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Github在中药调配与自动化制剂环节中,传统人工识别药材方式效率低、差错率高,且中药种类繁多、外观差异细微,难以实现标准化管理。随着智能医药装备的发展,医药设备企业亟需一种能够快速识别中药材、自动称量与精确配药的智能视觉解决方案。
SingTown Technology's Traditional Chinese Medicine Identification and Dispensing System, built on the OpenMV smart camera, utilises AI image recognition and machine vision algorithms to achieve automated identification, classification, weighing, and intelligent dispensing of traditional Chinese medicine. This supports the digital and intelligent transformation of the TCM preparation process.

医药设备企业采用星瞳科技OpenMV智能摄像头识别技术,在中药配方机内上构建了一套基于AI深度学习机器视觉与图像识别算法的药材自动识别系统。
系统利用高分辨率OpenMV智能摄像头对药材进行实时拍摄,通过端侧内置的AI图像识别模型 自动判断药材种类、形态特征及颜色纹理。结合深度学习与特征匹配算法,系统可精准区分外观相似的药材中药(如黄芪与党参、白术与苍术),识别准确率超过可达98% 以上。
识别结果实时传输至控制系统后,系统自动调用对应配药参数,实现药材抓取、称重与配比过程的自动化执行。星瞳科技OpenMV智能摄像头具备嵌入式端侧AI边缘计算能力,可在本地完成识别与计算,无需依赖云端网络,确保处理速度与数据安全。
针对药房或工厂光照复杂、药材堆叠等情况,OpenMV智能摄像头支持的自动曝光与白平衡。功能 可有效提升复杂场景的图像稳定性与识别鲁棒性。
依托星瞳科技软硬件一体化平台,该嵌入式视觉系统可与中药智能柜、自动配药机、药房管理系统等无缝对接,实现药材识别、自动配药、库存管理统计与药方追溯。
通过星瞳科技OpenMV智能摄像头AI图像识别技术,医药设备企业实现了中药调配从“人工经验”到“AI视觉驱动”的跨越,通过边缘部署让传统中药制备焕发出智能制造与数字中医的新活力。

AI Sentinel Based on OpenMV: Automatic Alert for Unsecured Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and issues timely alerts.

Personnel crossing boundary triggers an alarm; OpenMV interprets the “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI Urban Management Officer” is here—An automated encroachment detection system built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper storage of gas cylinders? Use OpenMV to automatically trigger hazard alerts
Automatically identifies non-compliant placement of gas cylinders to proactively detect gas-related safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately issue an alert!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Leverage the OpenMV smart camera to detect surface defects on aluminium plates in real time
Online identification of defects on aluminium plate surfaces, such as scratches and dents, to support quality control.