One of the main health issues Malaysia faced is dengue disease that is transmitted via Aedes mosquitos. The most prominence area of dengue cases in Malaysia is in urban area with construction site area reported the most. Till today, prevention and controlling methods are the only solution in combatting Aedes and dengue outbreak. The current aedes prevention approach via search and destroy involves manual searching of potential Aedes breeding habitat. The objective of this project is to develop an IoT based system called as the Aedes Breeding Habitat Localization System to locate watery areas, collect data and analyze data to improve understanding on potential Aedes breeding areas. The iterative and incremental prototyping approach has been used to develop prototype called ABLD. Also, an experiment for precision testing has been conducted to validate the system. Results found that time for data collection has been reduced tremendously and the collected data assist the health agencies improving data analytical process forecasting pattern and preventing future dengue outbreak. © 2018 Authors.