The state government is launching an advanced mosquito control system using Artificial Intelligence and Internet of Things technologies to improve public health and fight vector-borne diseases like malaria, dengue, and chikungunya.
Called the Smart Mosquito Surveillance System (SMoSS), this AI-driven initiative was introduced by the Municipal Administration and Urban Development Department and will be rolled out in phases starting this month.
In its first phase, SMoSS will be deployed in 66 locations across six major municipal corporations: 16 in Greater Visakhapatnam, 28 in Vijayawada, seven in Nellore, six in Kurnool, five in Rajamahendravaram, and four in Kakinada. This follows the successful trial run conducted earlier in selected municipal wards.
The system uses smart AI-based sensors that can identify mosquito species, gender, and population density in areas prone to mosquito breeding. When mosquito numbers cross a set limit, the system sends alerts to the authorities, helping them act quickly and effectively.
“This initiative marks a shift from blind spraying to targeted, evidence-based mosquito control,” said Principal Secretary of MAUD, S Suresh Kumar. “The IoT sensors will allow us to detect density levels and act accordingly. The data collected will be analysed and used to alert both the municipalities and the public.”
To support the sensor system, drones will be used for spraying larvicides. These drones will help cover large areas more efficiently and reduce chemical use and manpower. “The drones will also reach mosquito breeding areas that are inaccessible for manual spraying,” added Suresh Kumar.
All the data from SMoSS will be stored on a central server and shown on a real-time dashboard, giving officials a clear picture of mosquito levels and the success of control efforts.
Implementation will be managed by specialised agencies, with performance-linked payments. Public complaints and feedback will be monitored using mobile apps like Vector Control and Puramitra.
Director of Municipal Administration, P Sampath Kumar, said, “This is a smart solution to a long-standing public health challenge. By using real-time data, we can identify hotspots, ensure timely fogging and avoid chemical overuse.”
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