AI Visual Inspection · Smart Scheduling · Predictive Maintenance · Data Integration
No line changeover, no downtime — use AI to turn existing equipment into smart production lines
Covering the four most critical production line areas — see clearly, schedule well, measure accurately, control fully
Injection molded part appearance defects (shrinkage, flash, black spots, silver streaks), hardware scratches, SMT cold solder joints — all relying on human eye inspection. High miss rate, slow speed, inconsistent standards. Mold wear produces batch defects often discovered only after shipment.
Deploy AI industrial cameras on production line, millisecond-level defect detection. Covers 12 common injection molding defects + customizable defect types. Real-time alerts + defect heatmaps for early mold anomaly detection. Integrates with existing MES, inspection data auto-archived.
Inspection efficiency +300% · Miss rate reduced to 0.03% · Mold anomaly early warning 3-5 days in advance
High-mix low-volume orders, frequent order insertions, tight delivery deadlines. Machine utilization opaque, scheduling relies on Excel + veteran experience. Long changeover times, severe capacity waste.
AI scheduling engine connects to ERP/MES order data, considering five key variables: delivery constraints, machine capacity, mold life, personnel skills, and material availability. Auto-generates optimal schedule, real-time re-scheduling for rush orders.
Scheduling efficiency +80% · On-time delivery rate improved to 95%+ · Machine utilization +25%
Unplanned downtime of critical equipment, single stoppage costs hundreds of thousands. Either fix after breakdown (reactive maintenance) or replace on schedule (excessive maintenance). No real-time awareness of equipment health status.
Sensor deployment (vibration/temperature/current) + AI failure pattern recognition. Establish equipment health baseline, real-time anomaly monitoring. Remaining life prediction, maintenance advisories 3-7 days in advance. Reduce unplanned downtime, optimize spare parts inventory.
Unplanned downtime -65% · Spare parts inventory cost -30% · Overall Equipment Effectiveness (OEE) +12%
ERP, MES, QMS, SRM systems operate in silos, data disconnected. Management reports lag 2-3 days, problems discovered after losses incurred. Veteran workers retire, process knowledge walks out the door.
Unified data platform connecting mainstream ERP/MES/QMS/SRM (Yonyou, Kingdee, SAP, etc.). Real-time data dashboard, core KPIs at a glance. Automatic anomaly alerts, process knowledge digitization, AI-assisted root cause analysis.
Decision latency from T+3 days → real-time · Anomaly response time -80% · Process knowledge digitization coverage 90%+
From diagnosis to delivery, close the minimum viable loop in 4-8 weeks
Engineers on-site, assess current production state, data quality, and key bottlenecks. Deliver Production Line Intelligence Diagnosis Report + ROI calculation.
Select one production line, one scenario to close the minimum viable loop. Validate with your real data — see the numbers before making decisions.
System deployment + production line commissioning + operator training. No-downtime installation, 3-5 day commissioning period — no impact on normal production.
Monthly review + model iteration + data flywheel. AI models improve with every use, replicating from one scenario horizontally to other production lines.
Each scenario verified by manufacturing enterprises
Injection parts, hardware, electronic connectors, glass covers — AI vision replaces human eye, 24/7 non-stop inspection, defect detection rate 99.7%+
Post-placement solder joint quality inspection covering 10+ defect types: cold solder, bridging, insufficient solder, offset — replacing traditional AOI rule-based programming
Connector terminal pitch, mold cavity dimensions — AI vision inline measurement, accuracy ±0.01mm, replacing CMM sampling inspection
Monitor mold wear trends, predict remaining strokes, proactive mold preparation and replacement. Reduce unexpected line stops and batch scrap
AI analyzes historical process data, recommends optimal injection pressure/temperature/holding time combinations, reducing trial runs and scrap rate
AI monitors upstream raw material prices, delivery times, and quality fluctuations, providing early supply chain risk alerts to support procurement decisions
Free production line diagnosis, report delivered in 1-2 weeks — see results before you decide