AI Sorter-Jono

AI Sorter-Jono

AI Sorter-Jono

Product catalog summary
Product Introduction
The AI sorter integrates four key technologies: deep learning, big data training, robotic arm control, and an industrial cloud platform. It is designed for self-learning, decision-making, route optimization, and quick material identification. It facilitates data interaction with other equipment in waste treatment plants, addressing challenges like disorderly input, piled material, uncertain material, and quality control. Main applications include C&D waste, MSW, mineral separation, and coal refuse management.
Working Principle
Materials are discharged onto a belt conveyor and pass through a camera box where images are captured. The AI system uses big data and image analysis to identify material types and calculates their location on the belt. The robotic arm then selects the shortest route to pick up and discharge materials accurately.
Technical Data
  • Model: AI-3-30
  • Lifting tool: Air sucker
  • Sorting capacity: 4000 times/hour
  • Highest belt speed: 1 m/s
  • Dimensions: 3000*2000*2800 mm
  • Working range: 1600*1600 mm
  • Sorting material types: 4
  • Lifting capacity: 1 KG
  • Maximum sorting size: 400 mm*400 mm
  • Power: 2 KW
  • Air consumption: 250 L/Min
  • Sorting accuracy: 90%
  • Noise level: 10-30 dB
  • Communication: Ethernet, RS-232, RS-485
  • Weight: 450 KG
  • Robot rated voltage: 230V a.c. 50/60 Hz
Features
The AI sorter becomes smarter over time due to self-learning capabilities. It collects, analyzes, and optimizes big data. It operates stably 24/7 and can be easily integrated into systems as a standard working unit. The technology is simplified for ease of use, requiring only one button to operate.
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Catalog excerpts

AI Sorter-Jono-1

PRODUCT INTRODUCTION AI SORTER This AI sorter integrates the four key technologies that are deep learning, big data training, robotic arm control, industrial cloud platform. It is capable of self-learning,decision making, best route calculating,and quick material identification. More importantly, it can achieve the data interaction with other equipment when applied in the waste treatment plant. In consequence, the difficulties such as disorderly input material, piled material,uncertain material, quality control can be well solved. The main applications are C&D waste, MSW, mineral separation, coal refuses, etc. ORKING PRINCIPLE When discharged onto the belt conveyor of the AI sorter, the material first goes through a camera box.By this device,the image of the material is captured by the camera. Meantime, the AI system of the material afterwards as long as it’s on the belt can distinguish the material types by its big data conveyor. Then the robotic arm is able to choose and image analysis ability. Knowing the speed of the shortest route to pick up the material and drop the belt, AI system also can calculate the location off at the right discharging area.

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AI Sorter-Jono-2

ECHNICAL DATA Model Lifting tool Sorting capacity Highest belt speed Dimension(L*W*H) Working range Sorting material types Lifting capacity Maximum sorting size Power Sorting accuracy Noise level Communication Weight Robot rated voltage FEATURES Simplify the high-end technology. One button to operate. It can collect the big data, analyse the data and optimize the data. Thanks to the self-learning. The longer time it works, the smarter it is. Stable operation for 7*24h As a standard working unit, it can easily integrated into a system

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*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.