This capstone project presents the development of a smart surveillance and alert system that integrates IoT-based sensors and computer vision to enhance environmental monitoring and anomaly detection. Traditional surveillance ...

The safety of public restroom users, especially the elderly and individuals with certain health conditions, remains a serious concern due to the lack of a real-time incident monitoring system. Cases of slipping, fainting, ...

With the fast development of digital technology, cyber threats by malware and phishing attacks have gradually grown to be a regular and harmful occurrence. Most of these attacks focus on vital data, which comprise ...

Urban agriculture faces challenges in maintaining efficient, resource-conscious farming within limited spaces. Hydroponics offers a sustainable, soil-less alternative but often requires constant monitoring and technical ...

In the fast-paced environment of automotive manufacturing, even a small oversight in monitoring tools inside production machines can lead to costly downtime. At PT Mitsubishi Electric Automotive Indonesia, the Tool Center ...

This Project aims to build an automated facial recognition-based attendance system called late checker. The System ultilize the camera to detect and recognize employees faces as they arrive, making the attendance process ...

This Capstone Project presents the development of IoTendance, a smart attend- ance system that utilizes Internet of Things (IoT) technology to improve the transpar- ency, accuracy, and efficiency of attendance tracking. ...

In the modern educational landscape, Learning Management Systems (LMS) like Moodle are essential. However, they often lack the tools for providing immediate, personalized support to students, leading to disengagement and ...

In today’s fast-paced corporate world, delivering a seamless and efficient guest experience is essential to reflect professionalism and build lasting trust. At PT Bintang Toedjoe, hospitality plays a crucial role in ...

Late Checker is a real-time attendance tracking system that uses face recognition technology to record employee presence through live video surveillance. This system was developed to reduce manual attendance processes ...