Artifical intelligence-based

Automated extraction & recognition technology
of companion dog biometrics information (nose prints)

Real-time detection and classification
of companion animals

Various objects are photographed altogether while recording with a smartphone camera.
While photographing a dog, other animals such as a cat, or your family, may be included.

Our in-house developed object detection technology
can precisely seek and classify your companion animals.
Just a dog can be recognized for registration.

Petnow app also detects kinds of companion animals, and is working to support various animals for registration.
(Recognition support for cats is scheduled for first half of 2022.)

Improvement of individual recognition performance
with artificial intelligence-based quality assessment

All the data cannot be perfect as blurry images are photographed in dark places.
Data of companion dogs can be imperfect as they tend to move continuously.

Our technology utilizes proprietary machine learning technology to instantly assess the quality of photographed nose print, and automatically retries the acquisition process when quality is insufficient.

Higher quality images can be obtained through this process.

Automated camera control

Based on data acquisition experience of nose prints, Petnow Inc. has implemented the most optimal automated camera control technology.

Our app automatically focuses on a dog's nose, controls the camera with brightness and quality assessment resuly accordingly for obtaining higher quality images.

Minimalization of user effort

After a companion animal is automatically found in the video while a camera is running in our app, a dog is categorized, and then the quality of biometrics information(nose print) is inspected.

The camera is controlled accordingly for continuosly improving the quality of acquired data.
With machine learning and artificial intelligence technology,
all the process above is done promptly and automatically.

A user can simply execute our app on his or her smartphone, and point at a dog for easily obraining high-quality nose print images.

Artifical intelligence-based

companion dog identification technology

Artificial Intelligence Deep Neural Network
optimized for companion dog identification

For past decades, biometrics-based identification solution has been focused on humans.

Attachment of tags, livestock branding, and microchip implantation have been used for identifying animals.

Through our proprietary research technical skills and university cooperation research, a new artificial intelligence neural network that is optimized for identification of dogs has been developed.

98+% accuracy has been achieved with our technology specialized in nose print identification, and the achievement has been published on IEEE Access successfully after getting approved by peer reviewers.

Assessment of performance

*Same colored points are the same dogs, and performance of differentiation is higher when they are closer.
*Different colored points are different dogs, and performance of differentiation is higher when they are farther.

Google Inception Module shows approx. 90% recognition success rate.
Our deep neural networks shows approx. 98% of recognition success rate.
(as published on IEEE Access: 'Dog Nose-Print Identification Using Deep Neural Networks')

High speed search function
with parallel processing

Millions of nose print information can be inquired instantly by adapting cutting edgy parallel distributed processing solution and our neural network designed optimally for looking up identification information.

Advancing artificial intelligence deep neural networks

Our artificial intelligence does not stay as is.
As more data is collected, its performance is improved with recurred studies, and next-gen artificial intelligence neural network technology can be designed.
Our research has been continued to exceed accuracy and convenience of human biometrics identification technology.

Data protection

Results of our artifical intelligence dep neural networks consist of random numbers that are irreversible, nor they can be understood by people.
Once nose print data is processed, it is safely encrypted before getting stored in a cloud storage.