
Based on a self-developed deep learning framework, the visual detection algorithm supports the recognition of pet facial features in static images and dynamic video streams. By comparing key points, it detects the inherent feature differences between different individuals, accurately achieving capabilities such as individual identification and subject tracking.

Real-time comparison of the key point information of the pet's face to complete individual identity verification, and establish personalized data files for each cat.

Quickly capture the main subject of the pet in the picture, allowing the owner to keep track of the pet's condition at any time and capture the wonderful moments in daily life.



Scientific control the calorie intake of each cat and achieve personalized diet management for multi-cat households.


New users can get a free Demo trial experience.

Enjoy continuous SDK optimization and updates during the cooperation period.

Professional support from R&D and after-sales during the cooperation period.

Custom development available based on customer needs assessment.
Fill in basic information and submit a trial application.
Our professional team will communicate with you about specific needs.
Provide SDK integration technical support.
Officially sign the contract and start in-depth cooperation.