Vision-Assisted BeiDou Automatic Driving System for Agricultural Machinery : Viewertech纬尔科技

Vision-Assisted BeiDou Automatic Driving System for Agricultural Machinery

Visual Navigation Boundary Recognition Crop recognition

Combining the high-precision positioning technology of BeiDou GNSS satellites with the vehicle automatic driving technology, the automatic navigation and driving system for agricultural machinery automatically controls the steering angle of the agricultural machinery and guides the agricultural machinery along the specified path by accurately measuring the position, heading and attitude of the agricultural machinery. With the addition of a vision module, it measures the offset of the operation path in real time and is applicable to the whole process of plowing, planting, management and harvesting. At the same time, it can transform manual agricultural labor into semi-automatic machine operation to reduce the driver’s labor intensity, reduce the driver’s technical requirements, reduce the phenomenon of heavy plowing and omission of plowing and thus improve the operational efficiency and land utilization and other effects.

visual orientation

satellite positioning

Straightness accuracy ±2.5cm

Auxiliary visual deviation correction

Quick Installation

Border identification

Crop identification

Signal Assurance

System Components

System Features

With dual visual and satellite positioning, automatic operation becomes more stable

By combining satellites with vision-assisted navigation, the system becomes more resistant to interference. This effectively improves the straight-line precision and stability during ultra-high-speed and ultra-low-speed operations.

The use of vision aids corrects deviations, ensuring the effectiveness of the row handover

Vision-assisted deviation correction ensures quick rectification of any displacement in the working row. This greatly minimizes alterations in the handover rows that might occur due to anomalies, thereby reducing losses for farmers.

Crop row recognition enables multiple operational methods

Utilizing AI cameras, the system identifies crop rows, enabling the machinery to track and follow them. This ensures efficient operations during tasks like mid-tillage, plant protection, and harvesting.

Crop row recognition enables multiple operational methods

Automatic boundary recognition enhances the safety of machine operators

The system automatically identifies ground boundaries, alerting the operator in advance. This helps prevent personal injuries and machinery damage due to fatigue. Additionally, the system facilitates automatic turnarounds upon recognizing ground boundaries.