Transform maintenance with AI-powered visual inspection. Detect equipment defects in real-time, monitor safety compliance 24/7, and trigger automated work orders — all from your existing camera infrastructure.
From camera capture to automated work order — iFactory AI processes visual data in real-time, detecting defects in under 200 milliseconds.
Works with any ONVIF-compatible IP camera. Connect via RTSP — no new hardware required.
Infrared imaging for hotspot detection, overheating components, and thermal anomalies.
On-premise edge compute with NVIDIA GPUs. Sub-second inference with zero cloud latency.
Deep learning models analyze visual data in real-time to detect cracks, corrosion, leaks, wear patterns, and surface anomalies with 99%+ accuracy — catching defects invisible to the human eye.
Hairline cracks & fractures invisible to naked eye
Rust, oxidation & surface degradation
Fluid leaks, stains & moisture accumulation
Belts, bearings & component wear tracking
Overheating components via infrared
Scratches, dents & material inconsistencies
Pump Housing — Unit #12 • Hairline fracture 2.3mm along pressure seam
Motor Bearing — Line 3 • Surface temp 127°C (threshold: 95°C)
Hydraulic Cylinder — Bay 5 • Slow drip detected at fitting junction
Deploy AI cameras across your facility for continuous equipment surveillance. iFactory AI watches your assets around the clock, detecting issues the moment they appear — no human fatigue, no missed inspections.
Unlimited cameras across all locations
Real-time feed with AI annotations
Define inspection areas per camera
Secure footage storage with playback
Low-light monitoring with infrared
Monitor feeds from anywhere
AI vision monitors PPE compliance, detects hazardous conditions, and alerts supervisors to violations in real-time. Achieve 95–99% compliance accuracy and stay OSHA-ready effortlessly.
Hard hats, vests, gloves, glasses, boots
Unauthorized access to danger zones
Liquid spills & chemical leaks
Early warning before alarms trigger
Unsafe lifting & posture detection
Auto-generate OSHA documentation
Hairline fracture 2.3mm along pressure seam • Building A, Bay 3
When AI detects a defect, iFactory AI automatically creates a work order with annotated photos, asset details, severity, and AI-suggested repair actions. Zero manual data entry — your team is notified instantly.
Defect detected → WO created instantly
AI-annotated images attached
AI sets urgency from defect severity
Camera zone maps to correct asset
Push, SMS & email to assigned tech
Response time vs. service targets
AI learns from visual patterns over time to predict when equipment will fail. Track degradation progression, forecast maintenance needs, and prevent unexpected downtime with data-driven insights.
Predict failures days or weeks ahead
Track wear & degradation patterns
AI-generated score for every asset
Remaining Useful Life forecasting
Setting up AI vision cameras is straightforward. Start with 2–3 cameras on critical equipment, then scale as you see ROI.
Position cameras at strategic points monitoring critical equipment and high-risk zones.
Link cameras via WiFi, Ethernet, or cellular. ONVIF & RTSP supported out of the box.
Customize detection models for your equipment. AI reaches 95%+ accuracy within the first week.
AI begins real-time defect detection, safety monitoring, and automated work order creation.
AI vision insights flow seamlessly into work orders, assets, inventory, inspections, and your complete maintenance workflow.
Manufacturing teams using iFactory AI Vision achieve measurable improvements in inspection speed, defect detection, and workplace safety.
"AI cameras caught a bearing failure 3 days before it would have caused a line shutdown. The ROI was immediate — saved us over $120K in one incident."
"PPE compliance went from 85% to 98% after deploying AI vision. The automatic alerts changed behavior overnight. OSHA audits are effortless now."
"We reduced manual inspections by 80%. The AI finds micro-cracks and corrosion our technicians would have missed completely."
"Automated work orders from AI detection save our team 10+ hours per week. No more manual data entry for every defect found on the floor."
Everything you need to know about iFactory AI Vision Camera capabilities and deployment.
iFactory AI Vision detects a wide range of equipment defects including: cracks and fractures (down to hairline level), corrosion and rust, oil and fluid leaks, wear patterns on belts and bearings, thermal anomalies and overheating, misalignment, loose components, surface scratches and dents, and material inconsistencies. The AI continuously learns from your equipment to improve detection accuracy over time, achieving 99%+ accuracy with minimal false positives.
iFactory AI Vision works with standard IP cameras (ONVIF compatible), USB webcams, industrial cameras, thermal imaging cameras, and smartphone cameras. We support resolutions from 720p to 4K via RTSP streams. For best results, we recommend 1080p+ cameras with good low-light performance. Most facilities can use their existing CCTV infrastructure — no new hardware purchase required. Our team advises on optimal camera placement for your specific use case.
iFactory AI uses transfer learning to rapidly adapt pre-trained deep learning models to your equipment. During setup, we collect baseline images of your equipment in normal condition. The AI learns what "healthy" looks like and detects deviations. You can provide feedback on detections to improve accuracy. Most deployments reach 95%+ accuracy within the first week, with continuous improvement as the system learns your specific defect patterns and environmental conditions.
Yes. iFactory AI Vision includes comprehensive safety compliance features detecting PPE usage including hard hats, safety vests, safety glasses, gloves, and safety boots with 95–99% accuracy. It also monitors hazard zones for unauthorized access, detects spills and chemical leaks, identifies fire and smoke hazards, and flags unsafe behaviors like improper lifting. All violations are logged with timestamps and photographic evidence, auto-generating OSHA compliance documentation.
iFactory AI Vision offers both cloud and edge processing. With edge processing, AI runs locally on NVIDIA GPU-powered edge devices — no internet required for real-time detection. This ensures sub-second inference, zero cloud latency, and keeps your production data on-premise. Edge devices buffer alerts and sync when connectivity is restored. Cloud processing is available for sites preferring centralized management. Both options deliver the same detection capabilities.
When AI detects a defect, iFactory automatically creates a work order containing: the detected issue with severity classification, AI-annotated photos with defect highlighted, the linked asset based on camera zone mapping, AI-suggested repair actions, and assigned technician based on skills and availability. The assigned technician receives instant push notifications. No manual data entry is required — the entire process from detection to notification takes seconds.
iFactory AI Vision scales from a single camera to hundreds across multiple facilities. Our edge processing architecture handles multiple video streams per edge device, and you can deploy unlimited edge devices. For enterprise deployments, centralized management lets you monitor all cameras from a single dashboard. We recommend starting with 2–3 cameras on your most critical equipment, then expanding as you validate ROI. There are no hard limits on camera count.
Most deployments are completed within 1–2 weeks. Day 1: Camera positioning and network connection (30 minutes per camera). Day 2–3: AI model configuration and baseline image collection. Day 4–7: AI training, threshold tuning, and alert configuration. Week 2: Team training, workflow optimization, and accuracy validation. Our implementation team provides hands-on support including on-site assistance for enterprise deployments.
Deploy AI-powered cameras for real-time defect detection, safety monitoring, and predictive maintenance. Transform how you inspect equipment — catch what human eyes miss.