Enhancing Dog Tracking Through Dynamic Geofencing and Environmental Awareness
With the development of smart technologies, tracking businesses have evolved as tracking collars are now becoming the most crucial piece of safety equipment as well as monitoring tools for dogs. Various solutions like Fi Smart Collar and SpotOn have promising features such as geofencing and activity tracking but integrate with their smart product with less features lacking dynamic geofencing environmental awareness, as well as intelligent system connectivity. The paper proposed a new dog tracking collar system that integrates the use of GPS, Bluetooth, Wi-Fi, and environmental sensors all together onto a unified platform. The system employs an adaptive geofencing module which is dynamic and responds to changes in the environment, including weather and time, as well as different behaviors of pets, keeping it safe within the intended zones. The other advantage with this collar is the maximization of battery life, as it has used low power GPS tracking and intelligent algorithms to adjust the frequency of tracking in line with the assessment of the movement and risk of the pet. The system further integrates into smart home technology and will notify and automatically respond in real-time to changes that might be detected within the pet's environment. The comparative analysis of the current technologies for pet tracking shows significant improvement in accuracy, battery efficiency, and responsiveness to dynamic conditions. The proposed collar was tested and validated by controlled trials and real-time performance assessments, for which considerable results evidenced the reliability and effectiveness for real-time applications. This proposed framework thus would eventually be able to act as a potential future solution that integrates advanced technologies for enhanced pet welfare and with real-time dynamic geofencing and AI in order to create a whole system of pet monitoring.
Authors
- P A Saikrupa
- G Dhaarini
- R Sanjai
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icicnis64247.2024.10823373
- Primary Topic
- Human-Animal Interaction Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00