Abstract
Pet Home Companion is an intelligent system that tracks and monitors the status of a pet, including weight, movement pattern, and daily activity in order to determine the nutrition feeding portion throughout the day. Our solution targets the pet owners that live a busy lifestyle or travel regularly that their pets need to be taken care of without involving the risk of pet sitting or pet boarding. The indoor localization system that we have implemented turned out to be fairly inaccurate, but we have then improved the accuracy significantly through fine-tuning the parameters through linear regression and using least square error solver for coordinate estimation. Finally, through intelligent data collection and processing, we were able to achieve intelligent nutrition feeding based on the weight, movement pattern and daily activity level of the pet.
Indoor Localization that Tracks the Activity Level
Multiple scanning stations and iBeacon tag attached to the pet are used to monitor the daily activity level. The localization information will be analyzed to determined the daily feeding portion and alert the owner if there are any irregularities in the movement pattern of their pet.
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Software Components
AWS is used for cloud service and storage,
Raspberry Pi is used as bluetooth scanning station,
Node.js is used for building a web application.
Raspberry Pi is used as bluetooth scanning station,
Node.js is used for building a web application.
Multiple Sensors and Integrated FeederThe intelligent feeder integrates weight sensor, Google vision kit, Bluetooth iBeacon scanner to monitor the pet status and toggles the servo to feed the pet when the owner is not at home
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