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作 者:尚雨彤 岳耀亮 SHANG Yutong;YUE Yaoliang(School of Automation and Electrical Engineering,Linyi University,Linyi Shandong 276000,China)
机构地区:[1]临沂大学自动化与电气工程学院,山东临沂276000
出 处:《信息与电脑》2025年第3期66-68,共3页Information & Computer
摘 要:基于STM32单片机,构建了视觉分拣系统,集成了图像识别技术,实现了对操作平台上物品的高效、准确检测与分拣。该系统由视觉抓取、物联网、电力续航、数据库、移动伸缩底盘、N10激光雷达、MPU6050陀螺仪、仓储货架及智能安防监控等模块组成,通过主控原理和系统框架实现各模块的协同工作。该设计不仅提高了工业生产效率,还具有广泛的应用前景,适用于多种操作平台的物品分拣处理。通过系统调试和实物展示,验证了该系统的实用性和可靠性。Based on STM32 microcontroller,a visual sorting system is constructed,which integrates image recognition technology to realize efficient and accurate detection and sorting of items on the operation platform.The system is composed of modules such as visual capture,Internet of things,power endurance,database,mobile telescopic chassis,N10 lidar,mpu6050 gyroscope,storage rack and intelligent security monitoring,etc.the collaborative work of each module is realized through the main control principle and system framework.The design not only improves the industrial production efficiency,but also has a wide application prospect,which is suitable for the sorting and processing of goods on a variety of operation platforms.The practicability and reliability of the system are verified by system debugging and physical display.
分 类 号:TP23[自动化与计算机技术—检测技术与自动化装置]
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