AI Quality Pilot
In 12 weeks, deploy a vision-based defect-detection system on one production line with a real-time dashboard, alerting, and a clear ROI report.
Duration
12 weeks
Indicative price
$75K–$150K fixed
Engagement model
Productized sprint · weekly demos · acceptance criteria signed
Who it's for
Built for mid-market manufacturers stuck between paper and a $1M SI quote.
- Has visual quality checks done manually or by spot inspection
- Defects costing $100K+/year in scrap, rework, or warranty claims
- 1+ production line suitable for camera installation
- Quality leadership willing to invest in 12-week pilot with measurable outcome
Manufacturing Plant
Replace with photography
Scope by week
What's in the sprint, week by week.
- Weeks 1–2: Quality process audit + line selection + camera placement plan
- Weeks 3–4: Camera hardware spec + data collection setup
- Weeks 5–8: Model training + iteration (with operator-in-the-loop labeling)
- Weeks 9–10: Edge deployment + real-time dashboard build
- Weeks 11–12: Production validation + ROI report + scale plan
Deliverables
What you walk away with
- Vision model deployed at the edge (NVIDIA Jetson or equivalent)
- Real-time defect detection dashboard
- Alerting integration (Slack, MS Teams, or shop-floor MES)
- ROI report with before/after metrics
- Path-to-scale plan for additional lines
Tech stack
How we build it
- Vision: PyTorch / TensorFlow + transfer learning
- Edge: NVIDIA Jetson Orin or Hailo-8
- Backend: FastAPI, PostgreSQL
- Dashboard: React + recharts
- Hardware: cameras procured by client (~$5K–$15K), we spec + integrate
Typical year-1 ROI: 3–8× on scrap and rework savings alone.
Discovery is a 30-minute structured conversation. No pitch. No slides.
Book a Shop Floor Audit