- Your Trusted Smart Solution Partner
Leading the Way in Cracking Mosquito Born Disease
with GeoAI & IoT Technologies
STT Intelligent Mosquito Killer Lamp is a smart vector control system designed with an aim to reduce mosquito risk and provide mosquito disease index rediction. The system monitor and address the mosquito-borne diseases by geographical location in Hong Kong
A Sophisticated AI Design
Besides the core hardware which is a solar powered mosquito killer lamp utilizing UVC and electric current as the fundamental tools to kill the fly-in mosquitoes,
the important part of this system is the comprehensive set of sensors and software consisting of
Counter
that counts the quantity of mosquitoes killed
WebApp Dashboard
to enable illustration of the desired information on remote, portable or mobile devices
Cloud platform
for transforming GeoAI output into meaningful and exportable information
Wide scope sensor
to monitor the nearby weather and environmental parameters
System Architecture
Key Features:
- Instant killing of mosquitoes in our communities to reduce the risk of mosquito borne diseases
- Provide “real-time” monitoring and prediction solutions to predict mosquito risk index through creating a predictive model based on different environmental, rban, socioeconomic and weather parameters
- Achieve integrative planning and improve communication between public health officials and general public to identify the disease endemic zones and take real-time decisions for disease management and prevention practices
- Identify likely areas of mosquito breeding and dengue incidence
- Offer a truly compatible framework and integration to existing GIS platform.
New Generation Mosquito Killer Lamp
(more portable and flexible)
3-day Mosquito Index Prediction
The GeoAI and the Reporting WebApp
Manipulates and analyzes the data
The number of mosquitoes killed, the weather and environmental data and GIS Spatial information
Integrated with hardware adn GeoAI
llustrate the real time data such as quantity of mosquitoes killed, the weather information
Provide reports and Predicting hazards
predict the mosquito harmfulness risk in terms of mosquito index by location over the next 3 days