A SYSTEM FOR CLASSIFYING NON-STANDARD-SHAPED FOODS ACCORDING TO SIZE AND QUALITY.

TR202509926A3Pending Publication Date: 2026-09-21BESSA MAKİNA TEKNOLOJİLERİ SANAYİ & TİCARET LİMİTED ŞİRKETİ
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
TR202509926
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-07-18
Publication Date
2026-09-21

Smart Images

  • Figure 00000006_0000
    Figure 00000006_0000
  • Figure 00000007_0000
    Figure 00000007_0000
  • Figure 00000008_0000
    Figure 00000008_0000
Patent Text Reader

Abstract

The invention relates to a classification system for the food industry, which enables the sorting and sizing of foods that do not have a standard form, such as carrots, radishes, turnips, sausage sticks, and similar products, according to their quality before packaging.
Need to check novelty before this filing date? Find Prior Art

Description

1 TARIFF SIZING AND PRINTING OF FOODS THAT DO NOT HAVE A STANDARD SHAPE. QUALITY-BASED CLASSIFICATION SYSTEM TECHNICAL AREA 5 The invention is for use in the food industry, particularly with carrots that do not have a standard shape. Radishes, turnips, sausage sticks, and similar foods are sorted and sized according to their quality. It relates to the classification system that enables subsequent packaging. PREVIOUS TECHNIQUE 10 In facilities where production is carried out using known techniques, fruits with an undefined shape and the cleaning, sorting and packaging processes of vegetables are not fully automated in systems that rely heavily on manual labor, using human power. This is done in all production facilities that rely entirely on human labor. All these problems exist in this sector as well. For example, inexperienced employees 15 the fact that, climate conditions, high labor costs or the biggest problem The problem of not being able to find employees is a problem in itself. Semi-labor-based industries... Since production carried out with automated systems has a low capacity, efficiency is low. is declining. Furthermore, quality standards are not fully met in these systems, which are susceptible to human error. This is not possible to provide. With the world's population increasing every day, 20 Considering this, the need for food is increasing. The producer's products should be of high quality. By separating it according to the market price and selling it at the deserved price, production can remain viable and sustainable. This is one of the most important factors for its success. Therefore, both mass production Being able to do it in a measurable, sustainable and high-quality way has been identified as a need of the sector. It has been done. 25 A BRIEF DESCRIPTION OF THE INVENTION The invention relates to products such as carrots and beets that do not have a standard shape. When using automated systems for washing, the quality of the products continues throughout the process. The sorting, sizing, and packaging process is carried out manually and through visual monitoring. 30 This is being done. Thanks to the system described in the invention, insufficient manpower and climate-related problems can be overcome. Problems arising from various sources, lack of standardization due to inexperience By solving technical problems such as classification, production costs are reduced, The aim is to carry out standardized, sustainable classification. Production 2 While the quantity is increased, the products are packaged and classified according to their quality. ensuring the producer earns the profit they deserve and the consumer gets the product they paid for. It helps them to buy with confidence in the quality. LIST OF FIGURES Figure 1. Assembled General View. Figure 2. Top View. Figure 3. Side View. Figure 4. Detailed View of Image Processing Unit and Classification Unit 10 Figure 5. Side View of the Robotic Classification Unit. Figure 6. Top view of the Robotic Classification Unit. The Correspondences of the Numbers Shown in the Figures 1. Conveyor Belt 15 1.1. Gutter 2. Image Processing Unit 2.1. Camera 2.2. Automation with Artificial Intelligence Learning Models 3. Robotics Classification Unit 20 4. Classified Product Conveyor Belt 5. Packaging and Crating Unit DETAILED DESCRIPTION OF THE INVENTION The invention is a conveyor belt with vibrating capability (1), containing at least one groove (1.1), 25 Food products that do not have a standard form aligned in the grooves (1.1) (e.g. carrots, The camera (2.1) that enables the taking of images of radish, baton sausage) and the camera (2.1) By comparing the images it receives with the images in the database, it categorizes them according to their quality. by classifying and addressing its position on the conveyor belt (1) robotic AI learning model automation (2.2) sending to classification unit (3) 30 image processing unit (2) containing, data received from image processing unit (2) It has a standard form that is classified and addressed according to its quality. by taking the non-food items to the next classified product conveyor belt (4) replacement spider (delta), scara, cartesian, collaborative, chorobot robotics 3 Robotic sorting unit (3) which includes at least one of the systems, sorts products according to their quality. transporting the products to the packaging / cracking unit (5) and discarding them to the designated with the classified product conveyor (4) and packaging / cracking unit (5) that transports the product to the region. It is characterized by... In the system we invented, food products that do not have a standard form can be processed in 5 ways. vibration containing at least one groove (1.1) which allows it to come in a more even sequence There is a conveyor belt (1) with this feature. In this way, the images of the products are displayed. alignment so that it can be addressed for classification. is provided. Food that does not have a standard form aligned in the grooves (1.1) Images of the products (e.g. carrots, radishes, baton sausage) are taken with the help of a camera (2.1) 10 It is taken and sent to the AI ​​learning model automation (2.2). Here By comparing it with images in the database, it has a standard form according to its quality. by classifying the non-food products and their position on the conveyor belt (1) This allows for a standard classification based on quality, It is possible to select and discard defective products. The process takes 15 minutes. Because it works quickly and with minimal errors under all conditions, it is known that humans use this technique. Solving all problems in semi-automatic systems that operate with power It provides. Classified products are separated in the robotic classification unit (3). Classified product conveyor to packaging / cracking unit (5) or rejection area (4) is carried by. 20 With the system that is the subject of the invention, the products image processing unit (2) and robotic classification While the classification is made in the unit (3) in the sizes requested by the manufacturer, it is used The items are then arranged in bags and crates. The arranging and packaging process... When the desired quantity or kilograms are reached, it is completed and vacuum-packed, weight and Vacuuming and labeling, which is a further stage for processing other information 25 It is transferred to the station. Artificial intelligence learning model automation (2.2) Thanks to this, quality standards for products that do not have a standard form are constantly maintained. By being updated, efficiency and quality are always ensured at the highest level. Packaging of products coming from the classified product line (4) The packaging unit arranges the sequential products arriving in groups according to the desired quantity, one upside down, one inside out. The Cartesian type robot, which will be located at the station to receive straight lines, is included in the package. It takes the products one row at a time and transfers them into the package. The necessary transfer processes are carried out. once completed and the package weight or number of products is met, the package opening It is switched off and transferred to the next station. 4 The vacuuming and labeling station vacuums and labels packaged products. This is the station that enables the labeling process. The vacuuming process seals the package. to make the products more durable, take up less space during shipping and This is done to prevent it from falling apart. The labeling process, on the other hand, involves the brand, 5. Printing the manufacturer's requested information on the packages, such as production date and weight information. It is used for. 15 25

Claims

SYSTEMS 1. Foods that do not have a standard shape, according to their size and quality. It is a classification system; its characteristic is: - conveyor belt with vibrating feature containing at least one groove (1.1) (1), 5 - food products that do not have a standard form aligned in the grooves (1.1) (e.g., enabling the capture of images of carrots, radishes, and sausage sticks) camera (2.1), the images taken by the camera (2.1) are in the database By comparing images, the conveyor belt is classified according to its quality. (1) by addressing its position on the robotic classification unit (3) 10 Image containing AI learning model automation (2.2) sent processing unit (2), - according to the quality of the data received from the image processing unit (2) food products that do not have a standard form that is classified and addressed by taking 15 to the next classified product conveyor belt (4) Robotic classification unit (3) that places - transporting products to the packaging / cracking unit (5) according to their quality and Classified goods transporting rejected products to a designated area. band (4), - 20 that transfers the sequential products, which arrive in groups according to the desired quantity, into the package. and transfer operations completed, package weight or number of products Once completed, the package is sealed and sent to the next station. by including a packaging / cracking unit (5) that enables its transfer It is characteristic.

2. The image processing unit mentioned in Claim 1 is (2), and its feature is that the conveyor belt is 25 (1) Food products that do not have a standard form aligned in the grooves (1.1) Suitable for capturing images of (e.g., carrots, radishes, sausage sticks) at least one camera (2.1) placed at an angle and the camera taking images It is characterized by containing sufficient light sources.

3. The robotic classification unit mentioned in Claim 1 is (3), and its feature is; spider 30 (delta), SCARA, Cartesian, collaborative, chorobot robotic systems, at least It is characterized by the fact that it includes one of them.