K2 relies on the deep learning of artificial intelligence, robot control and machine vision technology to provide intelligent upgrading and transformation for animal husbandry, realize automatic, intelligent and information production of animal husbandry process, which not only improves production efficiency, but also ensures product quality.
The imaging system is used to sense the surrounding environment, monitor the real-time status of poultry and animals, predict diseases, control temperature and humidity, and count statistics.
Through the integration of machine vision and robotic arm control technology, robots can better adapt to the complex agricultural non-structural working environment, and complete the tasks of injection, feeding, cleaning and so on through hand-eye cooperation like people.
The imaging system is used to sense the surrounding environment, monitor the real-time status of poultry and animals, predict diseases, control temperature and humidity, and count statistics.
Through the integration of machine vision and robotic arm control technology, robots can better adapt to the complex agricultural non-structural working environment, and complete the tasks of injection, feeding, cleaning and so on 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 target and environment information fed back by the vision system, the manipulator planned the motion path in real time and guided the actuator to the specified working position.
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