AI Vision Perception Solution for Agricultural Robots Leveraging JETSON/RK3588 and FPGA

Crop Row Visual Navigation System

Scenario Requirement: A crop row visual navigation system is a critical technology for agricultural machinery to achieve autonomous navigation in the field. By using front and rear cameras to capture crop row images in real-time, and leveraging visual algorithms to quickly identify and track the centerline of crop rows, agricultural machinery can be guided to move precisely and autonomously along the crop direction. This is suitable for precision agriculture applications.

Product Application: Sienovo's Machine Vision GMSL Series builds cost-effective GMSL vision solutions with a lightweight design that can operate efficiently even on low-power embedded devices, ensuring uninterrupted signal transmission.

Agricultural Picking Vision Perception

Scenario Requirement: Agricultural picking robots need to perform high-precision, high-efficiency real-time identification and localization of fruit ripeness, type, spatial position, and occlusion in complex, unstructured field environments.

Product Application: Machine vision stereo cameras create cost-effective vision solutions. High-resolution cameras can capture subtle color and texture features of fruit skin, as well as minor occlusion details, thereby improving picking success rates and operational efficiency.