Case study 3 of 4
Field Vision
AI-powered quality checks for field technicians.
Infrastructure & field ops U.S. client
- Real-timePass/fail photo scoring
- Per-roleQuality checklists
- Human QADashboard with manual overrides
The challenge
Field teams needed a fast, reliable way to verify installation photos against strict quality checklists; manual review was slow and inconsistent across reviewers.
Our approach
We built an AI vision system that scores technician-submitted photos against role-specific checklists in real time, backed by a QA dashboard for human oversight.
Before
- Manual photo review, slow to turn around
- Inconsistent between reviewers
- No clear reason behind a rejection
After
- AI scores photos in real time
- Same checklist applied every time
- Criterion-level reasons, plus manual overrides
What we built
- AI photo verification against per-role quality checklists
- Pass/fail results with clear, criterion-level reasoning
- QA admin dashboard with map view & manual overrides
- Built for real field conditions, not lab demos
OutcomeA field-ready AI QA tool giving instant, explainable pass/fail feedback instead of slow manual review.