Serenivice: An Arduino-Driven Automated Flea Repellent Device with Computer Vision Integration for Cat Flea Management

Abstract

In the domain of feline flea management, the use of traditional repellents can inadvertently expose humans to health risks arising from potential cat aggression or fear responses. These reactions, encompassing injuries, infections, and skin irritations due to direct contact with fleas, underscore the need for a more sophisticated approach. An innovative solution is presented: an automated flea-repellent device designed to administer treatment and attract cats without human intervention. This device is equipped with a sensor that triggers the emission of flea repellent spray, while strategically placed attractants entice feline companions to create a soothing environment. Accompanying this is an intuitive mobile application serving as an alternative control method equipped with a computer vision, which allows remote monitoring of cat and flea presence. Notably, this study assessed the device and application using ISO 25010:2011 software quality standards, focusing specifically on functional suitability, usability, performance efficiency, and portability. The results indicate an overall mean satisfaction rating of 4.53 out of 5.00, signifying its effectiveness and safety. Additionally, the FOMO MobileNet V2 0.35 attains exceptional precision, recall, and a perfect F1 score of 1.00 in identifying background instances. However, challenges in the cat class, with 62.8% accuracy and a 32.8% error rate, suggest opportunities for improvement. Meanwhile, the model excels with 100% accuracy in flea detection. The nuanced evaluation, reflected in F1 scores, indicates a perfect balance in the background class and moderate performance in the cat and flea classes.