The Portable Incubator For E.coli and Coliform Bacterial Growth Using IoT

Abstract

Clean water is essential to healthy lifestyles. This is because when E.coli and Coliform are in the water it indicates that pathogens and parasites have contaminated the water. Every day microbiologists in Malaysia monitor water quality to ensure that consumers obtain clean water. This portable incubator is therefore important for microbiologists to carry out inspections of water quality everywhere and does not necessarily make observations only in the Microbiology laboratory. The identification of E.coli and Coliform bacteria is achieved using both  qualitative and quantitative approaches. Detection was achieved for the qualitative process by injection of the reagent into a water sample using a sterile bottle. While for quantitative methods, the Quanti-tray used reagents to detect the presence of E.coli and Coliform, calculate the Most Probable Number (MPN) and 95 % Confidence Limit in a water sample. In addition, these innovations can also perform the incubation process manually. RoboRealm was used to identify E. coli and coliform for both methods based on color changes. The water sample used for this research was collected in two areas in the district of Johor, Kluang and Batu Pahat. Using computer vision and Internet of Things (IoT), two datasets containing more than 120 images have been used for the evaluation process and 30 images were randomly selected for calibration process. This innovation shortens the time for detecting the presence of E.coli and Coliform bacteria in just 2 hours, result can be viewed in real-time and the implementation of security two-factor authentication (2FA).