技术领域technical field
本发明属于计算机技术领域，尤其涉及一种移动终端的食物成份检测方法及系统。The invention belongs to the technical field of computers, and in particular relates to a method and system for detecting food components of a mobile terminal.
背景技术Background technique
现在的人们普遍缺少运动，所以白领人士、尤其是女性都很注重自己的饮食量以及饮食类型，而较为精确食物的组成成份进行分析设备，目前还停留在实验室环境。通过专业的机构获得的分析结果，成本高，时间周期长，无法实时获得结果，时效性低，并且对于不具备专业知识的人们来说，食物的检测门槛高，操作不便，检测装置便携性差。Nowadays, people generally lack exercise, so white-collar workers, especially women, are very concerned about the amount and type of food they eat, and the more accurate analysis equipment for the composition of food is still in the laboratory environment. The analysis results obtained through professional institutions are costly and take a long time, and the results cannot be obtained in real time, and the timeliness is low. Moreover, for people without professional knowledge, the food detection threshold is high, the operation is inconvenient, and the portability of the detection device is poor.
发明内容Contents of the invention
本发明的目的在于提供一种移动终端的食物成份检测方法及系统，旨在解决由于现有的食物检测装置结构复杂、可携带性差，导致食物检测装置可用性差的问题。The object of the present invention is to provide a food component detection method and system for a mobile terminal, aiming to solve the problem of poor usability of the food detection device due to the complex structure and poor portability of the existing food detection device.
一方面，本发明提供了一种移动终端的食物成份检测方法，该方法包括下述步骤：On the one hand, the present invention provides a method for detecting food components of a mobile terminal, the method comprising the following steps:
通过摄像头获取食物的图像并对所述食物进行光谱分析，以从所述图像中识别出所述食物图像并得到所述食物的食物信息和光谱数据；Obtaining an image of the food through a camera and performing spectral analysis on the food to identify the image of the food from the image and obtain food information and spectral data of the food;
使用预设的检测模型对所述食物信息和光谱数据进行检测分析，得到所述食物的食物成份及热量分布信息；Using a preset detection model to detect and analyze the food information and spectral data to obtain food composition and calorie distribution information of the food;
输出所述食物成份及所述热量分布。Outputting the food components and the calorie distribution.
另一方面，本发明提供了一种移动终端的食物成份检测系统，该系统包括：In another aspect, the present invention provides a food component detection system for a mobile terminal, the system comprising:
获取单元，用于通过摄像头获取食物的图像并对所述食物进行光谱分析，以从所述图像中识别出所述食物图像并得到所述食物的食物信息和光谱数据；An acquisition unit, configured to acquire an image of food through a camera and perform spectral analysis on the food, so as to identify the image of the food from the image and obtain food information and spectral data of the food;
分析单元，用于使用预设的检测模型对所述食物信息和光谱数据进行检测分析，得到所述食物的食物成份及热量分布信息；An analysis unit, configured to detect and analyze the food information and spectral data using a preset detection model to obtain food composition and calorie distribution information of the food;
输出单元，用于输出所述食物成份及所述热量分布。The output unit is used for outputting the food components and the heat distribution.
在本发明实施例中，通过移动终端的摄像头获取食物的图像并对食物进行光谱分析，以从图像中识别出食物图像并得到食物的食物信息和光谱数据，使用预设的检测模型对食物信息和光谱数据进行检测分析，得到食物的食物成份及热量分布信息，并及时输出食物成份及热量分布，提高了食物成份的检测效率，可有效帮助用户合理控制饮食，进一步提高用户移动终端的智能化程度和用户体验。In the embodiment of the present invention, the image of the food is acquired through the camera of the mobile terminal and the food is subjected to spectral analysis to identify the food image from the image and obtain the food information and spectral data of the food, and use the preset detection model to analyze the food information Through detection and analysis with spectral data, the food composition and calorie distribution information of the food is obtained, and the food composition and calorie distribution are output in time, which improves the detection efficiency of food composition, can effectively help users control their diet reasonably, and further improve the intelligence of users' mobile terminals level and user experience.
附图说明Description of drawings
图1是本发明实施例一提供的移动终端的食物成份检测方法的实现流程图；Fig. 1 is the implementation flowchart of the food component detection method of the mobile terminal provided by Embodiment 1 of the present invention;
图2是本发明实施例二提供的移动终端的食物成份检测方法的实现流程图；FIG. 2 is a flow chart of the realization of the food component detection method of the mobile terminal provided by Embodiment 2 of the present invention;
图3是本发明实施例三提供的移动终端的食物成份检测方法的实现流程图；以及Fig. 3 is the implementation flowchart of the food component detection method of the mobile terminal provided by the third embodiment of the present invention; and
图4是本发明实施例三提供的移动终端的食物成份检测系统的优选结构示意图。FIG. 4 is a schematic diagram of a preferred structure of a food component detection system for a mobile terminal provided by Embodiment 3 of the present invention.
具体实施方式detailed description
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
以下结合具体实施例对本发明的具体实现进行详细描述：The specific realization of the present invention is described in detail below in conjunction with specific embodiment:
实施例一：Embodiment one:
图1示出了本发明实施例一提供的移动终端的食物成份检测方法的实现流程，为了便于说明，仅示出了与本发明实施例相关的部分，详述如下：Figure 1 shows the implementation process of the food component detection method of the mobile terminal provided by Embodiment 1 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
在步骤S101中，通过摄像头获取食物的图像并对食物进行光谱分析，以从图像中识别出食物图像并得到食物的食物信息和光谱数据。In step S101, the image of the food is captured by the camera and the food is subjected to spectral analysis to identify the image of the food from the image and obtain food information and spectral data of the food.
本发明实施例适用于移动终端等便携式设备，例如，智能手机、平板电脑等，该移动终端至少包括摄像头和光谱分析仪或光谱分析模块。可选地，光谱分析模块可作为移动终端的独立可交互数据的配件。The embodiments of the present invention are applicable to portable devices such as mobile terminals, such as smart phones and tablet computers, where the mobile terminals at least include a camera and a spectrum analyzer or a spectrum analysis module. Optionally, the spectral analysis module can be used as an independent data-interactive accessory of the mobile terminal.
优选地，可在移动终端的摄像头拍摄模式中设置食物拍摄模式，当开启食物拍摄模式时，自动开启图像识别和光谱分析。进一步优选地，可为食物拍摄模式设置开启时间，当开启时间到达时自动开启食物拍摄模式，从而提高移动终端的智能化程度，其中，开启时间为用餐时间，例如，用户设置的三餐用餐时间。Preferably, the food shooting mode can be set in the camera shooting mode of the mobile terminal, and when the food shooting mode is turned on, image recognition and spectral analysis are automatically started. Further preferably, the start time can be set for the food shooting mode, and when the start time arrives, the food shooting mode is automatically turned on, thereby improving the intelligence of the mobile terminal, wherein the start time is the meal time, for example, the meal time for three meals set by the user .
具体地，可在移动终端拍摄食物的图像后，对拍摄得到的图像进行图像识别，以识别出图像中的食物图像，并获得图像中包括食物的食物信息，食物信息包括食物种类信息。例如，水果、蔬菜、肉类及米饭等。甚至更精确地识别出如苹果、香蕉、大豆、鸡肉及鸭肉等。Specifically, after the mobile terminal captures an image of food, image recognition may be performed on the captured image to identify the food image in the image, and obtain food information including food in the image, and the food information includes food type information. For example, fruits, vegetables, meat and rice. Even more precisely identify meat such as apples, bananas, soybeans, chicken and duck.
在摄像头拍摄食物的图像时，可通过移动终端的、或与移动终端连接的光谱分析仪对食物进行光谱分析，以得到食物中的食物成份及热量分布。更具体地，在拍摄过程中，预设的光谱分析仪对摄像头拍摄的取景框中聚焦的食物进行光谱分析，其中摄像头取景的焦点可以通过指令人为地或自动地获取。When the image of the food is taken by the camera, the food can be spectrally analyzed through the mobile terminal or a spectrum analyzer connected to the mobile terminal to obtain the food composition and calorie distribution in the food. More specifically, during the shooting process, the preset spectrum analyzer performs spectral analysis on the food focused in the viewfinder frame captured by the camera, wherein the focus of the viewfinder of the camera can be obtained artificially or automatically through instructions.
在步骤S102中，使用预设的检测模型对食物信息和光谱数据进行检测分析，得到食物的食物成份及热量分布信息。In step S102, the food information and spectral data are detected and analyzed using a preset detection model to obtain food composition and calorie distribution information of the food.
在本发明实施例中，可在移动终端预先存储食物成份和与其对应的的光谱数据，以便于对食物进行光谱分析。移动终端在得到光谱数据后，使用预设的检测模型对光谱数据进行检测、匹配，得到各食物成份及热量分布。当然，移动终端也可以通过移动通信网络或无线局域网将光谱数据发送给对应的检测服务器进行检测分析，以得到对应的检测结果。In the embodiment of the present invention, food components and corresponding spectral data may be pre-stored in the mobile terminal, so as to perform spectral analysis on the food. After obtaining the spectral data, the mobile terminal uses the preset detection model to detect and match the spectral data to obtain the food ingredients and calorie distribution. Of course, the mobile terminal can also send the spectrum data to the corresponding detection server through the mobile communication network or the wireless local area network for detection and analysis, so as to obtain the corresponding detection result.
在步骤S103中，输出食物成份及热量分布。In step S103, food components and calorie distribution are output.
在本发明实施例中，通过移动终端输出食物的食物成份及热量分布，从而及时提醒用户，以便于用户了解该食物的相关信息。具体地，可通过文本、语音或图像形式输出食物成份及热量分布信息。In the embodiment of the present invention, the food composition and heat distribution of the food are output through the mobile terminal, so as to remind the user in time, so that the user can understand the relevant information of the food. Specifically, food composition and calorie distribution information can be output in the form of text, voice or image.
优选地，在食物图像的相应位置标记出食物成份及热量分布并输出食物图像，从而更精确地标识出图像中食物的食物成份及热量分布，提高用户体验。其中，食物成份可包括：能量、脂肪、碳水化合物等。Preferably, the food components and calorie distribution are marked at corresponding positions of the food image and the food image is output, so as to more accurately identify the food components and calorie distribution of the food in the image and improve user experience. Wherein, the food components may include: energy, fat, carbohydrates, and the like.
在进一步的实施例中，生成该图像后，还可以提供分享、发送、编辑该图像等指令接口给用户选择。In a further embodiment, after the image is generated, an instruction interface such as sharing, sending, and editing the image may also be provided for the user to choose.
在本发明实施例中，利用移动终端的光谱分析仪和摄像头，在拍摄美食的同时，可以直接标记出各类食物成份与热量，可以在分享美食的同时，确定食物成份和热量并向用户输出，提高了智能手机等移动终端的智能化程度。In the embodiment of the present invention, by using the spectrum analyzer and the camera of the mobile terminal, various food components and calories can be directly marked while taking pictures of the food, and the food components and calories can be determined and output to the user while sharing the food. , improving the intelligence of mobile terminals such as smartphones.
实施例二：Embodiment two:
图2示出了本发明实施例二提供的移动终端的食物成份检测方法的实现流程，详述如下：Fig. 2 shows the implementation process of the food component detection method of the mobile terminal provided by the second embodiment of the present invention, which is described in detail as follows:
在步骤S201中，通过摄像头获取食物的图像并对食物进行光谱分析，以从图像中识别出食物图像并得到食物的食物信息和光谱数据。In step S201, the image of the food is acquired through the camera and the spectral analysis is performed on the food, so as to identify the image of the food from the image and obtain the food information and spectral data of the food.
在步骤S202中，使用预设的检测模型对食物信息和光谱数据进行检测分析，得到食物的食物成份及热量分布信息。In step S202, the food information and spectral data are detected and analyzed using a preset detection model to obtain food composition and calorie distribution information of the food.
在步骤S203中，输出食物成份及热量分布。In step S203, food components and calorie distribution are output.
在本发明实施例中，步骤S201至S203的实施方式具体可参考前述实施例一的描述，在此不再赘述。In this embodiment of the present invention, for implementation of steps S201 to S203, reference may be made to the description of the foregoing Embodiment 1, and details are not repeated here.
在步骤S204中，通过食物信息估算出食物的体积。In step S204, the volume of the food is estimated based on the food information.
在步骤S205中，根据食物的体积、食物成份及热量分布信息，计算食物的热量值。In step S205, the calorie value of the food is calculated according to the volume of the food, the food composition and the calorie distribution information.
在本发明实施例中，获取的食物信息中还可以包含食物的面积或各食物成份的面积占比等，进而结合食物的种类及图像中食物的深度信息(对应食物的厚度)估算出食物的体积。最后根据食物的体积、食物成份及热量分布信息，计算食物的热量值。In the embodiment of the present invention, the acquired food information may also include the area of the food or the area ratio of each food component, etc., and then combine the type of food and the depth information of the food in the image (corresponding to the thickness of the food) to estimate the size of the food. volume. Finally, the calorie value of the food is calculated according to the volume of the food, the food composition and the calorie distribution information.
在步骤S206中，获取摄像头获取食物的图像的时间，根据获取的时间、热量值输出对应的饮食建议。In step S206, the time when the camera captures the image of the food is acquired, and the corresponding diet suggestion is output according to the acquired time and calorie value.
在本发明实施例中，根据获取的时间可判断用户的用餐时间，这样可根据用户用餐时间、用户所在位置的气候环境以及用户个人信息(例如，年龄、性别等)等获取用户此时用餐应获取的最佳热量和饮食建议。作为示例地，例如，若摄像头获取食物的图像的时间是早餐时间，则可以建议用户选择早餐搭配，如水果、牛奶，或给出用户拍摄的食物的应食用量或信用建议。例如，若时间是凌晨，则不建议用于过量进食。In the embodiment of the present invention, the user's meal time can be judged according to the obtained time, so that the user's meal time at this time can be obtained according to the user's meal time, the climate environment of the user's location, and the user's personal information (for example, age, gender, etc.) Get the best calorie and diet advice. As an example, for example, if the time when the camera captures the image of the food is breakfast time, the user may be suggested to choose a breakfast combination, such as fruit and milk, or the user may be given a recommended amount of the food taken or a credit suggestion. For example, if the time is early in the morning, it is not recommended for overeating.
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，所述的程序可以存储于一计算机可读取存储介质中，所述的存储介质，如ROM/RAM、磁盘、光盘等。Those of ordinary skill in the art can understand that all or part of the steps in the method of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage Media such as ROM/RAM, magnetic disk, optical disk, etc.
实施例三：Embodiment three:
图3示出了本发明实施例三提供的移动终端的食物成份检测系统的结构，为了便于说明，仅示出了与本发明实施例相关的部分。Fig. 3 shows the structure of the food component detection system of the mobile terminal provided by the third embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown.
在本发明实施例中，移动终端的食物成份检测系统包括获取单元31、分析单元32以及输出单元33，其中：In the embodiment of the present invention, the food component detection system of the mobile terminal includes an acquisition unit 31, an analysis unit 32, and an output unit 33, wherein:
获取单元31，用于通过摄像头获取食物的图像并对食物进行光谱分析，以从所图像中识别出食物图像并得到食物的食物信息和光谱数据；An acquisition unit 31, configured to acquire an image of the food through the camera and perform spectral analysis on the food, so as to identify the image of the food from the image and obtain food information and spectral data of the food;
分析单元32，用于使用预设的检测模型对食物信息和光谱数据进行检测分析，得到食物的食物成份及热量分布信息；The analysis unit 32 is used to detect and analyze food information and spectral data using a preset detection model to obtain food composition and calorie distribution information of the food;
输出单元33，用于输出食物成份及热量分布。The output unit 33 is used for outputting food components and heat distribution.
优选地，如图4所示，在本发明实施例的一优选实施方式中，获取单元31可包括：Preferably, as shown in FIG. 4, in a preferred implementation manner of the embodiment of the present invention, the acquisition unit 31 may include:
图像分析模块311，用于通过摄像头拍摄食物的图像，对拍摄得到的图像进行图像识别，以识别出图像中的食物图像；The image analysis module 311 is used for capturing images of food through the camera, and performing image recognition on the captured images to identify the food images in the images;
光谱分析模块312，用于在摄像头拍摄食物的图像时，通过预设的光谱分析仪对食物进行光谱分析，以得到食物中的食物成份及热量分布。The spectral analysis module 312 is configured to perform spectral analysis on the food through a preset spectral analyzer when the camera captures images of the food, so as to obtain food components and calorie distribution in the food.
优选地，输出单元33可包括：Preferably, the output unit 33 may include:
标记图像输出模块331，用于在食物图像的相应位置标记出食物成份及热量分布并输出食物图像。The marked image output module 331 is configured to mark food components and heat distribution at corresponding positions of the food image and output the food image.
进一步优选地，移动终端的食物成份检测系统还可以包括：Further preferably, the food component detection system of the mobile terminal may also include:
估算单元34，用于通过食物信息估算出食物的体积；An estimating unit 34, configured to estimate the volume of the food through the food information;
运算单元35，用于根据食物的体积、食物成份及热量分布信息，计算食物的热量值。The calculation unit 35 is used for calculating the caloric value of the food according to the volume of the food, the food composition and the calorie distribution information.
输出单元33还用于获取摄像头获取食物的图像的时间，根据获取的时间、热量值输出对应的饮食建议。The output unit 33 is also used to acquire the time when the camera captures the image of the food, and output the corresponding diet suggestion according to the acquired time and calorie value.
在本发明实施例中，移动终端的食物成份检测系统的各单元可由相应的硬件或软件单元实现，各单元可以为独立的软、硬件单元，也可以集成为一个软、硬件单元，在此不用以限制本发明。In the embodiment of the present invention, each unit of the food component detection system of the mobile terminal can be realized by corresponding hardware or software units, and each unit can be an independent software and hardware unit, or can be integrated into a software and hardware unit. to limit the invention.
在本发明实施例中，通过移动终端的摄像头获取食物的图像并对食物进行光谱分析，以从图像中识别出食物图像并得到食物的食物信息和光谱数据，使用预设的检测模型对食物信息和光谱数据进行检测分析，得到食物的食物成份及热量分布信息，并及时输出食物成份及热量分布，提高了食物成份的检测效率，可有效帮助用户合理控制饮食，进一步提高用户移动终端的智能化程度和用户体验。In the embodiment of the present invention, the image of the food is acquired through the camera of the mobile terminal and the food is subjected to spectral analysis to identify the food image from the image and obtain the food information and spectral data of the food, and use the preset detection model to analyze the food information Through detection and analysis with spectral data, the food composition and calorie distribution information of the food is obtained, and the food composition and calorie distribution are output in time, which improves the detection efficiency of food composition, can effectively help users control their diet reasonably, and further improve the intelligence of users' mobile terminals level and user experience.
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610197252.7ACN105891122A (en) | 2016-03-31 | 2016-03-31 | Food component detection method and system of mobile terminal |
| Application Number | Priority Date | Filing Date | Title |
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| CN201610197252.7ACN105891122A (en) | 2016-03-31 | 2016-03-31 | Food component detection method and system of mobile terminal |
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| CN105891122Atrue CN105891122A (en) | 2016-08-24 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610197252.7APendingCN105891122A (en) | 2016-03-31 | 2016-03-31 | Food component detection method and system of mobile terminal |
| Country | Link |
|---|---|
| CN (1) | CN105891122A (en) |
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| CN106372198A (en)* | 2016-08-31 | 2017-02-01 | 乐视控股（北京）有限公司 | Data extraction method based on image recognition technology and mobile terminal thereof |
| CN107273678A (en)* | 2017-06-09 | 2017-10-20 | 张碧波 | A kind of food nourishment composition based on smart mobile phone automatically analyzes calculating system |
| CN107607481A (en)* | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | A kind of computational methods and mobile terminal of cooking time information |
| CN107633874A (en)* | 2017-08-31 | 2018-01-26 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal for cooking advisory information |
| CN107703091A (en)* | 2017-08-31 | 2018-02-16 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal for cooking advisory information |
| CN107807106A (en)* | 2016-09-07 | 2018-03-16 | 中兴通讯股份有限公司 | A kind of food determines method and device, mobile terminal |
| CN107991966A (en)* | 2017-12-22 | 2018-05-04 | 广东工业大学 | A kind of food intelligent monitoring method, device and intelligent health kitchen system |
| CN108198188A (en)* | 2017-12-28 | 2018-06-22 | 北京奇虎科技有限公司 | Food nutrition analysis method, device and computing device based on picture |
| CN108694993A (en)* | 2017-04-07 | 2018-10-23 | 中华映管股份有限公司 | healthy diet management method |
| CN109526235A (en)* | 2017-07-25 | 2019-03-26 | 株式会社益善 | Dietary recommendation provides system and analytical equipment |
| CN109587268A (en)* | 2018-12-25 | 2019-04-05 | Oppo广东移动通信有限公司 | Electronic equipment, information pushing method and related product |
| CN110059603A (en)* | 2019-04-10 | 2019-07-26 | 秒针信息技术有限公司 | Food composition detector, food composition detection method, device and storage medium |
| CN111352346A (en)* | 2018-12-20 | 2020-06-30 | 佛山市顺德区美的电热电器制造有限公司 | Control method and device of wall breaking machine, wall breaking machine and storage medium |
| CN115471835A (en)* | 2021-06-11 | 2022-12-13 | 深圳市聚悦科技文化有限公司 | Food information identification method, device, equipment and storage medium |
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| CN104778374A (en)* | 2015-05-04 | 2015-07-15 | 哈尔滨理工大学 | Automatic dietary estimation device based on image processing and recognizing method |
| US20150302160A1 (en)* | 2014-04-21 | 2015-10-22 | The Board of Regents of the NV Sys of Higher Edu, Las Vegas NV on Behalf of the Univ of NV Las Vega | Method and Apparatus for Monitoring Diet and Activity |
| CN105241826A (en)* | 2015-10-13 | 2016-01-13 | 惠州Tcl移动通信有限公司 | Intelligent mobile terminal and food detection method using the same |
| US20160034764A1 (en)* | 2014-08-01 | 2016-02-04 | Robert A. Connor | Wearable Imaging Member and Spectroscopic Optical Sensor for Food Identification and Nutrition Modification |
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| WO2015000890A1 (en)* | 2013-07-02 | 2015-01-08 | Roche Diagnostics Gmbh | Estimation of food volume and carbs |
| US20150168365A1 (en)* | 2013-12-18 | 2015-06-18 | Robert A. Connor | Caloric Intake Measuring System using Spectroscopic and 3D Imaging Analysis |
| US20150302160A1 (en)* | 2014-04-21 | 2015-10-22 | The Board of Regents of the NV Sys of Higher Edu, Las Vegas NV on Behalf of the Univ of NV Las Vega | Method and Apparatus for Monitoring Diet and Activity |
| US20160034764A1 (en)* | 2014-08-01 | 2016-02-04 | Robert A. Connor | Wearable Imaging Member and Spectroscopic Optical Sensor for Food Identification and Nutrition Modification |
| CN104406916A (en)* | 2014-11-04 | 2015-03-11 | 百度在线网络技术（北京）有限公司 | Method and apparatus for detecting food |
| CN104778374A (en)* | 2015-05-04 | 2015-07-15 | 哈尔滨理工大学 | Automatic dietary estimation device based on image processing and recognizing method |
| CN105241826A (en)* | 2015-10-13 | 2016-01-13 | 惠州Tcl移动通信有限公司 | Intelligent mobile terminal and food detection method using the same |
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| CN106372198A (en)* | 2016-08-31 | 2017-02-01 | 乐视控股（北京）有限公司 | Data extraction method based on image recognition technology and mobile terminal thereof |
| CN107807106A (en)* | 2016-09-07 | 2018-03-16 | 中兴通讯股份有限公司 | A kind of food determines method and device, mobile terminal |
| CN108694993A (en)* | 2017-04-07 | 2018-10-23 | 中华映管股份有限公司 | healthy diet management method |
| CN107273678A (en)* | 2017-06-09 | 2017-10-20 | 张碧波 | A kind of food nourishment composition based on smart mobile phone automatically analyzes calculating system |
| CN109526235A (en)* | 2017-07-25 | 2019-03-26 | 株式会社益善 | Dietary recommendation provides system and analytical equipment |
| CN107633874A (en)* | 2017-08-31 | 2018-01-26 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal for cooking advisory information |
| CN107703091A (en)* | 2017-08-31 | 2018-02-16 | 维沃移动通信有限公司 | A kind of generation method and mobile terminal for cooking advisory information |
| CN107607481A (en)* | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | A kind of computational methods and mobile terminal of cooking time information |
| CN107991966A (en)* | 2017-12-22 | 2018-05-04 | 广东工业大学 | A kind of food intelligent monitoring method, device and intelligent health kitchen system |
| CN108198188A (en)* | 2017-12-28 | 2018-06-22 | 北京奇虎科技有限公司 | Food nutrition analysis method, device and computing device based on picture |
| CN111352346A (en)* | 2018-12-20 | 2020-06-30 | 佛山市顺德区美的电热电器制造有限公司 | Control method and device of wall breaking machine, wall breaking machine and storage medium |
| CN109587268A (en)* | 2018-12-25 | 2019-04-05 | Oppo广东移动通信有限公司 | Electronic equipment, information pushing method and related product |
| CN110059603A (en)* | 2019-04-10 | 2019-07-26 | 秒针信息技术有限公司 | Food composition detector, food composition detection method, device and storage medium |
| CN115471835A (en)* | 2021-06-11 | 2022-12-13 | 深圳市聚悦科技文化有限公司 | Food information identification method, device, equipment and storage medium |
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| Date | Code | Title | Description |
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| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20160824 | |
| RJ01 | Rejection of invention patent application after publication |