A global electronics distributor ran a wall-to-wall physical inventory count across its three largest warehouses. The result: a $2.3 million discrepancy between system records and actual stock — representing...
Real-time defect detection, PPE compliance monitoring, and predictive maintenance — all from your existing camera infrastructure. Detect cracks, corrosion, leaks & safety violations with 99.4% accuracy.
Core Pipeline
From multi-spectral image capture to automated work orders — sub-50ms end-to-end latency, on-premise edge AI, zero cloud dependency.
Multi-spectral cameras, thermal imagers, LiDAR & 3D depth sensors capture data across RGB, infrared and UV spectrums simultaneously.
On-premise NVIDIA GPU runs YOLOv8, EfficientNet & Vision Transformer models. Sub-50ms inference — no internet, no latency, no data leaves the factory.
AI identifies defect type, severity, and location — annotates frames with bounding boxes, confidence scores, and root-cause classification.
AI instantly raises a work order with annotated evidence, assigns technician, notifies via push/SMS, and syncs with SAP PM or any CMMS.
Use Cases
Six critical factory scenarios where AI vision eliminates blind spots, prevents shutdowns, and keeps workers safe.
Use Case 01
Detect cracks, corrosion, surface damage, deformation, and wear on pumps, motors, pipes, valves, and structural components — before they cause costly failures.
Use Case 02
Monitor every worker in real-time for missing hard hats, safety vests, gloves, and goggles. Trigger instant alerts, log violations, and generate automated compliance reports.
Use Case 03
Continuous AI surveillance detects belt tears, misalignment, spillage, idler failures, edge wear, and splice degradation — averting catastrophic line stoppages worth millions in lost production.
Use Case 04
Infrared imaging identifies overheating motors, bearings, electrical panels, and pressure vessels. Spot hotspots before thermal runaway failure — without shutting down the line.
Use Case 05
The moment a defect is detected, iFactory AI raises a complete work order — annotated photos, asset mapping, AI-suggested repairs, and technician assignment. Zero manual entry required.
Use Case 06
AI learns degradation patterns over time to predict failure days or weeks ahead. Track asset health scores, forecast Remaining Useful Life (RUL), and schedule proactive maintenance.
Industries
Industry-specific AI models trained for unique inspection requirements — from oil rigs to pharma packaging lines.
Pipeline corrosion, flare monitoring, fugitive emissions (OGI), valve inspection for upstream and downstream facilities.
Hot strip surface inspection, slab identification, coating uniformity and weld bead quality at line speed.
Kiln monitoring, conveyor belt health, truck tracking, stockpile measurement, and dust emission control.
Paint inspection, weld validation, gap analysis, torque mark verification, and assembly completeness at line speed.
Fill level, foreign object detection, blister pack inspection, label placement, and serialization compliance.
Solar panel inspection, wind turbine blade analysis, substation thermal scanning, and transmission line patrol.
Getting Started
Start with 2–3 cameras on critical equipment. Most deployments go live within 1–2 weeks with hands-on support from our implementation team.
Position cameras at critical equipment, conveyor belts, and high-risk zones. Works with existing IP cameras — 30 min setup per camera.
Link cameras via WiFi, Ethernet, or cellular. ONVIF & RTSP supported out of the box — edge or cloud processing.
Customise detection models for your equipment. AI reaches 95%+ accuracy within the first week with active learning.
AI begins real-time defect detection, safety monitoring, and automated work order creation. Scale as you see ROI.
Customer Results
"AI cameras caught a bearing failure 3 days before it caused a line shutdown. Saved us over $120K in one incident."
"PPE compliance jumped from 85% to 98%. The automatic alerts changed worker behaviour overnight."
"Conveyor belt tear detection saved us 3 unplanned shutdowns in Q1. AI spots damage we'd never catch manually."
"Automated work orders save 10+ hours per week. No more manual data entry for every defect found on the line."
FAQ
Everything you need to know before deploying AI Vision in your factory.
Ask Our TeamYes. iFactory AI Vision is hardware-agnostic and works with most IP cameras via ONVIF and RTSP protocols — including Hikvision, Dahua, Axis, Bosch, and Sony. For specialist inspection requiring higher resolution, we recommend 4K+ industrial cameras. Setup takes approximately 30 minutes per camera.
iFactory AI achieves 99.4% detection accuracy after the initial training period. The system starts at ~90–92% accuracy and improves through active learning. False positive rates are kept below 2% via confidence thresholding. Accuracy varies by defect type — surface cracks and PPE violations typically exceed 99%, while complex 3D deformations may start at 94% and improve with more data.
No. AI runs locally on NVIDIA GPU-powered edge devices — no internet required for real-time detection. This ensures sub-50ms inference latency and keeps your production data on-premise. Edge devices buffer alerts and sync when connectivity is restored. Air-gapped deployments are fully supported with SOC2 and IEC 62443 compliance.
When AI detects a defect, iFactory instantly creates a work order containing: severity classification, AI-annotated photos, linked asset (via camera zone mapping), AI-suggested repair actions, and assigned technician based on skills and availability. Integrations include OPC-UA, MQTT, REST API, and SAP PM. Detection to notification takes seconds.
Most deployments are live within 1–2 weeks. Day 1: camera positioning and connection (30 min/camera). Days 2–3: AI model configuration and baseline collection. Days 4–7: training, threshold tuning, and alert configuration. Week 2: team training and accuracy validation. Our team provides hands-on support throughout, including on-site assistance for enterprise deployments.
Deploy AI-powered cameras for real-time defect detection, PPE safety monitoring, conveyor belt health, and predictive maintenance. Catch what human eyes miss — 24/7.