Development of a food detector using image processing through camera sensor innovation

Indonesia is currently struggling with stunting, wasting, obesity, and micronutrient deficiencies. Nutritional imbalance, which varies by gender, age, and activity level, contributes to these issues. This research developed a food detector with an innovative camera sensor to accurately measure food calories. The study adopted a developmental approach, using a pre-experimental design and “post-test only” research. The study included various food ingredients with calorie counts. Camera sensors were used instead of load cell sensors to weigh food and convert it to calories. Camera sensory testing was done on processed food samples. A number of food image data tests showed high accuracy. With test results close to real data, the device showed promising accuracy. This model system used camera resolution to detect calories, helping people measure and manage their diets in quality and quantity. We hope this technology will continue to improve, making it more accessible and aiding nutritional management.