Web App for Smart Refrigerator, using Intel Edison and AWS service.
- Determine food category(label) in the refrigerator by image recognition, and update the information on the server and mobile App.
- Maintain a real-time data of food collection in fridge with related information(calorie, weight, expiration date, etc.)
- Track food expiration dates and monitor the internal temperature and humidity of the refrigerator.
- Give users recipe recommendations based on the current food in the refrigerator.
- Detecting the motion of the user
- Capturing the image of the food and the image will be sent to AWS S3
- Weighing every food, then send its weight readings along with the image
- Collecting the temperature and humidity data
- Receiving and keeping the food image(S3)
- Detecting food label(Rekognition and functions in Lambda to derive the most relevant one)
- Analysing the meta data and storing the result into DynamoDB
- Displaying the foods in the fridge
- Real-time temperature & humidity and cal. Consumption tracking
- Recommendation for the recipe based on the current food in the fridge
Maoxin Hou - Hardware
Xiren Zhou - AWS Cloud
Yiqian Wang - Web App
For the layout of hardware in the fridge, we have a demonstration video: https://www.youtube.com/watch?v=imrrzTbKiTo
For the complete working process of the system, we have a testing video: https://www.youtube.com/watch?v=1YkmIRnyfyo
Our website for this project: https://iotcolumbia2019moha.weebly.com/
EECSE6765 IoT - SYS &PHY DATA ANALYTICS Prof. Zoran Kostic