CORE TECH

“Tuppence AI” is an independent research and development brand of Walklake. It is committed to strengthening the algorithm research and commercial implementation of artificial intelligence technology in the field of children's health.

1.7 billion
Cumulative morning inspection
99.7%
Accuracy
1 billion
The amount of data
Tuppence AI®——Focusing on children’s daily health check

“Tuppence AI” is an independent research and development brand of Walklake. It is committed to strengthening the algorithm research and commercial implementation of artificial intelligence technology in the field of children's health. After long-term technology accumulation and in-depth research, it has successfully applied big data analysis, in-depth learning, pattern recognition and computer vision technology to form a set of mature and complete algorithm R&D mode in the direction of children's daily health check image recognition.

 

The algorithm research and development mode helps the education institutions to complete the children's health inspection more efficiently and promotes the development of modern intelligent campus management field. 

 

Tuppence AI®can identify minor abnormalities, and the detection rate and speed reached the top in the world. This algorithm has obtained many national patents, the results of actual use are published in the World Medical Information Digest and have been certified by the world authority. So far, more than 1.7 billion morning daily health check have been conducted.

 

TECHNICAL ADVANTAGES

Quick identification of minor abnormalities

The identification items including red rash on hands, herpes on hands, fingernails, wounds on hands, red rash on the palate, herpes on the palate, red throat, tooth decaying, red eyes, abnormal temperature and many other abnormal signs. 

Impressive accuracy

The actual effect is published in the World Medical Information Digest, and has been certified by the world authority with an accuracy of 99.7%.

Neural network engine

Provide powerful driving force for site detection, physical sign recognition and more functions.

Billions of data

100 million-level data volume, algorithm self-learning, fast self-iteration.