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E-mail
zhangjun@onyxepi.com
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107, North Building, Rainbow Building, No.11 Shangdi Information Road, Haidian District, Beijing
Product Categories
Beijing Anqi Intelligent Technology Co., Ltd
AI sorting robot price
NegotiableUpdate on 03/10
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Overview
The AI sorting robot is used for AI garbage recognition and is a new product specially developed for the Chinese market. The high-speed modular series has the characteristics of easy installation and implementation, with a maximum weight of 10kg and a maximum width of 300mm. It is flexible, reliable, and cost-effective.
Product Details
AI sorting robot used for AI garbage recognition
With the progress of society, the problem of garbage disposal has become increasingly prominent, and traditional landfill and incineration are no longer suitable for the requirements of the times. Therefore, the improvement of garbage disposal technology directly affects people's actual quality of life. The accuracy of garbage classification and the degree of waste resource utilization are indicators for testing garbage treatment. AI sorting robots are a common equipment in the garbage processing industry, which work by picking different types of materials to different locations to achieve intelligent classification of garbage. Intelligent picking robots and Cartesian sorting robots are common AI sorting robots.
With the progress of society, the problem of garbage disposal has become increasingly prominent, and traditional landfill and incineration are no longer suitable for the requirements of the times. Therefore, the improvement of garbage disposal technology directly affects people's actual quality of life. The accuracy of garbage classification and the degree of waste resource utilization are indicators for testing garbage treatment. AI sorting robots are a common equipment in the garbage processing industry, which work by picking different types of materials to different locations to achieve intelligent classification of garbage. Intelligent picking robots and Cartesian sorting robots are common AI sorting robots.
1、 Advantages of AI sorting robots:
Compared to traditional manual sorting, it reduces costs to a certain extent and provides safety. The AI sorting robot designed by Beijing Anqi Intelligent adopts technologies such as low consumption, high efficiency, and high safety. It adopts a modular design, and the system can be replaced and adjusted according to actual needs, allowing us to apply it in different situations. Moreover, it can be customized and developed according to customer needs.
2、 Application areas:
AI sorting robots are an effective and environmentally friendly way of garbage disposal, which can effectively improve the efficiency and quality of garbage disposal, thereby protecting the environment and improving the urban garbage disposal situation. AI sorting robots are now widely used in the field of resource recycling for household waste, as well as in the sorting of construction and decoration waste.
3、 Product case:
Sorting robots can intelligently recognize package information, quickly complete scanning and weighing, and achieve package weighing by combining the sorting robot system with the fast code reading and intelligent sorting system of industrial cameras. Sorting robots can significantly reduce the need for manual labor during the sorting process, improve sorting efficiency and automation, and greatly enhance sorting accuracy. With the continuous improvement of big data algorithms, the gradual standardization of express delivery information, and the integration of intelligent control systems, it has become a highly compatible product of the logistics industry's intensive transformation towards intelligence.
Sorting robots can achieve unmanned operation, reduce personnel usage, alleviate labor intensity, improve personnel utilization efficiency, reduce personnel usage, and achieve unmanned operation; The sorting robot mainly depends on the accuracy of the input sorting information. The accuracy of the sorting information input through manual keyboard and speech recognition methods has an error rate of 3%.
