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This research paper presents an automated
monitoring system developed using several technologies combining
cloud computing and the Internet of Things (IoT). The system
integrates motion sensing, image capture, and cloud-based facial
recognition (AWS Rekognition) powered by artificial intelligence
(AI) algorithms, designed to enhance security measures by tracking
and identifying individuals within designated surveillance areas.
Upon motion detection by a sensor connected to the Arduino
device, an image of the moving object (person) is captured. The
image is sent to Amazon S3, which triggers an AWS Lambda
function that uses Amazon Rekognition to recognize faces.
Combining Arduino hardware with serverless computing and
scalable cloud services provides a cost-effective solution to realtime
surveillance and identification.
Preliminary tests have shown their real ability in identifying
faces using motion alerting and prove their utility value for various
security and monitoring applications.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Emilija Velinova
Valentin Cvetanoski
Kliment Chakarovski
Daniela Mechkaroska
Ervin Domazet