Business Impact

Estimate value with editable assumptions, see where CV pays off, and plan deployment.

Units inspected / yearDefect escape rate today (%)Extra defects caught by CV (%)Cost per escaped defect ($)Inspector labour saved ($/yr)Investment ($)

Annual benefit

$474,000

First-year ROI

216%

Payback

3.8 months

Benefit = units × escape% × catch% × cost + labour saved
ROI = (benefit − investment) ÷ investment

Default figures are illustrative; replace them with your own.

Industry use cases

Manufacturing

Defect detection, assembly verification

KPIs: Escape rate, false-reject rate, line speed

Retail & e-commerce

Visual search, shelf monitoring

KPIs: Conversion, out-of-stock time, basket size

Logistics

Parcel dimensioning, label reading

KPIs: Throughput, mis-sorts per 10k

Healthcare

Imaging triage, PPE compliance

KPIs: Sensitivity, time-to-read

Security & CX

Occupancy, queue length, access control

KPIs: Wait time, FAR/FRR, incidents

Agriculture

Crop disease, yield estimation

KPIs: Yield, chemical use per hectare

Deployment considerations

Build vs buy

Buy for commodity tasks (OCR, face detection); build when your data and defects are unique.

Edge vs cloud

Edge for latency, bandwidth and privacy; cloud for heavy models and fleet-wide analytics.

Data & labelling

Most effort goes into representative images and consistent labels, especially rare defects.

MLOps & drift

Monitor confidence distributions and input statistics; lighting or product changes silently degrade accuracy.