VISUAL DEFECT DETECTION

See What Others Cannot See.

data-driven microscopic analysis detects defects at 0.1mm resolution. Your quality inspector never blinks, never tires, never misses.

99.4% Accuracy
0.1mm Resolution
<100ms Detection
Magnification 100x
Defect Detection Dashboard
3 Defects Found
CAM-03 • MICROSCOPE-MAIN LIVE
CRACK 0.08mm PIT 0.12mm 100x MAG F2.8 ISO
1 Critical
1 Warning
1 Info
14:22:45 • 2024-01-15
Scan Status
Surface A Clear
Zone B Defect
Edge C Clear
QA Inspector Alert received
Production Team Reviewing...
Pilot Protected 24/7
Resolution 0.1mm
Accuracy 99.4%
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The Defects That Were Caught

These Failures Were Prevented

Real production lines. Real defects. Millions saved by remote detection before products shipped.

The Hairline Fracture

Steel Beam Production Line
06:22
DEFECT DETECTED

0.08mm stress fracture detected in load-bearing beam

+0.1s
Pilot RESPONSE

operator microscopy identified micro-crack pattern before coating

+5min
OUTCOME

Beam rejected, structural failure risk eliminated

The Paint Bubble

Automotive Body Shop
14:45
DEFECT DETECTED

Sub-surface paint bubble detected on door panel

+0.1s
Pilot RESPONSE

Multi-spectrum analysis revealed hidden delamination

+5min
OUTCOME

Panel reworked before assembly, warranty claim avoided

The Weld Void

Pipeline Fabrication Yard
09:30
DEFECT DETECTED

Incomplete fusion in critical pipeline weld

+0.1s
Pilot RESPONSE

pilot detected porosity pattern invisible to X-ray alone

+5min
OUTCOME

Weld repaired, pipeline integrity preserved

The Solder Bridge

Electronics Assembly Line
22:15
DEFECT DETECTED

0.15mm solder bridge between circuit traces

+0.1s
Pilot RESPONSE

High-magnification scan caught short circuit risk

+5min
OUTCOME

PCB reworked, device failure prevented

INSTANT ALERTS

Get notified the moment
a defect appears

Receive instant push notifications when defects are detected. Our system sends real-time alerts to your QA team with exact location, measurements, and severity classification.

Multi-channel notifications
Severity-based escalation
Production line integration
Analyzing surface at 100x magnification...
00:02
14:22

"Zone B Alert: Surface crack detected measuring 0.08mm width x 12mm length. Severity: Critical. Production line pause recommended for inspection."

Mohammed Al-Hassan QA Lead
Alert sent via SMS & App
Fatima Al-Zahrani Production Manager
Alert sent via Email & App
Rework Station Standby
The Cost of Missing Defects

Calculate Your Quality Risk Exposure

See the true cost of undetected defects and the ROI of data-driven quality inspection.

10,000
Quality Risk Score High With manual inspection only
Potential Recall Cost SAR 8.5M Per major defect escape
With Remote Detection Low 99.4% detection rate
Annual ROI 1,850% Based on recall prevention
Zero Defects. Zero Recalls.

Your Quality Inspection Technology

Every metric represents products protected. Every percentage is a recall prevented.

99.4% Detection Accuracy data-driven multi-spectrum defect detection catches flaws before they ship
0.1mm Resolution Sub-millimeter precision catches defects invisible to the naked eye
< 100ms Analysis Speed Real-time inspection keeps pace with production line speeds
500+ Defect Types Detection library covers all major quality concerns
24/7 Quality Monitoring
Sub-millimeter Detection
Instant Alert System
Visual Evidence Capture
See Every Surface. Guard Every Product.

Your Command Center for Quality Control

Real-time visibility into every inspection point. Total control over defect detection.

Surface Defect Analysis

Scratches, dents, pitting, and corrosion detection across all material types

All SurfacesMulti-MaterialReal-time

Coating Inspection

Bubbles, delamination, thickness variation, and color mismatch identification

Multi-LayerThickness MapColor Match

Structural Flaw Detection

Cracks, voids, inclusions, and weld defects at microscopic level

Sub-mm PrecisionDepth AnalysisAuto-Alert

Assembly Verification

Missing parts, misalignment, wrong components, and orientation errors

Part MatchingAlignment CheckBOM Verify
The Numbers That Ensure Quality

Impact Measured in Products Protected

10M+ Products Inspected
500K+ Defects Caught
99.4% Detection Accuracy
50M+ Recall Costs Prevented (SAR)

Don't Ship Defects

Every defect that escapes is a recall waiting to happen. Get data-driven microscopic detection that sees what humans cannot.

ISO Certified
Real-time Detection
24/7 Inspection

Frequently Asked Questions

How accurate is AI defect detection on construction sites?

Properly-tuned models achieve 88–94% precision/recall on common defect classes (cracks, spalling, misalignment, surface defects). Accuracy depends on training data quality and camera resolution — minimum 4K imagery at <30m distance is required for sub-millimeter defect detection. ViewKeeper fine-tunes per-project to sustain >90% accuracy.

Can the system detect cracks smaller than 1mm?

Yes, with high-resolution close-range imagery (sub-mm GSD). A 4K camera at 5m distance resolves cracks down to 0.3mm. Sub-mm crack detection requires dedicated close-range inspection flights rather than wide-area mapping. We recommend combining both: wide-area weekly + targeted close-range on flagged zones.

How does defect detection integrate with our QA workflow?

Defects are exported as structured records (class, severity, GPS, photo, timestamp) into your BIM model (via IFC), QA app (Procore, Fieldwire, PlanRadar), or our dashboard. Each defect has a unique ID, status (open/in-progress/closed), and audit trail — closing the loop with QA sign-off.

What camera types are best for defect detection?

RGB high-resolution (≥4K) for visible defects, thermal for subsurface moisture/delamination, and LiDAR for 3D surface geometry. Most construction deployments use RGB + thermal combination. Specialized inspection (e.g., weld defects) may require close-range photogrammetry rigs.

Can the AI be trained on our project's specific defect types?

Yes. We fine-tune the base model with your historical defect data (50–500 labeled images per class) to recognize project-specific terminology and standards (e.g., Saudi Building Code classifications). This typically lifts accuracy 8–15 percentage points vs. the generic model.