升恒科技|机器视觉设备商|SHINE TECHNOLOGY|智能检测|新能源|机器人|智能机器人|

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Shengheng Technology relies on artificial intelligence deep learning, robot control and machine vision technology to provide innovative agricultural robot intelligent equipment for the planting industry. It is mainly used in vegetable and fruit picking, intelligent sorting, precise pesticide application, fruit bagging, asset inventory, precise weeding, Thinning flowers and fruits, precise pollination, etc.

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Core advantage

Artificial Intelligence Deep Learning Technology

Based on 3D vision and robots, it realizes fully automatic loading and unloading of workpieces on 4 sets of lathes, greatly reducing labor costs.

Robot hand-eye coordination technology

By integrating machine vision and robotic arm control technology, robots can better adapt to the complex unstructured working environment of agriculture and complete picking tasks through hand-eye cooperation like humans.

Artificial Intelligence Deep Learning Technology

Based on 3D vision and robots, it realizes fully automatic loading and unloading of workpieces on 4 sets of lathes, greatly reducing labor costs.

Robot hand-eye coordination technology

Multi-sensor fusion technology

Through automatic analysis and synthesis through algorithms, the position coordinate information of the fruit in space is obtained.

Robotic arm control technology

Based on the fruit and environmental information fed back by the visual system, the robotic arm plans the movement path in real time and guides the end effector to the actual position of the fruit.

Application scenario

Smart Fruit Picking Robot

In application scenarios such as fields/greenhouses/orchards, sensors are used for farmers to use intelligent cognitive and autonomous learning technologies such as machine learning to sense and analyze fruit coatings and surrounding environments to achieve high-speed real-time transmission of color, fruit shape, defects, etc. Comprehensive information is used to grade and sort fruits, and the seamlessly driven robotic arm can be widely used in fruit picking and precise sowing.

Intelligent grading and sorting of fruits

Use intelligent cognitive and autonomous learning technologies such as machine learning to grade and sort fruits based on comprehensive information such as fruit coloration, fruit shape, and defects.

Fruit and vegetable growth forecast

Through robot inspection, efficient and accurate machine identification, real-time attention to the growth of fruits and vegetables, and prediction of the output of the park's orchards

Early warning of crop diseases and insect pests

Establishing early warning models through multi-dimensional data greatly improves the identification rate and timeliness of key pests and diseases.