The safety and quality of food has become an issue of great concern to every food production company. The integrity of the logo is a must for quality products. Although the probability of missed production date markings is very small in food production enterprises, once it occurs, it will not only bring great hidden dangers to consumers, but also seriously affect the image of production companies and product image, so that enterprises It is passive in market competition.
Bright Milk is required to spray the production date on each box of milk cartons for the production of STU milk. Due to the high speed of the production line, the distance between the box and the box is very small, so it is easy to cause the phenomenon of missing spray or wrong spray marking. Bright Dairy, as a top dairy manufacturing company and a high-quality enterprise with a good image in the minds of consumers, has put forward the need to transform the production line in response to the responsibility of the consumer, responsible for the product, and responsible for the company. The requirements of an image recognition system and the need to detect the leakage and misfiring products, and the implementing agency to separate the box of milk from the production line, can monitor the real-time status of the system in real time and achieve unattended management. Automatic delivery.
The image recognition system is a guarantee system for ensuring the appearance and recognition quality of products. This system is widely used in foreign developed countries as a high-tech identification method. It is widely used in industries such as beer, beverage, and pharmaceutical industry. In addition, the system is also installed in the assembly line in the industrial field to ensure the correctness of product coding, such as the chip number and the identification of security codes in the computer industry. The image recognition system can not only effectively ensure product quality, but also provide manufacturers and consumers with more convenient and more secure product identification methods.
Shanghai Guangjin Electromechanical Trading Co., Ltd. provided Guangming Dairy with an image recognition system designed specifically for them. The system can detect unqualified products on the production line through the visual inspection system. When the laser detector on the production line detects the milk from the upstream, the visual inspection system starts to generate images and 12 product images can be set. For comparison, when the captured image is the same as the image of the current product, the visual inspection system sends a signal to the PLC, and the PLC will not perform the separation. If the captured image is inconsistent with the current product image, the visual inspection system sends a signal to the PLC. The instruction executing agency separates the unqualified product from the production line. After the box of milk is pushed out of the production line through the high-speed cylinder, the high-speed cylinder is reset to wait for the next defective product. The specific transformation of Bright Dairy's production line is: First, the existing production line is mechanically transformed, and the camera system, high-speed cylinders and high-speed electric valves are installed on the production line; secondly, the line speed according to the production line and the frequency of packaging milk should be selected appropriately. The camera system, high speed cylinder and high speed valve.
Here we detail the camera system and display system content for everyone.
1. A set of VT-12 color touch screen with Fram Work dedicated software to achieve image monitoring of the production line. Twelve kinds of products can call 12 different kinds of software to meet various production line speeds, different products, different production numbers, and different detection requirements of various conditions, and through the RS232 interface with the lower computer communications.
2. The lower machine uses FX2N series PLC, according to the current control requirements to read the camera system sent data and system-related I / O information. Sorting operations are performed automatically by the PLC and the number of unqualified products can be recorded.
3. Select SMC or NORGREN for high speed cylinder and high speed valve. In order to ensure the reliable operation of the system for a long time, the working gas source must be subjected to gas-water separation and oil mist treatment, and the pressure can be adjusted.
4. Optical fiber sensors use AUTONICS, BF4R amplifiers, FD-620-10 fiber optic heads. Because the distance between the milk boxes on the production line is too small, the use of a small lens of the fiber optic sensor for detection ensures reliable system operation.
5 electrical control cabinet, built-in electrical components required. The box body is made of stainless steel to ensure that the workshop is working in a humid environment and at a higher temperature.
Although the current application of the system in domestic food companies is still relatively small, it is believed that domestic food production companies and related food regulatory authorities in the country are increasingly placing great emphasis on the background of food safety, and that domestic production companies want to be able to quickly identify product safety. With the requirement of international convergence, this image recognition system will surely be widely promoted.
Source: Huayin Media
