Think Digital
NEOTRAP · VECTOR INTELLIGENCE

Reimagining Mosquito Surveillance for Public Health Intelligence

NeoTrap automatically captures mosquitoes, identifies their species using built-in Edge AI, and securely transmits geo-tagged data to the Vector Intelligence Platform, helping public health teams track mosquito populations, identify emerging hotspots, and respond before outbreaks spread.

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Built for public-health programs, research institutions, aviation authorities, and field deployment partners.

NeoTrap device — chemical-free mosquito capture and surveillance unit
01 — The Problem

The problem: mosquito surveillance is still too reactive

Mosquito-borne diseases like dengue, malaria, Zika, and chikungunya are becoming harder to manage as climate change, urbanisation, and shifting disease patterns expand mosquito risk. In 2024, dengue reached an estimated 12.4M global cases, while malaria caused 263M cases and 597K deaths in 2023. Yet many surveillance programs still rely on manual collection, delayed reporting, and scattered field data. NeoTrap is designed to help turn mosquito capture into clearer, faster intelligence for public-health planning.

Dengue

12.4M cases

2024 global

Malaria

263M cases

597K deaths · 2023

Zika / Chikungunya

620K+ chikungunya cases

2024 Americas

01

Manual collection

Field data is often gathered by hand and reviewed after the fact.

02

Delayed visibility

Teams may not see rising activity until risk is already increasing.

03

Need for better intelligence

Surveillance data should help teams act earlier, not just report later.

Neo Trap device

Neo Trap – A Paradigm Shift

Redefining vector management by replacing reactive chemical intervention with a preventive, AI-enabled, and ecologically sustainable intelligence ecosystem.

02 — What NeoTrap Is

A smart mosquito capture and surveillance device.

NeoTrap is a chemical-free mosquito capture device with integrated Vector Intelligence. An autonomous surveillance node, it runs an on-device, two-stage computer-vision pipeline (YOLOv8 segmentation + EfficientNet classifier) that identifies and counts disease vectors (Aedes, Anopheles, Culex) at the edge, then transmits geo-tagged data to a cloud Vector Intelligence layer for density mapping and environmental-risk modeling.

Chemical-free capture

CO₂ imitates human breath to attract mosquitoes the way you naturally would, then airflow traps them. Safe for people, pets, and pollinators outdoors and in public spaces

Autonomous field operation

 Engineered for sustained, hands-free deployment across diverse environments, including parks, campuses, airports, residential areas, and remote sites

On-device AI detection at the Edge

Neo trap images each captured specimen and runs computer vision locally to identify species on the device itself, enabling real-time surveillance without the cloud.

Vector Intelligence dashboard

Geo-tagged data from every trap flows to the cloud and lands in one view: species counts, device status, geographic patterns, and surveillance signals

Interactive

Interactive NeoTrap Animation

See how NeoTrap's attraction, intake, capture, and intelligence workflow come together in one field-ready system.

  1. Attract
  2. Capture
  3. Image
  4. Identify
  5. Transmit
  6. Inform
▶Watch How NeoTrap Works

Interactive product walkthrough · Opens in new tab

03 — Vector Intelligence Platform

Turn capture data into surveillance insight.

Every NeoTrap in the field is a data node. The Vector Intelligence dashboard brings that data together into a single, real-time view — helping teams understand exactly what is being captured, where mosquito activity is rising, and which areas warrant closer attention. Instead of waiting weeks for manual lab results, surveillance teams get continuous, geo-tagged intelligence they can act on today

  • Species distribution
  • Mosquito count trends
  • Device uptime
  • Map-based deployment view
  • Zone activity
  • Low-confidence review
  • Exportable reports
NeoTrap Vector Intelligence interface showing on-device YOLO detection with real-time species classification
NeoTrap Vector Intelligence · On-device detection and surveillance insight
MosquitoWatch integrated surveillance dashboard showing detection metrics, environmental conditions, population trends, and active alerts
MosquitoWatch · Integrated surveillance dashboard with live alerts and population forecasting
04 — Validation & Field Evidence

Grounded in real specimens and partner-led validation.

NeoTrap's development is informed by field capture, specimen analysis, and validation work with academic partners. Early validation with Jahangirnagar University's Department of Zoology identified multiple mosquito species from field-captured specimens and continues to shape the surveillance roadmap.

22,362
mosquitoes captured
7-day trial · 3 units
8
species identified
Aedes · Anopheles · Culex · Mansonia · Armigeres
3
deployed units
field-trial configuration
Dec 2023
JU validation
Jahangirnagar University · Zoology
Researcher reviewing captured mosquito specimens under a microscope in a partner lab
Partner-led specimen review
Microscope close-up of a mosquito specimen used for species validation
Microscope-based species validation
05 — Deployment Use Cases

Three deployment models with Case Studies 
One surveillance platform.

NeoTrap can support mosquito surveillance across airport infrastructure, remote off-grid communities, and large-scale urban vector-intelligence programs.

CASE 01 · CIVIL AVIATION
01 / 03
Civil Aviation Dhaka deployment boundary map

Civil Aviation, Dhaka

Continuous, chemical-free monitoring across terminals, the WHO-mandated 400m perimeter, drainage zones, and staff and residential areas — meeting International Health Regulations (2005) requirements for vector-free points of entry and delivering species-level early warning for dengue, malaria, and Chikungunya

840units
2airports
5zone types
0chemical inputs
Use cases
  • Terminal monitoring
  • Perimeter surveillance
  • Drainage and vegetation zones
  • Staff and residential areas
CASE 02 · OFF-GRID DEPLOYMENT
02 / 03
Off-grid solar-powered NeoTrap deployment map

Off-Grid, Rural Deployment 

A fully energy-independent NeoTrap configuration engineered for the places conventional surveillance can't reach — rural communities, forest-adjacent zones, border regions, and sites with little or no infrastructure. Solar generation and high-capacity storage keep the network running around the clock, extending chemical-free vector intelligence into remote and underserved areas where mosquito-borne disease risk is often highest and monitoring is thinnest.

615 Wsolar panel
200 Ahbattery
~22 hautonomy
12 mosurveillance model
0chemical inputs
Use cases
  • Rural communities
  • Camps and border zones
  • Forest-adjacent areas
  • Low-infrastructure sites
CASE 03 · NATIONAL ROLLOUT
03 / 03
National rollout vector intelligence heatmap

National Vector Intelligence Rollout

A planned landmark deployment bringing city-wide vector intelligence to one of the world's most densely populated urban regions — pairing large-scale disease surveillance with a measurable improvement in residents' quality of life. Continuous, chemical-free monitoring turns an entire megacity into a live early-warning network, giving public-health authorities the granular, real-time data needed to stay ahead of dengue, malaria, and Chikungunya outbreaks

~32,000units
3jurisdictions
129wards
~306 km²coverage
0chemical inputs
Use cases
  • City-wide surveillance
  • Ward-level monitoring
  • Public-health planning
  • Long-term vector intelligence
06 — Trusted By

Our Customers/Partners

NeoTrap partners including Bangladesh Armed Forces, Central Police Hospital, Bangladesh Navy, Rooppur Nuclear Power Plant, National Defence College, The Aga Khan Academy, Gloria Jean's, Radisson Blu, Pan Pacific, ICT Division, and more
Partner With Think Digital

Build the next layer of vector intelligence with us.

Think Digital is seeking research, implementation, and technology partners to strengthen NeoTrap's evidence base and support responsible deployment.

Collaboration areas
  • Field validation
  • AI species-identification benchmarking
  • Molecularly confirmed reference datasets
  • Public health dashboards
  • Pathogen / genomics workflows
  • Government and NGO deployment programs
  • South and Southeast Asian vector surveillance
Based in
San Diego, California

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