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Automated Inspection

Consistent, high-speed defect detection — 24 hours a day, 7 days a week, with zero fatigue.

Overview

What is Automated Visual Inspection?

Automated visual inspection uses industrial cameras, precision lighting, and advanced image processing algorithms to examine products at every stage of production — faster and more consistently than any human operator.

Where manual inspection is subject to fatigue, distraction, and variability, machine vision delivers the same precise judgement on the first unit as on the ten-thousandth. Every product is checked. Every defect is flagged. Every decision is logged.

Opsistech designs and deploys automated inspection systems tailored to your production environment — from high-speed packaging lines to precision electronics assembly.

Capabilities

What We Detect

Surface Defects

Scratches, dents, cracks, discolouration, and contamination — detected at micron-level sensitivity across any material.

Shape Anomalies

Deformed, bent, or incorrectly shaped components identified against a known-good reference model.

Missing Components

Absent parts, fasteners, labels, or printed elements flagged immediately — before the product moves to the next stage.

Faulty Electronics

PCB solder defects, misaligned components, lifted pins, and incorrect polarity detected at board and component level.

Label & Print Verification

Correct placement, legibility, and content of labels, date codes, lot numbers, and barcodes confirmed automatically.

Packaging Integrity

Seal quality, fill level, cap presence, and tamper evidence verified across bottles, blisters, pouches, and cartons.

Process

How It Works

01
Image Acquisition Industrial cameras — area scan, line scan, or 3D — capture high-resolution images of each product as it moves along the production line. Triggering is synchronised with line speed, ensuring no unit is missed.
02
Controlled Illumination Precision lighting — structured, diffuse, backlit, or coaxial — is selected to make defects visible while suppressing surface variation. The right light makes the invisible obvious.
03
Image Processing & Analysis Vision algorithms — edge detection, pattern matching, blob analysis, and AI-based classification — analyse each image in milliseconds, comparing against defined acceptance criteria.
04
Pass / Fail Decision & Rejection Non-conforming parts trigger an automated rejection mechanism — air blast, push rod, or diverter — removing them from the line without interrupting production. All results are logged for traceability.

Applications

Where We Deploy

Automotive

Body panel surface inspection, weld quality verification, fastener presence checks, and brake component examination.

Electronics

PCB automated optical inspection (AOI), solder paste verification, component placement, and connector pin checks.

Pharmaceuticals

Blister pack completeness, tablet colour and shape verification, seal integrity, and label compliance.

Food & Beverage

Foreign body detection, fill level verification, cap and seal inspection, and date code legibility.

Related Services

Explore Further

AI-Based Analysis

Deep learning for complex defects beyond rule-based methods.

Robot Guidance

Vision-guided picking, placing, and assembly for robotic cells.

Identification & Tracking

Barcode, QR, and serial number reading for full traceability.

FAQ

Frequently Asked Questions — Automated Visual Inspection

How much does an automated visual inspection system cost?

Cost varies with application complexity, line speed, number of cameras, and algorithms required. A simple single-camera system can start from a few thousand euros, while a multi-camera deep learning solution can reach tens of thousands. We offer a free application evaluation before any estimate.

What defects can an automated inspection system detect?

Machine vision systems detect scratches, cracks, dents, discolouration, missing or deformed components, PCB solder defects, incorrect labels, seal integrity, and fill level. For complex or variable defects, we use deep learning that learns directly from images of your products.

How long does implementation of a visual inspection system take?

A typical implementation takes 4 to 12 weeks, depending on complexity. Stages include application analysis, camera and lighting selection, algorithm development, testing on your production line, and operator training. Deep learning projects may require additional time for model training.

What is automated optical inspection (AOI)?

AOI (Automated Optical Inspection) is a machine vision category dedicated to inspecting PCBs and electronic assemblies. It uses high-resolution cameras and specialised lighting to detect solder defects, missing or misaligned components, reversed polarity, and other issues typical of electronics manufacturing.

Can an automated system replace human inspection operators?

For repetitive, high-volume inspections requiring consistent precision, automated systems outperform human operators — they do not fatigue, work 24/7, and deliver consistent results. Operators remain essential for calibration and maintenance, but their time is redirected to higher-value activities.

Ready to automate your inspection?

Tell us about your production line and we'll design a solution around it.

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