for autonomous navigation. Simultaneously, it collects crop growth data via environmental sensors and cameras, transmitting this information to a server to build a comprehensive big data set.

Conventional guidance methods (magnetic or wired) involve high installation and maintenance costs and are difficult to adapt to changing work environments. Existing methods using printed QR codes are inefficient, as they require physical replacement of the prints whenever the path needs to be altered.

This technology uses e-ink displays to allow for dynamic updates to QR codes. It also employs a precision navigation mechanism that aligns two zoom cameras mounted on the robot along the same optical axis, enabling real-time path correction by aligning the front and rear QR codes in a straight line.

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Key Features:

• Horticultural robot that performs autonomous navigation by recognizing e-ink QR codes within horticultural facilities
• Environmental sensors that collect at least one type of data—temperature, humidity, light intensity, or CO2 levels—within the horticultural facility
• A primary camera for identifying and photographing crops to generate growth data, and secondary and tertiary zoom cameras for scanning QR codes
• A crop data server that aggregates the environmental and crop data collected by the horticultural robot to generate big data

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