IntelliMug Smart Mug Warmer System ITT569 (IoT) Mini Project Demonstration

[00:00:01][music] >> Have you ever poured yourself a hot cup of coffee, >> [music] >> got distracted by work or a phone call, >> [music] >> and came back to find it ice cold?

[00:00:24]You're not alone. This happens to students [music] and office workers every single day.

[00:00:30]>> The problem is simple.

[00:00:32]Traditional mug warmers just heat continuously.

[00:00:36]>> [music] >> They don't know if you're there or not.

[00:00:38]They waste electricity and can overheat your drink, and you can't tell if your drink is hot or cold without touching it.

[00:00:46]>> [music] [music] >> Introducing IntelliMug, an IoT-based mug mug warmer. It uses an ESP8266 as the brain, a PIR sensor to detect your presence, [music] a thermistor to read temperature, a relay to control the heater, and an RGB LED to show the status.

[00:01:10]Everything is connected to Firebase for cloud logging.

[00:01:17]>> Here's [music] how it works. When I'm at my desk, the PIR sensor detects my presence.

[00:01:28]The relay clicks on and the mug warmer starts heating.

[00:01:32]The RGB LED shows the temperature status.

[00:01:38]>> All this data is sent to Firebase in real time. [music] You can see the temperature, user status, and relay state updating live on our dashboard.

[00:01:46]>> [music] >> But, when I step away, the system knows I'm not there. [music] After 2 minutes of no motion, the relay clicks off saving energy.

[00:02:05]>> [music] >> The LED turns red to show the drink is cooling down.

[00:02:10]Okay, the system also logs this as a break duration. So, every time I leave and return, >> [music] >> it records the time. So, after several break, it learns my pattern.

[00:02:25]Okay, this is where it gets smart.

[00:02:28]After collecting a break data, the system calculates a moving average and [music] predict when I'll return. So, the RGB LED change color based on the temperature.

[00:02:39]Red when it's [music] cold, yellow when it's warming up, and green when the drink is at optimal temperature.

[00:02:48]So, when I sit back down, >> [music] >> my coffee is warm and ready.

[00:02:53]Perfect.

[00:03:00]Okay, now we in the dashboard section where you can monitor everything through our dashboard. Like temperature, user presence, [music] um relay status, break history, and predicted return time. All in one [music] place, updating in real time.

[00:03:13]The dashboard auto refresh every 5 seconds with countdown timer.

[00:03:19]Intellimug, keeping your coffee warm so you can focus on what matters.

[00:03:23]We are students from Uitm Jengka and this is our IoT project.

[00:03:27]>> [music] >> If you enjoy this, please like, comment, and subscribe.

[00:03:32]Thank you.

[00:03:34]>> [music]