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Tedious AOI Programming
Start Inspecting.
From 3 Hours to 5 Minutes
The End of Programming Bottlenecks
Capture the Golden Board
Capture components on the golden good PCB to establish a reference. No CAD files required.
AI Auto-Modeling
AI automatically generates inspection regions, computes parameters, and identifies panel layout.
Review Results
Operator conducts training, evaluation and refines programming.
Feedback & Optimization
See It in Action
Discover DaoAI's Latest Innovations
March 17 - 19, 2026 | Anaheim Convention Center #2747, USA
Book a DemoImpact at a Glance — KPIs
From programming efficiency to quality improvement, DaoAI AI AOI delivers quantifiable and significant enhancements across all key metrics.
Reduction in
Programming Time
Live on the production line immediately; instant go-live, 5-minute changeover.
Reduction in
False Call Rate
AI-driven judgment reduces unnecessary manual re-inspection.
Reduction in Overall
Operating Costs
Reduces dependency on specialized labor, shortens line stoppage time, and lowers rework losses.
Calculate Your ROI Savings
See how much you can save with DaoAI's AI-powered AOI solution
Cut Labor Costs
Save USD 28,000 – 42,000 per line every year.
Empower Operators
Move setup from 'Engineer-only' to 'Operator-ready' in 30 minutes.
Maximize Uptime
Turn hours of idle machine time back into profitable production.
Your Factory Metrics
Your Annual Savings Potential
Based on Your Metrics:
Based on your metrics, you currently spend annually on AOI programming across your SMT lines.
With DaoAI's AI-powered solution, you can save 40–60% of your AOI programming time. This means:
Factory Exclusive Visual AI
A dedicated visual AI trained specifically for your processes
Full-Stack AI Capability
Single-sample anomaly detection, MARK recognition, component alignment, automatic panel detection, automatic parameter calculation, DIP classification, and OCR — all AI-powered.
Data Never Leaves the Factory
Fully on-premise deployment ensures data security. Core process know-how stays within your facility at all times.
Smarter with Every Use
Continuously learns from operator feedback. The AI model keeps improving, with accuracy increasing over time.
No AOI Programming Engineer Required
Operators manage the entire training workflow independently, lowering the skills threshold and increasing organizational agility.
Detects All Component-Level Defects
Missing/Wrong Part
Tombstone
Polarity / Flipped
Solder Bridge
Misalignment
OCR
Foreign Object
Insufficient Solder
Overcoming Difficult Challenges
Multi-Dimensional AI Detection
AI Component Alignment
Component surface contamination can degrade alignment accuracy, causing false positive. DaoAI uses AI algorithms for precise localization of contaminated components.
Same-Color Component Detection
When component body color matches PCB laminate, RGB color-based algorithms fail completely. DaoAI extracts multi-dimensional feature embeddings beyond RGB — reliably detecting components regardless of component color match.
DIP Solder Joint Classification (AI-Based)
DIP accept/reject criteria vary across customers, board types, and etcs. DaoAI trains a local AI classifier to your accept criteria — fast to deploy, high accuracy, no vendor dependency.
Black Inductor & Crystal Oscillator Mitigation
Chip inductors and crystal oscillators are notorious false-positive generators due to dense surface markings. DaoAI's multi-feature AI discriminator separates marking signatures from true defect signals — eliminating the root cause of false positives without rule-writing.
Productivity Features
Traditional AOI VS. DaoAI AI AOI
| Evaluation Criteria | Traditional AOI | Generic AI AOI | DaoAI AI AOI |
|---|---|---|---|
| Training Methodology | Manual rule-based programming | General pre-trained model, not customized | Trained specifically on your golden boards |
| Programming Time | 3-5 hours per board | Depends on AI engineer config | Operator completes in 5 minutes |
| Data Security | N/A | Risk of IP exposure via cloud | Fully on-premise — data never leaves factory |
| Optimization | Fixed algorithms, no auto-iteration | Improvements require vendor involvement | Continuously learns from operator feedback |
| False Call Rate | High false call rate; escape defects present | Limited adaptability to specific processes | Reduced by 80%; accuracy improves over time |
Technical Features
Built on an industry-leading visual foundation model and trained on large-scale real-world SMT production data. Industrial-grade accuracy from day one.
Anomaly Scoring
AI-driven multi-dimensional feature extraction with anomaly scoring — not rule matching
Noise Immune
Model inference is feature-space, not pixel-space — immune to lighting drift and RGB noise
High Tolerance
High tolerance for optical variation, component lot-to-lot differences, and board warpage
Training Dataset: 1M+ Real-World Images
Factory-sourced image library spanning the full SMT component taxonomy. Continuously updated.
- OK: conforming component reference images
- NG: defect images across all failure modes
- 4x4 multi-orientation augmentation
- Active dataset expansion pipeline
AI Learns Directly from Real Samples
Employs Visual Foundation Model (VGG architecture) — convolutional neural network extracts features layer by layer for end-to-end deep learning.
DaoAI AOI PCBA Visual AI
PCBA Visual AI Engine — Production-Grade Performance, Full-coverage defect taxonomy with <1ms per component inference speed.
- Missing / Wrong / Misorientated component
- Tombstoning / Physical damage / Polarity reversal
- Surface scratches / Foreign material contamination
Engineered for Synergy. Built for Flexibility.
Uncompromised Throughput Technology
1 ms /component
Millisecond-level Inspection
Instantly detects missing parts, wrong components, and polarity on high-density boards without computing bottlenecks.
45 cm²/s
Throughput
Perfectly matches the rhythm of High-Mix Volume SMT lines, eliminating post-reflow inspection bottlenecks.
CPU/GPU
Parallel Processing Architecture
GPU focuses on processing complex defects and OCR, while the CPU synchronously handles logic operations. True parallel processing ensures tasks do not wait for each other, maximizing hardware efficiency.
One Interface for Everything
- Program new boards in same UI
- Review flagged defects inline
- Export reports to MES
- Multi-language support (EN/CN)
Integration & Extensibility
Open API Architecture — Seamlessly connect with your factory ecosystem
MES Integration
Bi-directional data exchange with Manufacturing Execution Systems for complete production traceability and closed-loop quality control.
SPC Statistical Analysis
Built-in Statistical Process Control dashboards for real-time yield monitoring, trend analysis, and defect distribution tracking.
Remote Access Support
Secure remote diagnostics and maintenance capabilities allow engineers to monitor and troubleshoot from anywhere.
Offline Programming
Prepare and optimize inspection programs without occupying the production machine, maximizing line uptime and throughput.
Elevate Your Yield with the P-Series
From compact offline stations to high-speed inline systems.
DaoAI P1/P2
5MP Camera + 15µm | 12MP Camera + 10µm
Manual Load
DaoAI P3/P3D
12MP Camera | 10µm
Single Track / Dual Track
| Specification | P1 / P2 (Offline) | P3/P3D (Inline) |
|---|---|---|
| Ideal For | High-Mix Low-Volume / NPI | High-Volume SMT Lines |
| Camera / Res | P1: 5MP (15µm) / P2: 12MP (10µm) | 20MP (10µm) |
| Imaging System | Dual Telecentric Lens | 20MP Telecentric Lens |
| Lighting | Multispectral RGB 6-Channel | High-intensity RGB Coaxial + Multi-angle Ring LED |
| Inspection Speed | P1: 25 cm²/s / P2: 30 cm²/s | 45 cm²/s |
| Max PCB Size | 470 × 330 mm | 500 × 325 mm |
| PCB Thickness | 0.3 – 5.0 mm | 0.3 – 5.0 mm |
| Conveyor | Manual Load / Unload | Single Track (P3) / Dual Track (P3D) |
| GPU | NVIDIA RTX Series | NVIDIA RTX Series |
| Inspection Capability | SMD, Through-hole, Solder Joint, Polarity, Marking | SMD, Through-hole, Solder Joint, Polarity, Marking, Solder Bridge |
| Dimensions (L×W×H) | P1: 560×530×590 mm P2: 630×530×590 mm |
P3: 1100×960×1400 mm P3D: 1100×1200×1400 mm |
| Weight | P1: ~35 kg / P2: ~40 kg | P3: ~350 kg / P3D: ~450 kg |
| Communication | USB, Ethernet, SMEMA | USB, Ethernet, SMEMA |
What is the 'NPI Paradox'?
How does DaoAI SMT Visual AI differ from Traditional AOI?
Do I need a 'Golden Board'?
Can it work with CAD files?
THE HIGH-MIX DILEMMA
Unraveling the complexities of modern manufacturing and the elusive promise of the Smart Factory.
Offline 2D AI AOI Machine
DaoAI P1 & P2
DaoAI P1& P2 leverages advanced visual AI to automate PCBA inspection programming. By learning directly from golden sample, it auto-detects components, generates bounding boxes, and defines defect thresholds — accelerating setup from hours to 5 minutes.
DaoAI P1/P2 Specifications
DaoAI P1
5MP0 Camera /month
DaoAI P2
12MP0 Camera /month
DaoAI P1
DaoAI P2
Optical System
Conveyor & PCB Size
Inspection Capability
Additional Functions
Inspection and Auto-Configuration Capabilities
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Polarity | IC Leads |
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Capacitor |
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Resistor |
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Multilayer Chip
Inductor |
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Aluminum Electrolytic
Capacitor |
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Tantalum Capacitor |
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Resistor Array |
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Power Inductor |
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LED |
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SOT/SOD |
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SOIC/SOP/TSOP/TSSOP/MSOP |
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QFP |
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QFN |
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TO-263/TO-252 |
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