Technology


Technology

More advanced than current studies in academia

Our technology is more advanced technology than currently being studied in academia. Despite recognizing thousands of foods, we achieved a high recognition rate of over 90%.

(Current recognition result in academia is about 68% in 80 classes.)

Multiple Food Recognition

Our recognition technology can recognize dozens of foods accurately at the same time.

Big Data from real user

Recognition performance is improved based on millions of actual user data collected through our services.


Our Services

   based on foodlens


Our Services

   based on foodlens

  Diet Camera

  Diabetes Camera

  Diet Camera

  Diabetes Camera


Characteristics

  • Food recognition

  • Nutrient search

  • Calorie calculation

  • Instant feed back of your meal

  • Proper intake guidance

  • Food log and glucose log

  • Thousands food recognition

  • User monitoring service for medical staff and etc.


Applications

Helthcare & Medical Solution

With FoodLens, you can applicate not only diet, diabetes but also business for medical, healthcare and fitness as well.

Big Data

With FoodLens, you can collect eating habits data by age, gender and region. The collected data can be used by food companies, restaurants, medical institutions, and governments.

Payment assistant/ Unattended Payment

Applying FoodLens technology, you can quickly process non bar code products in food courts, bakeries, and markets.

Insurance Company

With FoodLens, you can improve your customer health and you can get big data of your customer's eating habits. Based on this, you can design various kind of products.

Recipe Recommendation

With FoodLens, you can get recommendation recipes based on your eating habits. It also can provide various recipes recommendations based on food ingredients.

Helthcare & Medical Solution

With FoodLens, you can applicate not only diet, diabetes but also business for medical, healthcare and fitness as well.

Big Data

With FoodLens, you can collect eating habits data by age, gender and region. The collected data can be used by food companies, restaurants, medical institutions, and governments.

Payment assistant/ Unattended Payment

Applying FoodLens technology, you can quickly process non bar code products in food courts, bakeries, and markets.

Insurance Company

With FoodLens, you can improve your customer health and you can get big data of your customer's eating habits. Based on this, you can design various kind of products.

Recipe Recommendation

With FoodLens, you can get recommendation recipes based on your eating habits. It also can provide various recipes recommendations based on food ingredients.