Computer Vision Technology in Calorie Counting
When it comes to maintaining a healthy diet for health-conscious individuals, calorie counting must be done. Manually trying to compute how much fat or other nutrients you can get from eating a particular dish helps you control and balance your weight and blood levels. However, the traditional process of doing calorie counting takes a lot of work, including pondering over what cooking ingredients to use or typing products’ nutritional details into software applications. Multiple software companies built computer vision to address such concerns – a feature that allows devices to understand or interpret objects using digital videos or photos.
Using computer vision for nutrition tracking could benefit dieticians and health-conscious individuals to keep their calorie intake amounts in check. By using computer vision for calorie counting, you can already know your food’s nutritional value just by taking a picture or video of the dish. That could help people manage their health-related issues or weight loss, contribute awareness, and care for one’s body.
Individuals don’t usually adhere to their doctors’ recommended diet plans to keep themselves healthy. Moreover, manually trying to write down the number of calories included in every ingredient of a dish becomes a time-consuming activity. However, people suffering from diabetes or obesity need to keep track of their food intake and calories. Computer vision exists to help with such dilemmas.
The Allerin Application and Its Features
The Allerin app uses computer vision to make analyzing the number of calories less tedious and straightforward. Using the app’s system feature only requires people to take photos of their meals, and the embedded artificial intelligence algorithms would take care of the rest to accurately compute the included calories. The procedure consists of computer vision to click your snapped picture, upload it on an app, recognize the dish with its serving size, and analyze its calorie count. Automating the calorie counting process also aids in making you get your notepad and calculating the calories you consumed from the food you ate recently.
Additionally, computer vision could help inform the user on their meal’s number of carbohydrates, proteins, calories, and other included nutrients. An application consisting of the said system also saves previously available to aid in analyzing your next food’s calorie count. Moreover, you can share your gathered data with your doctor or dietician online to consistently track your dietary consumption. Due to its real-time tracking aspect, computer vision in calorie counting assists people to manage their diets better and aid health professionals to provide real-time feedback on their patients.
Nutrition tracking using computer vision could also aid in reducing healthcare costs due to both dieticians and individuals consistently updated with their dietary information. Additionally, the technology is also available for use with people who only want to keep themselves in shape and track their nutritional consumption. Sooner or later, computer vision would receive further updates by syncing an app’s previously gathered data into food delivery software.
The Future of Computer Vision Technology in the Healthcare Industry
Looking at the positive benefits of computer vision, its potential for being incorporated with other applications would prove beneficial to health professionals and individuals. Using the feature makes it highly reliable for automating the calorie counting process and keeping track of one’s nutritional information. Currently, the market for fitness monitoring and calorie-tracking apps is full of possible options and inclusions. However, the setback is that many apps still do not incorporate the use of computer vision technology in their structures.
Nevertheless, computer vision technology shows its positive impacts on the future of the health and medical industry. Knowing a meal’s calorie count could help people prevent consuming more nutrients than their designated intake.