VectorCam
AI-powered mosquito surveillance — accessible, standardized, scalable.
1 · What is VectorCam?
VectorCam combines an Android mobile app, a compact imaging attachment (macro lens + controlled illumination), on-device AI, digital data collection, offline-first operation, and centralized data management & integration. It supports mosquito classification — species groups, sex, abdominal status — where validated models exist, making routine surveillance more accessible, efficient, standardized and scalable.
2 · The surveillance challenge
Conventional entomology depends on scarce experts, microscopes, paper forms and delayed lab confirmation. Coverage is thin, data are fragmented, and decisions lag behind transmission. VectorCam shifts identification to the point of collection — guided, standardized, and digitally captured.
3–4 · How it works: hardware + app
📷 Imaging attachment
- Compact clip-on unit with macro lens
- Controlled illumination for consistent images
- Designed for low-cost local manufacturing
- Works with mid-range Android phones
📱 Mobile application
- Guided capture & specimen workflows
- On-device AI inference — no connection needed
- Digital forms: site, trap, household metadata
- Offline queue with encrypted sync
5 · AI & model validation
| Capability | Status | Notes |
|---|---|---|
| Species-group classification | Validated (study-specific) | 90%+ for several evaluated categories under specified conditions (Uganda 2023–24) |
| Sex determination | Validated (study-specific) | Within evaluated workflows; see manuscript |
| Abdominal status | Where supported | Only where validated models exist |
| New geographies / species | Requires re-validation | Performance must be confirmed per setting |
6–8 · Data, offline & integration
✔ Quality assurance
Image checks, confidence thresholds, expert review queues, duplicate detection, audit trails.
📴 Offline-first
Full workflow without connectivity; background sync, conflict handling, low-bandwidth optimization.
🔗 Integration
Centralized management, exports/APIs toward public-health information systems, district & national reporting.
9 · Evidence snapshot
*Provisional website content pending final manuscript & approved reporting language. Full methods & limitations: Research & Impact.
10 · Deployment & pilots
Implementation models: research validation → pilot → active implementation with training-of-trainers, district rollout and MOH integration. Status varies by country — see Global Programs.
Discuss a VectorCam pilot
Tell us your program, geography, and surveillance goals.
Request a Demonstration →