Develops a scalable IoT-based mosquito control system that autonomously identifies mosquito species, counts populations, and provides real-time data on vector-borne disease risks. This technology addresses gaps in mosquito surveillance and management, offering an affordable solution for public health in underdeveloped and developing countries.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current mosquito control methods rely on manual collection and classification, which is time-consuming, labor-intensive, and provides limited real-time data for effective intervention. This lack of timely and accurate information hinders the ability to optimize resource allocation and proactively manage vector-borne disease risks, particularly in underdeveloped and developing regions.
Solution
TrakItNow's Moskeet is an IoT-based smart mosquito control and management solution that automates mosquito species identification, population counting, and real-time data dissemination. The system employs a smart trap that captures a broad spectrum of mosquito species using multiple attractants and sensors. Captured mosquitoes are autonomously counted and classified by gender, species, and sub-species using light and audio sensors that analyze wing beat frequencies, coupled with an AI layer for species identification. Data is transmitted in real-time via the company's proprietary IoT platform to a web or mobile application, providing stakeholders with actionable intelligence for optimized resource allocation and proactive disease management.
Target Audience
The primary target audience includes public health organizations, municipalities, and vector control agencies in underdeveloped and developing countries seeking affordable and scalable solutions for mosquito surveillance and management.
Features
- Smart trap design utilizing multiple attractants and sensors to capture a broad spectrum of mosquito species
- Autonomous mosquito counting and classification by gender, species, and sub-species
- Real-time data dissemination via web and mobile applications
- Proprietary IoT platform for data collection and transmission
- Light and audio sensors to capture mosquito wing beat frequency
- AI-powered species identification based on wing beat frequency analysis
- Remote monitoring and maintenance capabilities for device health and configuration
- Intelligent and predictive analytics, including mosquito maps by location, gender, and species