AI video analyticsscenario
Quality control and line defects
Defects in the stream · alerts to the floor lead · 3–6 week pilot · from 250,000 ₽
Fewer defects reach the customer: event on the line → alert → shift log.
Computer vision for quality control
The model watches the line or inspection post and flags defects before shipment: surface, shape, completeness, marking. Leadership sees which section quality drops on — without watching hours of footage by hand.
We train on your frames for your product: not a generic “box,” but defect rules agreed before the pilot starts.
The pain we close
Defects reach the customer — returns and reputation damage
The inspector fatigues and misses defects at line speed
No stats by defect type and shift
Cameras exist, but nobody reviews the archive systematically
What’s in the pilot
Defect scenario
We lock what counts as a defect, the camera angle, and line speed.
Training on your frames
Sample labeling, a model for your product, trigger thresholds.
Alerts and log
Event to Telegram/log/MES — with a frame and a timestamp.
Acceptance by metrics
Precision/recall and false positives — in the contract; a shift-level pilot report.
Cloud or on-prem
Cloud / external contour
A fast pilot start if data can be processed outside the site perimeter.
On-prem on site
Inference on a server by the line / inside the plant contour — when frames and events must not leave the site.
Pilot program
3–6 weeks1 line / post · 2–4 cameras · 1–2 defect types
What’s included
- Line review and defect-rule lock
- Labeling and model training on your frames
- Alerts to the floor lead and an event log
- Pilot report and scale recommendations
Success criteria in the contract
- Target detection metrics agreed before kickoff
- Acceptable false-positive level — in the contract
- Events reach the agreed channel
What we measure
- Share of correct detections on a holdout sample
- False positives per shift
- Time to alert
- Coverage of defect types from the pilot spec
Related experience

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FAVORIT
Costbl — SaaS cost estimation for metal parts from drawings
More than 5 months, two stages. Stage 1 — prototype: AI chat and PDF parsing (screenshots in the stage 1 block). Stage 2 — current state: full calculation (video in the stage 2 block). Product: https://costbl.ru/

MOS TUBE
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EURO MONOLIT
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We did SEO optimization and search prep for the site. We work in tandem with their SEO and marketing: edits within a day. Client on monthly support.
Cost guides
A pilot is usually 1 zone and 1–2 defect types. Cameras and server — by the site; the full driver block is on the hub.
| Package | What’s included | Price | Timeline |
|---|---|---|---|
| Quality-control pilot | 2–4 cameras / 1 zone, labeling, model, alerts, report, criteria in the contract | from $2,841 | 3–6 weeks |
| Line / several posts | More cameras, defect types, MES integration | by scope | from 2 months |
The full quote drivers block is on AI video analytics and in pricing.
FAQ
Do we need special cameras?
Existing cameras are often enough with decent light and angle. If not — we spec them. Hardware is in the pilot estimate only if we agreed that.
Do you guarantee 100% defect catch?
No. We lock target detection metrics on the pilot and watch false positives. The goal is stable control and process data — not “magic.”
How is this different from ordinary CCTV?
A VMS records the picture. Here — events: defect type, time, section. You can build reports by shift.
How long is the pilot, and what is in the contract?
Usually 3–6 weeks on 1 zone. The contract covers success criteria (detection metrics, alert channel) and what is out of scope (cameras/server if not agreed).
Request a defect pilot
Send photos/video of the line and defect types — we will estimate the pilot and success criteria in 1–2 days.
