التعرف على الطعام بالذكاء الاصطناعي
Clients snap a photo of any meal and Foodzilla's AI identifies the food items, estimates portions, and logs the تغذية data automatically. No more manual searching, just point, shoot, and log.
كيف يعمل التعرف على الأطعمة بالذكاء الاصطناعي
Foodzilla uses advanced computer vision to analyse meal photos in real time. When a عميل takes a photo of their plate, the AI identifies individual food items, estimates serving sizes, and matches each item to the most accurate entry in our تغذية database.
- Identifies multiple food items in a single photo.
- Estimates portion sizes based on visual analysis.
- Matches foods to verified تغذية database entries.
- Logs calories, macros, and micronutrients automatically.
التزام أفضل من خلال تسجيل أسهل
The biggest barrier to accurate food تتبع is the effort required. Manual food logging is tedious and error-prone. AI food recognition removes that friction. العملاء log meals in seconds instead of minutes, which leads to more consistent تتبع and better dietary adherence.
يعمل جنباً إلى جنب مع مسح الباركود
AI food recognition works hand-in-hand with barcode scanning. For packaged foods, العملاء scan the barcode. For whole foods and restaurant meals, they snap a photo. Together, these tools cover virtually every eating scenario.
Compare meal planning software
See how Foodzilla stacks up before you pick a tool for your practice.
شاهدها أثناء العمل
اكتشف برنامج Foodzilla المصمم حول هذه الميزة.