AI_Pet
Sold by: 快瞳科技（深圳）
Based on images/videos, breed recognition, individual recognition, and face detection of cats and dogs are realized.
Overview
The self-developed FANL-PET deep learning framework and MSA algorithm simultaneously compare the depth characteristics of multiple key points of the pet's face and nose pattern, extract the deep characteristics of the key point area, and use differences in native characteristics between different individuals to determine pet breed attributes and verify identity attributes. It can also be expanded to detect key facial points, physical detection, dog walking without a leash, etc.
Highlights
- High accuracy; optimized and improved algorithm models solve the effects of interference such as hair occlusion, contamination, and spatial environment to effectively reduce the misperception rate. The accuracy rate of cat and dog face recognition is over 95%, and the accuracy rate of dog nose pattern recognition is over 99%. An accuracy rate of 98.7% was achieved in cross-breed identification.
- Unique anti-cheating; facial and nose marks are biogenic signs that effectively prevent fraud such as tampering and substitution, and can be used as unique identification marks for pets.
- It is safe and easy to use and widely used; there is no need to bind to an external device or contact with the device during the logo recognition process. It is safer than implanting a chip. It can support various recognition methods such as cloud-based, side-side, and end-side offline computing and behavioral analysis.
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AI_Pet
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Kuaidong Technology provides you with 7*24 hours of technical service. If you encounter problems when using the product, you can get help through technical documentation, WeChat customer service, hotline, etc., and we will be happy to help you. For more information, please visit:
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