Food volume ratio detector

Abstract

The utility model relates to a kind of food volume specific volume detector.The utility model includes rack, rotary table is rotatably equipped on rack, rotary table is made of transparent material, image acquisition station for placing food to be detected is equipped on rotary table, light source and detection camera are further provided on rack, light source is used to project light to the food to be detected at image acquisition station and include upper light source and lower light source, detection camera includes upper detection camera and lower detection camera, controller is further provided on rack, detection camera is electrically connected at one input end of controller to transfer the food image collected by it to it.The utility model can simultaneously collect deformation condition when light is projected on food to be detected from top and bottom, not only can collect the shape of upper surface of food, but also can collect the shape of lower surface of food, so as to obtain point cloud information of full range of food to be detected, three-dimensional model of food to be detected can be reconstructed according to the point cloud information, so as to accurately calculate the volume and specific volume of food to be detected at image acquisition station.

Description

Technical Field

[0001] This utility model relates to the field of food testing technology, and in particular to a food volumetric volume analyzer. Background Technology

[0002] In the modern food industry, bread, as a popular baked good, involves several key indicators in its quality evaluation, among which bread volumetric volume is one of the important parameters for measuring bread quality. Bread volumetric volume refers to the volume occupied by a unit mass of bread. This parameter directly reflects the bread's expansion, internal structure, and the rationality of the processing technology. A suitable volumetric volume not only improves the bread's appearance and fullness but also significantly enhances its texture and flavor, having a decisive impact on consumers' purchasing intentions and eating experience. Furthermore, for bread manufacturers, accurately controlling bread volumetric volume helps optimize production processes, improve product quality stability, and thus enhance market competitiveness.

[0003] Currently, methods for detecting the specific volume of bread mainly include visual inspection, measurement with a measuring tape, water displacement method, and rapeseed displacement method. Visual inspection relies on experience and has low accuracy. Due to the irregular shape of bread, measuring dimensions with a measuring tape also fails to improve accuracy. The water displacement method involves completely immersing the bread in water and determining its volume by measuring the volume of water displaced, thus calculating the specific volume. The rapeseed displacement method uses rapeseed to fill the space around the bread, indirectly obtaining the bread volume by measuring the volume of the rapeseed. However, these traditional methods have many limitations. On the one hand, the water displacement method easily damages the original structure of the bread, and the bread's mass and volume change after absorbing water, leading to significant errors in the test results. On the other hand, the rapeseed displacement method is cumbersome and time-consuming, and the uneven size of the rapeseed particles makes it difficult to tightly fill the gaps in the bread, also affecting the accuracy of the measurement. Furthermore, both methods are offline detection methods, unable to achieve real-time monitoring and control of the bread production process, and thus failing to meet the demands of modern large-scale production for rapid and accurate detection.

[0004] With the rapid development of the food industry and the increasing demands of consumers for bread quality, there is an urgent need for a faster, more accurate, non-destructive, and real-time online method and device for bread volume and volume detection. This would solve the problems of traditional detection methods and promote the development of the bread production industry towards intelligence and precision. Utility Model Content

[0005] The purpose of this invention is to propose a food volumetric volume analyzer to solve the problem of the difficulty in accurately detecting the volumetric volume of foods such as bread and steamed buns in the existing technology.

[0006] The technical solution of this utility model is:

[0007] A food volumetric density analyzer includes a frame with a rotating turntable made of transparent material. The turntable has an image acquisition station for placing the food to be tested. The frame also has a light source and a detection camera. The light source projects light onto the image acquisition station and includes an upper light source above the turntable and a lower light source below the turntable. The detection camera includes an upper detection camera above the turntable and a lower detection camera below the turntable. The upper detection camera is used to acquire food images from an upper perspective, and the lower detection camera is used to acquire food images from a lower perspective.

[0008] The rack is also equipped with a controller, and the detection camera is electrically connected to one of the controller's input terminals to transmit the food images it has acquired.

[0009] Furthermore, both the upper and lower detection cameras are arranged in two sets symmetrically relative to the image acquisition station.

[0010] Furthermore, a weighing sensor is also installed on the frame, and a weighing platform is installed above the weighing sensor. The weighing platform is used to place the food to be tested to form a weighing station. The weighing sensor is electrically connected to another input terminal of the controller to transmit the collected weighing data to it.

[0011] Furthermore, the turntable rotates along its centerline, and the image acquisition station is located at the center of the turntable.

[0012] Furthermore, the turntable is gear-driven, and the gears are driven by a motor with an encoder to rotate in a controlled manner, one increment at a time. Since the turntable is driven by the encoder, the encoder can directly transmit the specific stopping position information of the turntable to the controller, eliminating the need for other devices to detect the turntable's stopping position.

[0013] Furthermore, the light source is used to project a stripe pattern encoded in a fixed manner.

[0014] This invention relates to a food volume and specific volume analyzer that can simultaneously collect data on the deformation of food when light is projected onto it from both above and below. It can collect the shape of the upper surface of the food as well as the shape of the lower surface, thereby obtaining point cloud information of the entire range of the food to be tested. Based on this, a three-dimensional model of the food to be tested can be reconstructed, thus accurately calculating the volume and specific volume of the food to be tested at the image acquisition station. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a front view of one embodiment of a food volumetric density detector according to the present invention;

[0017] Figure 2 This is a side view;

[0018] Figure 3 It is a sectional view along direction A.

[0019] In the picture,

[0020] 1. Frame; 2. Turntable; 5. Display; 6. Weighing sensor; 8. Food to be tested; 9. Gear; 10. Motor with encoder;

[0021] 11. Power switch; 12. Socket; 13. Push-button switch;

[0022] 31. Top light source; 32. Bottom light source;

[0023] 41. Top detection camera left; 42. Top detection camera right; 43. Bottom detection camera left; 44. Bottom detection camera right. Detailed Implementation

[0024] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0025] Example 1: A food volumetric volume analyzer, the structure of which is as follows Figures 1 to 3As shown, the system includes a frame 1, on which a turntable 2, made of transparent material, is rotatably mounted. A light source and a detection camera are also mounted on the frame 1. A display 5, a weighing sensor 6, and a controller are fixed on the frame 1. The controller is integrated with the display 5, allowing operation of the display 5 and sending corresponding trigger signals to the controller via an interactive device. The weighing sensor 6 is located at the weighing station, where the food to be tested 8 is weighed. The image acquisition station is located on the turntable 2, corresponding to the positions of the light source and the detection camera, where the food to be tested 8 is image-acquired. The weighing sensor 6 is connected to one input of the controller to transmit the detected weighing data. The detection camera is connected to the other input of the controller to transmit the detected image. The controller performs a 3D reconstruction of the model of the food to be tested 8 based on the detected image and calculates the volume data of the food to be tested 8. Then, it calculates the specific volume of the food to be tested 8 based on the obtained weighing and volume data. The display 5 is connected to one output port of the controller to display the weighing data, volume data, and specific volume data of the food to be tested 8.

[0026] The light source includes an upper light source 31 located above the turntable 2 and a lower light source 32 located below the turntable 2. The detection camera includes an upper detection camera left 41 and an upper detection camera right 42 located above the turntable 2, and also includes a lower detection camera left 43 and a lower detection camera right 44 located below the turntable 2. The function of the upper light source 31 is to project a set of striped patterns onto the visible surface above the food 8 to be detected at the image acquisition station. The function of the lower light source 32 is to project a set of striped patterns onto the bottom surface of the food 8 to be detected at the image acquisition station. The upper light source 31 is located above the image acquisition station to project the striped patterns from top to bottom, and the lower light source 32 is located below the image acquisition station to project the striped patterns from bottom to top.

[0027] In this embodiment, the upper light source 31 and the lower light source 32 project strip light encoded in a fixed manner. When performing three-dimensional reconstruction, the algorithm will solve the depth information according to the encoded information and then reconstruct the food to be detected 8 based on the depth information.

[0028] The upper detection cameras, left 41 and right 42, are used to acquire images of the food to be inspected 8 at the acquisition position from an upper perspective. The lower detection cameras, left 43 and right 44, are used to acquire images of the food to be inspected 8 at the acquisition position from a lower perspective. The upper detection cameras, left 41 and right 42, are symmetrical about the image acquisition station, as are the lower detection cameras, left 43 and right 44.

[0029] The frame 1 is equipped with a power switch 11, a socket 12, and a push-button switch 13. The socket 12 allows the plug to be inserted to introduce external power. The power switch 11 controls the power-on state of the detector, and the push-button switch 13 controls the on / off state of the controller. In this embodiment, the rotation of the turntable 2 is precisely controlled by a motor 10 with an encoder. Specifically, the motor 10 with the encoder accurately controls the rotation angle of the gear 9, which in turn drives the large gear meshing with it. The large gear drives the turntable 2, which is coaxial with it, to rotate step by step, so as to accurately position the turntable 2. The motor 10 with the encoder is electrically connected to one output terminal of the controller, so the motor 10 with the encoder can be operated by the controller to drive the turntable 2 to rotate.

[0030] The procedure for using this invention to test the specific volume of food is as follows:

[0031] (1) Connect the power cord to the socket 12, press the power switch 11 to power on the device, turn on the button switch 13 to turn on the interface, and then start the detection software on the screen.

[0032] (2) Place the food to be tested 8 on the weighing station, measure the weight of the food to be tested 8 and transmit the weight value to the controller;

[0033] (3) Place the weighed food 8 to be tested at the image acquisition station and operate the controller to make the turntable 2 drive the food 8 to be tested to rotate slowly.

[0034] (4) During the rotation of the food 8 to be tested, the turntable 2 stops sequentially at multiple pre-set specific positions. The detection camera and light source work simultaneously to collect surface information of the food 8 to be tested. Then, a three-dimensional reconstruction algorithm is used to build a point cloud at the set position based on the image. The point cloud map of each position is finally stitched together with the position information given by the motor 10 with encoder to obtain the overall point cloud map of the food 8 to be tested. The use of a three-dimensional reconstruction algorithm to build the overall point cloud map of the object to be tested based on the collected graphic information is existing technology and is not the content to be protected by this utility model. For the specific algorithm, please refer to Chinese Patent Application No. 202310483537.7.

[0035] (5) The volume, weight, and specific volume information of the food to be tested 8 are displayed on the display 5, and one test is completed.

[0036] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this invention is defined by the appended claims and not by the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A food volumetric density analyzer, characterized in that: The device includes a frame with a rotating turntable made of transparent material. The turntable has an image acquisition station for placing food to be inspected. The frame also has a light source and an inspection camera. The light source projects light onto the image acquisition station and includes an upper light source above the turntable and a lower light source below the turntable. The inspection camera includes an upper inspection camera above the turntable and a lower inspection camera below the turntable. The upper inspection camera is used to acquire food images from an upper perspective, and the lower inspection camera is used to acquire food images from a lower perspective. The rack is also equipped with a controller, and the detection camera is electrically connected to one of the input terminals of the controller to transmit the food images it has acquired.

2. The food volumetric density analyzer according to claim 1, characterized in that: Both the upper and lower detection cameras are arranged in two sets symmetrically relative to the image acquisition station.

3. The food volumetric density analyzer according to claim 1, characterized in that: The frame is also equipped with a weighing sensor, and a weighing platform is set above the weighing sensor. The weighing platform is used to place the food to be tested to form a weighing station. The weighing sensor is electrically connected to another input terminal of the controller to transmit the collected weighing data to it.

4. A food volumetric density analyzer according to claim 3, characterized in that: The turntable rotates along its center line, and the image acquisition station is located at the center of the turntable.

5. A food volumetric volumetric analyzer according to any one of claims 1 to 4, characterized in that: The turntable is driven by gears, which are driven by a motor with an encoder to rotate in a controlled manner, one grid at a time.

6. A food volumetric volumetric analyzer according to any one of claims 1 to 4, characterized in that: The light source is used to project a striped pattern encoded in a fixed manner.

Images