Calories are are measurements of stored (potential) energy. To lose weight, you need to eat fewer calories than you burn. In theory, this sound simple. Calorie counting is one way to tackle this problem, and its commonly used for weight loss. But that requires a lot of effort – there is no easy way to count calories.
This is where a new gadget called the Smart Plate comes in. Its being touted as the world’s first Intelligent Nutrition Platform that uses advanced photo recognition and AI technology to track everything you eat.
Food-scale-and-log systems typically require a user to weigh a meal’s food items individually, then manually enter each weight into a tracking application to get food values. The WiFi and Bluetooth enabled SmartPlate TopView does away with all of that.
The portable and washable plate sits on top of a countertop dock for weighing food items. An accompanying app uses the camera on your smartphone and image recognition technology to scan your meal. Smartplate then compares the results with USDA’s database of more than 8,000 foods and another database with more than 100,000 restaurant meals and 300,000 different grocery food items.
The company behind the device, Fitly, says it can instantly detect more than 1,000 foods with the highest degree of accuracy, validated and tested by a 3rd party study. The gadget allows you to track both macronutrients (protein, carb, fat) and micronutrients (fiber, sugar, sodium). Your smartphone journal will automatically log your meals for up to a year. By tracking calories, the goal of Smart Plate is to help you lose weight.
Philadelphia-based Fitly has just started shipping to backers of their two year old Kickstarter campaign for a device that also includes a SmartPlate Cam. It is now raising additional funds on Indiegogo for a version that connects instead to your smartphone.
A revolutionary concept? Probably not. But an interesting idea nevertheless.
Price: $79 and up
$11,858 USD raised by 65 backers, 47% of $25,000
17 days left – funding closes Dec 24 2016
Estimated delivery: Dec 2016