With the development of artificial intelligence and the transformation and upgrading of the manufacturing industry, artificial intelligence has gradually played its role in automating and simplifying the entire manufacturing ecosystem, and has achieved fruitful results, showing great potential.
Let's take a look at the application of artificial intelligence in the manufacturing field (take food manufacturing as an example).
face recognition
When it comes to facial recognition, most people’s first reaction is Facebook’s artificial intelligence to recognize images.
But in fact, this technology has some potential value in the development process, such as AI applications used to recognize images, and it can also be used for authentication of security permissions to help companies better control access to their infrastructure. .
Of course, since this technology can identify "unidentified" people, it can also be used to identify whether potato chips have reached the "perfect golden color."
It is understood that domestic companies focusing on AI and health management have already cut into image recognition technology according to market demand and applied it to video recognition research and scenarios.
The latest test results show that such companies have recognized more than a thousand common dishes, and their recognition accuracy is more than 90%.
abnormal detection
AI has always been the main tool used by banks to monitor abnormalities in user accounts.
For manufacturers, they can also use the same type of exception monitoring to flag orders that are out of normal mode and point out possible errors.
In addition, it can also be used to monitor the safe handling of food, including cross-contamination of typical allergens (such as peanuts). In general, the emergence of intelligent monitoring means that modern software can act as a supervisor and remind us when to investigate abnormal situations.
As an established large-scale food company, Wahaha first established a food safety system covering the entire process, and steadily moved towards intelligent production and supervision on the basis of informatization and automation.
For example, through various sensors in the production line equipment, the company has realized online real-time monitoring of key indicators of the process from product allocation, bottle blowing, filling to packaging and palletizing.
AI virtual assistant
It can be said that one of the most exciting applications of artificial intelligence in manufacturing is virtual assistants, which can use natural language processing to interact with users, answer questions, perform tasks, and provide users with suggestions based on data science.
Then, the application of virtual assistants in the food and beverage field means that technicians, R&D personnel, or quality control inspectors can understand the progress of things by verbally asking for details, without typing on keyboards or handheld devices. This saves their time to a certain extent.
Of course, the role of virtual assistants is more than that. "Forbes" previously reported that Coca-Cola is exploring the development of AI virtual assistants to interact more with customers on vending machines.
So, if we see a talking vending machine in the future, we don’t have to be surprised.
automation
The existence of AI allows many routine or management tasks in manufacturing plants to be automated.
For example, a staff member takes pictures of store shelves, starts a machine learning process, automatically detects missing or misplaced items, and informs the relevant person in charge to replenish goods or make corrections.
In addition, equipment in the food and beverage industry also needs to be gradually automated. Some old factories lack sensors and tracking equipment that can detect system abnormalities. Artificial intelligence and data analysis can help improve and simplify production methods and create sustainable processes.
Recently, Wal-Mart began to use shelf scanning robots to assist in tasks such as cargo tracking and pricing labels. In this process, the robot collaborates with employees responsible for inventory shelves and problem solving. On a larger scale, artificial intelligence can also change logistics management.
It can be said that by improving quality, food manufacturing companies can rely on customer satisfaction to achieve sales growth.
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