Development of intelligent kennel system/ Ron Dexter S. Armonio, Ruel John Essel O. Catanyag, Paul Lourence C. Dancel, Francis Xavier Pallileo, Reiven Rose A. Sobreo .--
Material type:
TextPublication details: Manila: Technological University of the Philippines, 2023.Description: xii, 104pages: 29cm. +1 CD-ROM (4 3/4in.)Content type: - BTH TK 5105.59 A76 2023
| Item type | Current library | Shelving location | Call number | Copy number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|---|
Bachelor's Thesis CIT
|
TUP Manila Library | Thesis Section-2nd floor | BTH TK 5105.59 A76 2023 (Browse shelf(Opens below)) | c.1. | Not for loan | For library use only | BTH0004742 |
Thesis (undergraduate)
College of Industrial Technology.-- Bachelor of Engineering Technology major in Electronic Communications Technology: Technological University of the Philippines, 2023.
Includes bibliography:
This study introduces the Intelligent Kennel System. The prototype replaces traditional
kennels by offering a convenient, and remotely accessible solution for both dogs and their
owners. Key features include an automated dispensers with customizable schedules ensure
consistent and convenient feeding and watering, even during power outages and internet
disconnection. A servo motor functions as the automatic switch, controlling the opening
and closing of both compartments. An ultrasonic level sensor continuously monitors
remaining quantities within the respective compartments. The system maintains a precise
volume of remaining resources and triggers timely notifications upon depletion.
Temperature sensors maintain optimal comfort levels within the kennel. A relay ensures
effective temperature control by activating the cooling fan upon receiving the appropriate
signal. The camera module allows live video of the pet within the kennel. Lastly a user-
friendly mobile application allows for real-time monitoring and controlling. Extensive
testing has confirmed the functionality, reliability, and adaptability across hardware and
software platforms. Feeding schedules were executed reliably, with average response times
between 2.07 and 3.33 seconds. Mobile app control varied slightly based on device and
Android version but remained quick around 2.2 seconds. Newer devices with faster
processors displayed faster response times. The automatic temperature control system
efficiently maintained desired temperatures while minimizing fan usage. Live feed camera
latency was lower on newer devices and Android versions, displaying the feed within 2
seconds compared to 3-5 seconds of the older devices. Prototyping evaluations yielded
highly positive results, receiving "Very Acceptable" with numeric rating of 4.47
classifications for functionality, aesthetic, workability, durability, economy, and safety. The
prototype represents a significant advancement in dog care, seamlessly integrating smart
technology to blend pet ownership and the evolving landscape of innovation.
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