With broader and broader application of the internet, people could save their time significantly, and a most recent development is IoT, the Internet of Things, is an outstanding methodology to tackle time-consuming problems. In the campus of HKUST, hall residents need to repetitively check the occupancy of a laundry machine at peak hours. Considering this situation, this team purposed an IoT solution to track the laundry machine vibration status with sensor connected to a Raspberry pie, analyze the data, conduct internal judgement to determine the occupancy status and upload to a webpage with real-time updates. They have constructed a prototype and won the golden award of President’s Cup. Flaws do exist, though the judgement can hardly guarantee a precise result and the product needs manual adjustment before usage. As a result, for one semester, the team worked to upgrade the product and install them in one UST Hall and put to use. The first improvement is the sensor, electrical current sensor and 3 dimensional acceleration sensor, in lieu of vibration sensor. The second is self-learning algorithm what can adjust the judgement condition automatically. With these improvements, hopefully, the product can actually be installed and contribute to the residents’ quality of life.