Machine vision is to use machines instead of human eyes to identify, judge, measure or detect targets, and mainly use machines to simulate human visual functions. Machine vision technology includes image acquisition technology for target objects, image information processing technology, and target measurement technology. The rapid development of machine sensing technology, computer technology, image processing technology, etc. has made machine vision technology develop rapidly and become increasingly mature, and it has become an indispensable core technology for modern industry on the road of informatization development. Machine vision technology is widely used in various industries such as food, pharmaceutical, chemical, building materials, electronic manufacturing, packaging, and automobile manufacturing. It plays an important role in improving the technical level of traditional manufacturing and traditional equipment, improving the competitiveness of enterprises, and improving the modern management level of enterprises increasingly important role.
The application in the food industry is mainly reflected in the following aspects:
1. Automatic identification and sorting of different foods. For example, the sorting of different vegetables.
2. Monitoring the processing process of meat and poultry products in the meat processing industry. Before cutting, the shape is collected by computer vision to calculate the cutting plan. For example, through two-dimensional (three-dimensional) measurement of irregular fresh salmon, chicken breast, beef, etc., through software analysis and calculation, the cutting length of the product is determined, and the product is cut to ensure that the weight of each product after cutting is consistent, Or cut out the recipe weight required by the product.
3. Processing monitoring of fruit and vegetable products: For example, using the multi-spectral information of the skin of apples and other fruits to accurately detect and locate the scratched area, providing a basis for scientific and accurate grading.
4. Appearance quality inspection and classification of various raw materials and products based on pattern recognition.
5. Foreign object detection technology for food safety.
6. Barcode and character recognition on product packaging during packaging.
7. Detection of filling amount and foreign matter in liquid.
8. Inspection of the outer packaging of boxed/bagged food, testing the outer packaging of boxed/bagged food (including the detection of damage to the outer packaging, whether there is a label, whether there is a production date, etc.);
9. Count the overall packaging of the product to ensure the number of packaging.
In 1969, the first CCD image sensor was born in Bell Lab in the United States. It opened the door to digital images for the industrial vision industry. Since then, all fields of life and production have been connected with images and vision. Now Machine vision has evolved from the previous 2D plane to a 3D stereo "horizon". For example, the commonly used product technologies such as face-scanning payment, Face ID, VR, unmanned convenience stores, and intelligent robots are the key technology behind it is 3D vision technology. The combination of 3D vision technology, the fourth visual revolution and the Industrial Internet, also maximizes the technical value and economic benefits of industrial enterprises. This is a major technological revolution that affects each of our lives and every sector of industrial production. It is a major and beautiful change that we all look forward to.
EFu company is committed to applying the latest technology to the greatest extent to produce the best equipment, and to provide customers with high-quality equipment and services!
The world will be a better place!
