Blog · AI visual inspection
Notes from the inspection line.
Anomaly detection, few-shot training, edge deployment and the metrics that matter: practical writing for integrators, quality managers and automation engineers.
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AI Visual Inspection, the complete guide
The pillar these posts hang off: anomaly detection, few-shot learning, edge architecture, accuracy metrics and installation, in one long-form reference.
- 01
Rule-based vs AI machine vision: when to use which
When to use rule-based machine vision, when to use AI inspection, and when to combine them. A decision framework with a side-by-side comparison for quality and automation engineers.
July 2026 · 7 min read
- 02
How to inspect a part with only 20 images
Modern AI inspection doesn't need thousands of images. How anomaly detection and few-shot learning inspect from about 20 good samples, and why lighting, not data, is the real bottleneck.
July 2026 · 7 min read
- 03
The inspection metric vendors don't advertise: false-negative rate
A 99% accuracy claim means little without the false-negative rate. The four inspection metrics that matter, why escapes are the expensive error, and the questions to ask any vision vendor.
July 2026 · 7 min read
- 04
Edge vs cloud: why line-speed AI stays on-device
Line-speed inspection can't wait on the network, and most plants won't send raw imagery off site. Why edge AI is the default for visual inspection, and where cloud still helps.
July 2026 · 7 min read
- 05
AI inspection in 30 minutes, without a vision engineer
A pre-configured inspection unit turns a multi-month vision project into a 30-minute field task. The four-step field guide, Mount, Aim, Configure, Wire, for integrators.
July 2026 · 6 min read
- 06
Automotive quality inspection with AI: headlight and bumper recognition
How edge-AI vision recognises left vs right headlights and bumper variants on a mixed automotive line, so the robot runs the right program.
July 2026 · 7 min read
- 07
PCB and electronics inspection with AI: solder, missing components and orientation
How AI anomaly detection complements rule-based AOI on high-mix boards, catching solder faults, missing parts and orientation errors from about 20 good boards.
July 2026 · 8 min read
- 08
Food and beverage vision inspection: cap seal, fill and washdown-rated AI
A live cap line reached 99.65% F1 and a 0.69% false-negative rate. Why a washdown food or beverage line needs the IP65 AV-W100, not a standard IP54 camera.
July 2026 · 6 min read
- 09
Pharmaceutical packaging inspection with AI: blister, seal and batch verification
How an on-device unit checks blister completeness, seal integrity and batch marking while pack imagery stays on the line, on a washdown-rated AV-W100.
July 2026 · 7 min read
- 10
Plastic injection quality control with AI: short-shot, flash and colour
How anomaly detection trained on good shots only catches short-shots, flash, sink and colour drift on moulded parts, with millimetre gauging at cycle speed.
July 2026 · 7 min read