Precision spray robot

The precision spray robot consists of a chassis system, a vision system, a variable spray system, and a navigation system. While the car is moving, the dual 3D cameras dynamically acquire RGBD picture information of the trees to be sprayed on both sides, and use deep learning algorithms to identify the density and distance of the spraying objects. Based on the recognition results and vehicle speed, the switching flow rate of the nozzles is calculated and the spraying parabola angle of each nozzle is calculated. , and controls the motor to adjust its attitude in real time, and finally achieves accurate target spraying based on prediction of the car's operation process.

Parameters of crawler precision spray robot

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Product Features

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· Precision spray system

Deep learning and 3D algorithm technology identify the density and distance of spraying objects, realize the positioning and identification of work objects, calculate the switching flow rate of the nozzles based on the recognition results and vehicle speed, easily calculate the spraying parabola angle of each nozzle, and control the motor Adjust posture in real time to achieve precise spray tasks while the robot is driving.

· Intelligent environmental perception and autonomous obstacle avoidance

Through continuous scanning, the circumferential 360° radar can detect the operating environment and obstacle information in advance, and timely adjust the walking strategy according to the environment to achieve autonomous obstacle avoidance.

· Multi-terrain operations and navigation

In view of the diversity of agricultural terrain and materials, a variety of crawler, wheeled or track walking systems and driving methods are provided to meet the requirements of different scenarios.

Application scenarios

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Venue type    Fruit and vegetable picking scene in orchard	Types of fruits and vegetables    Single-fruit tomatoes, bunch tomatoes, grapes, cucumbers, strawberries, oranges, kiwis, etc.