K2 relies on the deep learning of artificial intelligence, robot control and machine vision technology to provide innovative agricultural robot intelligent equipment for the planting industry, which is mainly used in fruit and vegetable picking, intelligent sorting, precise spraying, fruit bagging, asset inventory, precise weeding, flower thinning, fruits and vegetables, precise pollination, etc.
The imaging system is used to sense the surrounding environment, "see" the fruit crop, understand the fruit status and ripening in real time, and calculate the number of fruits.
By integrating machine vision and robotic arm control technology, robots can better adapt to the complex non-structural working environment of agriculture and complete the picking task through hand-eye cooperation like people.
The imaging system is used to sense the surrounding environment, "see" the fruit crop, understand the fruit status and ripening in real time, and calculate the number of fruits.
By integrating machine vision and robotic arm control technology, robots can better adapt to the complex non-structural working environment of agriculture and complete the picking task through hand-eye cooperation like people.
Through automatic analysis and synthesis of the algorithm, the location coordinate information of the birds in the space is obtained.
Based on the fruit and environment information feedback from the vision system, the manipulator plans the motion path in real time and guides the end actuator to the actual position of the fruit.
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