For the user to plan the future reasonable food intake, and to guide the specific surrounding business

Scanning the cell phone lens allows you to understand the nutritional structure of the food, fat, sugar, vitamins, protein, minerals accounted for the number, combined with users more than a week scan results of continuous data analysis, for users to plan the future of reasonable food intake, and to guide the specific surrounding businesses, this is the start-up company "micro-nutrition" Health Management O2O thinking.

In fact, rely on mobile phone cameras after the image recognition + specific food data search and matching, is not very new idea--once had meal snap did, Siri behind the lab Sri also recently launched a Ceres project, take a picture to tell the user how much calories in the food, Is the domestic takeaway platform hungry? Also on April Fool's Day put forward a similar concept product calorie camera ... However, "micro-nutrition" in their own technology and models, there are differences with the previous product of the special place.

First of all, in technology, the principle of micro-nutrition image processing is "image multidimensional module analysis", that is, the lens of the dish cut into N, the smallest module contains food and background of the database (team has previously accumulated 7,000 food data) to do a comparison, get the content of the components, and calculate the proportion of each ingredient in this dish. According to Bao, founder of micro-nutrition, at present, this technology for Chinese food recognition results are very accurate, especially in the user 360° multi-angle scanning, and fruit, Western food and a small amount of seafood is not, or light is too bright or too dark, will be due to the color of the dish is covered so that the recognition is not allowed.

Secondly, it is also interesting to identify how to build a business model. "Micro-nutrition," the idea is that each user if the continuous scan for more than a week, can be based on this continuous food intake data, coupled with the background pedometer recorded user movement data analysis, analysis of their daily diet structure is not reasonable, such as high fat content, low protein content, etc. According to the suggestion of the future reasonable diet plan. In the suggested section, a nutritionist can be accessed in the background and personalized dietary advice from a nutritionist. Two can also use the O2O way, based on lbs and large data, to find users can provide more healthy food businesses, so that users to these businesses to eat, and these businesses can provide the dietary data by the micro-nutrition users UGC or with the restaurant to cooperate to obtain.

In addition to the to C, micro-nutrition is also considered to the cooperation of the Merchant to provide them with the menu data, and they can provide the business of food nutrition structure data, as well as the restaurant diners favorite dishes of the data. For example, when the meal point, the user into the store to open micro-nutrition, will pop up a suitable for his food to eat out of the restaurant, and clearly show this dish of nutrients and proportion, this is the micro-nutrition and business can cooperate in the place.

Bao said, in fact, micro-nutrition is a portal, the entrance upward (health theme of fresh electricity dealers), down (businesses) have an imaginary profit model. And what they're going to do is grab the user first, he expected that the target group of the product is parents and children, because today's children are reading in school, parents are very concerned about the health of their children's diet, will be willing to let children use their mobile phone scan to track the child's diet.

And from my point of view, "the idea of micro-nutrition is really interesting, because before this health management app because of the user's continuous use of the lack of power and ultimately lose the viscosity, I think that ultimately is a record and analysis of the role of online products is difficult and the user daily life has a full interaction. But if you add health management and O2O to the food photo recognition, you can make the product closer to the user's life, it can know what you eat every day, you can give it timely feedback, this is not the previous product. But at present from the product level, the micro-nutrition UI and so on are still in the early stage, the individual feel the use is not fluent, there is a lot of grinding space.