SOLUTION · SMART MANUFACTURING & INDUSTRIAL AI

智能制造与工业 AISmart Manufacturing & Industrial AI

以 AI 视觉质检、设备物联与 WMS 仓储管理，构建可视、可控、可优化的生产运营体系。AI visual inspection, equipment IoT and WMS for visible, controllable manufacturing operations.

AI 质检AI Inspection设备监测Equipment Monitoring智能仓储Smart Warehouse

缺陷类型分布Defect Types

全工位 AI 视觉Full-station AI Vision 多光谱相机覆盖划痕/凹坑/尺寸偏差等常见缺陷Multi-spectral cameras cover scratches/dents/dimension deviations

设备物联与预测Equipment IoT & Prediction 边缘网关 + 故障模型，提前预测异常窗口Edge gateway + failure model predict abnormal windows early

智能仓储 WMSSmart Warehouse WMS PDA + 条码 / RFID 一体作业，账实差异显著下降PDA + barcode/RFID unified ops; book-stock variance drops sharply

数据采集Data CollectionAI 训练AI Training视觉质检Visual Inspection决策闭环Decision Loop

实时在线Live

源码交付Source Delivery 私有化部署On-prem Deployment 支持定制Customizable

智能制造与工业 AISmart Manufacturing & Industrial AI

缺陷类型多、产线节拍快，人工肉眼抽检难以兼顾效率与一致性Many defect types and fast line takt; manual visual sampling can't balance efficiency and consistency
漏检/误检直接影响出货质量，客户索赔与返修成本居高不下Missed/false detection hurts shipment quality; customer claims and rework costs stay high
关键设备故障突发、停机损失大，维护依赖老师傅经验Sudden key-equipment failures cause big downtime losses; maintenance relies on veteran intuition
仓储账实不符、批次与效期易出错，找货时间长、人力成本高Warehouse books don't match stock; batch/expiry errors, long pick times and high labor cost
数据散落在 MES/ERP/设备，缺乏统一的质量与生产看板Data scattered across MES/ERP/equipment; no unified quality and production dashboard

APPROACH

我们的方法Our Approach

多工位部署工业相机与定制光源，深度学习识别常见缺陷类型Industrial cameras and custom lighting at multiple stations; DL detects common defect types

边缘网关采集振动/温度/电流等信号，提前预警异常窗口Edge gateways collect vibration/temp/current; early-warn abnormal windows

入出库与盘点全流程扫码，库存账实差异显著下降Scan-based inbound/outbound/cycle-count; book-stock variance drops sharply

MES/ERP/设备数据汇聚，工艺、质量、产能可视化追溯Converge MES/ERP/equipment data; visual traceability of process, quality and capacity

SCENARIOS

AI 质检AI Inspection设备监测Equipment Monitoring智能仓储Smart Warehouse