Develop an AI system leveraging computer vision and machine learning to monitor and analyze animal behaviors in real-time. This system will aid animal shelters and welfare organizations in identifying stress, illness, and atypical behaviors, improving overall animal care and management.
The primary users will be staff and management at animal shelters, rehabilitation centers, and wildlife sanctuaries who are responsible for the care and monitoring of animals.
Animal welfare organizations struggle to monitor individual animal behavior continuously and accurately, leading to delayed interventions in stress or health issues.
There is significant regulatory pressure to improve animal welfare standards, and organizations recognize the cost savings and efficiency gains from early intervention in health issues, which this solution can provide.
If not addressed, animals may experience prolonged stress or illness, resulting in higher treatment costs, increased mortality rates, and potential non-compliance with welfare regulations.
Currently, animal behavior is monitored manually by staff, which is labor-intensive and prone to errors. Existing software solutions lack real-time analysis capabilities and predictive insights.
Our system uniquely combines real-time monitoring with predictive analytics, offering a proactive approach to animal welfare that sets it apart from traditional, reactive management practices.
We plan to engage directly with animal welfare organizations through industry conferences, tailored workshops, and partnerships with regulatory bodies to showcase the benefits and capabilities of our system.