Updated July 2026 · 6 min read · Adente Vision Engineering Team
Asking "what does it cost" and expecting one number is how inspection projects get mispriced. The purchase price is the smallest and most visible part of the total. The costs that actually decide the outcome are spread across the system's life, and most of them never appear on a quote. You can compare them without a price at all.
What are the five cost buckets?
Hardware is the obvious one. The other four are where systems diverge: the integration hours to get to a first inspected part, the effort to assemble and label training data, the ongoing maintenance of however many components and vendors the system has, and the running cost of escapes, every missed defect that reaches a customer. Add those, and the cheapest device can be the most expensive system.
The five buckets, and what to measure
| TCO bucket | What drives it | What to measure |
|---|---|---|
| Hardware | One enclosure vs a multi-part stack | Components and spares to maintain |
| Integration hours | About 30 min install vs weeks | Engineering time to first part |
| Training data | About 20 good images vs a labelled set | Time to collect and label |
| Maintenance | Fanless, one supplier | Failure points and vendor count |
| Escapes | Escapes avoided at a 0.69% FNR | Cost of a missed defect |
The last row is the one left off most spreadsheets. Escapes are a recurring outflow, and a lower false-negative rate is a recurring saving, so it belongs in the lifetime model, not just the quality report. For how to price one escape, see the cost of a missed defect.
Where does a pre-integrated edge unit compress cost?
In three buckets at once. Integration drops to about 30 minutes with no vision engineer; the dataset effort drops to about 20 good images; and maintenance is one fanless enclosure from one supplier rather than a rack of components. On-device inference at about 30 ms per part removes the cloud compute and data-egress cost a cloud pipeline carries forever, and keeps imagery on the line. For that architecture argument, see edge vs cloud visual inspection.
The escape bucket closes on proof: a 0.69% false-negative rate with a 99.65% F1-score on a live cap-inspection line. Adente Vision is an edge-AI visual inspection unit built by ADENTE Advanced Engineering Technologies, part of the Aden Group, sold through automation system integrators, so a scoped quote comes through your integrator once the TCO case is clear. See the integrator model, and the pillar on AI visual inspection.