AI Meal Scan Uses Image Recognition to Track Nutrients & Portions
Laura McQuarrie — December 4, 2024 — Tech
References: mynetdiary & prnewswire
Nutrition and diet app MyNetDiary introduced a new technology, AI Meal Scan, to improve the way millions of users log what they're eating and keep tabs on their portions and nutrients. The fast, easy and accurate AI Meal Scan makes the most of cutting-edge image recognition technology and proprietary food analysis algorithms so that users need only snap a photo to track their food—and AI Meal Scan recognizes everything, right down to toppings and sauces.
Gleaning from MyNetDiary's industry-leading database of 1.7 million verified foods, AI Meal Scan can identify multiple items in a single image, estimate portion sizes and calculate up to 107 nutrients. Impressively, this AI-powered technology outperforms human estimates without a food scale at an accuracy rate within ±20%.
Gleaning from MyNetDiary's industry-leading database of 1.7 million verified foods, AI Meal Scan can identify multiple items in a single image, estimate portion sizes and calculate up to 107 nutrients. Impressively, this AI-powered technology outperforms human estimates without a food scale at an accuracy rate within ±20%.
Trend Themes
1. AI-driven Nutritional Tracking - Utilizing advanced image recognition, AI-driven nutritional tracking enhances accuracy in diet logging by identifying food items and their nutritional content from simple photos.
2. Automated Portion Estimation - Automated portion estimation technology streamlines the process of food logging, providing precise portion sizes and nutrient calculations without the need for manual input or food scales.
3. Comprehensive Food Databases - Comprehensive food databases integrated with AI tools offer extensive data on millions of verified foods, ensuring a broad and accurate scope for diet and nutrition tracking applications.
Industry Implications
1. Health and Wellness Technology - Health and wellness technology advances with innovative solutions like AI-powered meal scanners that elevate user experience in dietary management.
2. Artificial Intelligence in Nutrition - Artificial intelligence in nutrition redefines food tracking through machine learning and image recognition, providing reliable and user-friendly dietary insights.
3. Mobile App Development - Mobile app development benefits from integrating AI capabilities, offering users sophisticated tools for managing their nutrition and health on-the-go.
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