Overview - Need

With greater emphasis on healthy living and healthier food choices, there is a need to track calorie and nutritional intake to better manage balanced diets and improve healthy lifestyle. Traditional and manual methods of identifying food types can be time-consuming and error prone. This technology aims to overcome these challenges by utilising advanced deep learning techniques for efficient and reliable food image recognition. By providing the capability to distinguish non-food images effectively, it helps to automate food logging to track calorie intake, enabling individuals to maintain a balanced diet and adopt a healthy lifestyle. 

Our Innovation - Approach

An advanced deep learning technology designed to recognise over 750 popular Asian food classes found in Singapore. It utilises state-of-the-art techniques in food image recognition to identify the primary food classes with the option to return the top predicted food classes for each image. It possesses the capability to distinguish non-food images effectively. It features a user-friendly Application Programming Interface (API) that can be seamlessly integrated into numerous applications such as automating food logging to track calorie intake, enabling individuals to maintain a balanced diet and adopt a healthy lifestyle. Additionally, it supports food diary recording and dietary control for patients with specific conditions like diabetes. The API operates on a computer server equipped with General Processing Unit (GPU) capabilities. What sets our technology apart is its exceptional accuracy in recognising Asian food images. 

Benefits

Tracking food images using a mobile phone and advanced image recognition for nutrition analysis offers convenient and accurate monitoring of meals. In addition, it offers the followings:  

• Provides real-time feedback on nutritional content. 
• Personalised insights into eating habits 
• Promotes awareness and mindful eating.  
• The visual record enhances accountability and motivation. 
• Integration with other tools allows for a comprehensive approach to health and wellness. 
  
  Overall, it simplifies tracking, improves accuracy, and supports healthier dietary choices. 
   

Applications

Potential applications for the Food Image Recognition for Asian Food include but not limited to:  

• Automated food logging for nutritional analysis 
• Food dairy recording and dietary control for patients with chronic conditions (e.g., diabetes) 
• Personalised food recommendation in Food and Beverage (F&B) industry 
• Integrated with other tools to provide a holistic view of an individual's overall health and allows for a more comprehensive approach to nutrition and wellness. 

If you're interested in this technology, please contact KTC.