What is artificial intelligence technology?

What is Artificial Intelligence Technology
Artificial Intelligence, or “AI” as it is often referred to, was first introduced in the 1950’s. Alan Turing, a pioneer in computer science, described AI as “a day in the future when humans will be able to communicate with machines without barriers. communicate with machines without barriers.”
AI is a new technological science that researches and develops theories, methods, technologies, and application systems for modeling, extending, and expanding human intelligence. The field of research includes: natural language processing, which involves receiving knowledge and understanding it; knowledge representation, which involves storing knowledge; automated reasoning, which involves using stored information to answer questions and draw conclusions; machine learning, which involves linking with existing knowledge to adapt to new changes on a long-term and continuous basis; computer vision, which involves sensing and understanding new changes; and computer vision, which involves sensing and understanding new changes on a long-term and continuous basis. new changes; computer vision, i.e., perceiving the outside world; robotics, i.e., manipulating moving objects and interacting with the outside world, etc.
In short, AI means making machines think like people, make decisions like people, and act like people. Artificial intelligence technology is good at collecting, analyzing and interpreting a large amount of data, and such a large amount of data can not be accomplished by human beings in their entire life, so some people say that “Artificial Intelligence will lead the fourth industrial revolution of mankind – Intelligent”.
Artificial intelligence can be categorized into 3 types – weak artificial intelligence, general artificial intelligence and strong artificial intelligence. Weak AI can perform basic, scenario-specific role-based tasks; generalized AI can perform human-level tasks that involve continuous learning by machines; and strong AI refers to machines that are smarter than humans. Currently, weak AI is the only type of human-created AI that specializes in speech and image recognition and can perform simple, single tasks, such as the Siri chatbot and the AlphaGo chess-playing robot. Application of Artificial Intelligence in Food Industry
2.1 Application of Artificial Intelligence in Optimizing the Production Process Currently, the application of artificial intelligence in optimizing the production process is mainly embodied in computer vision, i.e., through the acquisition of target images for image processing and recognition, it can realize the functions of product quality detection and product classification, etc. 2.1.1 Food Sorting In the process of receiving fresh food raw materials, the sorting procedure can be considered one of the most time-consuming aspects. In the traditional food industry, manual methods are often used to screen diseased fruit, insect fruit and foreign objects, but this practice is less efficient and may cause secondary contamination of food.
Therefore, a company is currently developing a food sorting system based on computer vision detection technology – the use of cameras and near-infrared sensors to take photographs, through image recognition technology to achieve the screening of substandard and foreign objects, while the application of robotics technology to achieve the automatic sorting and packaging of items.
So it seems that the application of artificial intelligence technology in food sorting system helps to liberate labor, optimize enterprise energy consumption, improve production efficiency and product quality, and ultimately improve food safety.
2.1.2 Food Processing By monitoring the whole process of food processing production and collecting data from multiple sensors, a production process monitor based on learning functions is constructed. The monitor mainly analyzes, adjusts and improves the parameters of the production process through machine learning, voice recognition, visual recognition, etc., and predicts the quality of the product, so as to improve the automatic setting and adjustment of the parameters of the processing process.
Traditional food products often lead to a serious waste of energy due to the lack of effective monitoring in the production process, product processing control based only on experience, and the inability to adjust parameters as needed. The use of artificial intelligence to optimize the control system to monitor the whole process of food production can significantly reduce the production cost of enterprises while ensuring product quality and improving production efficiency, thus improving the market competitiveness of enterprises.
2.1.3 Supply Chain Management At present, the application of domestic cold chain logistics is smaller in coverage and less efficient than that of foreign countries. In order to improve the efficiency of cold chain, the use of big data, artificial intelligence algorithms and machine learning technology for automatic loading helps to realize the optimization of logistics and transportation routes, thus greatly reducing logistics costs.
In addition, the application of AI in the supply chain can be used to accurately predict food inventory, facilitate the management of pricing or food traceability – tracking the entire process of the product “from farm to fork” to ensure the transparency of the food supply chain. In addition, the intelligent management of the supply chain is also conducive to improving the operational efficiency of enterprises, reducing the enterprise inventory and supply chain costs.
2.2 The application of artificial intelligence in the restaurant industry With artificial intelligence gradually becoming a hot topic today, many restaurant companies have also integrated it into their services, which has brought them considerable benefits.
On the one hand, AI technology attracts more young customers while bringing special services to restaurants; on the other hand, it makes the catering industry intelligent, and intelligence can help the catering industry save labor costs, reduce operating costs, as well as improve management performance.
2.2.1 Product Standardization Taking the stir-fry robot as an example, it can imitate the flavor of food and control it through machine learning, image recognition and other technologies, so as to obtain the popular flavor with higher consistency.
Compared with the traditional catering industry, where the taste of dishes is determined by the chef’s own experience, stir-fry robots can more easily control the amount of spices and can easily achieve a unified standardized taste, making the product more refined while also saving labor costs.
2.2.2 Enhance consumer insights Every restaurant has its own restaurant cloud system – which can summarize and analyze the day’s profitability and provide effective guidance for the overall development direction of the restaurant.
Compared with traditional restaurants, artificial intelligence can carry out a full range of analysis and collation, and then put forward more reasonable management recommendations for restaurant operators, so as to adjust the restaurant’s operational planning, for example, the use of machine learning technology to carry out user relationship management, monitoring the flow of people to achieve the optimization of the restaurant’s layout and so on.
It can be seen that artificial intelligence, if used properly, can improve the operational efficiency of the restaurant business to a large extent.
Artificial intelligence can also use big data and cloud services to record the dining information and dining preferences of each customer in the restaurant in the database.
The restaurant uses the data provided by AI to determine the user’s consumption psychology and grasp consumption trends in order to better serve consumers and intelligently recommend dishes based on the consumer’s previous consumption records, or even provide more personalized recommendations.
The management of consumers by artificial intelligence includes analyzing customers, locking target customers, analyzing the potential needs of target customers, and precise pushing.
2.3 Application of Artificial Intelligence in Food Safety Supervision As the saying goes, “food for the people, food for safety first”, food safety has always been the focus of national attention, however, the constant occurrence of food safety problems reflects that there are certain deficiencies in China’s current food safety supervision.
Food safety supervision workload is huge, food safety accidents occur frequently and the causes are variable, so it is difficult to rely on the traditional manual supervision mode to realize the immediate warning of food safety problems and comprehensive and effective monitoring.
The application of artificial intelligence regulatory model can adapt to the complex and changing forms, through intelligent retrieval, intelligent agents, expert systems and other advanced technologies can improve the early warning and monitoring of food safety events, enhance the government’s regulatory efficiency, the implementation of the main responsibility of corporate food safety, and safeguard food safety.
Constructing an intelligent regulatory information platform for food safety, using the intelligent retrieval technology of artificial intelligence based on natural language, it can quickly analyze the natural language provided by the user and form a retrieval strategy to carry out an extensive search for the required information.
The intelligent regulatory platform possesses several advantages: first, it can collect and share food safety information quickly and efficiently, such as realizing food traceability and facilitating the whole process of food regulation; second, it can strengthen public opinion monitoring, establish the collection and analysis of major public opinion, promote the establishment of a rapid response mechanism, and improve the early warning and monitoring of food safety events; and third, it can enhance the transparency of information and improve the efficiency of regulation.
In order to ensure food safety, good operational hygiene is essential. An all-weather 360° intelligent supervision system monitors the back kitchen operating environment through cameras, using image recognition and hygiene environment compliance intelligent recognition algorithms can effectively supervise the back kitchen personnel’s wearing and operating norms, food storage conditions and environmental sanitization and hygiene.
If any violation is found, the system will extract the screen image for viewing, realizing remote intelligent supervision. All in all, the intelligent supervision system can automatically identify and discover food safety risk points in the back kitchen, prevent unforeseen food safety risks, and provide solution strategies to address the risks, thus improving supervision efficiency. Future Outlook
In the near future, the application of artificial intelligence technology in the food industry will encompass the entire process from food raw materials to the hands of consumers, and can be centered around the procurement of raw materials, food production and processing, logistics and transportation, sales and other aspects of the problem often occurring in the monitoring process – through the combination of advanced sensor technology and a large number of data analytics software Through the combination of advanced sensor technology and a large amount of data analysis software, the use of artificial intelligence, intelligent search, image recognition, voice recognition, natural language processing, pattern recognition, machine learning and other technologies, to achieve such as food raw material sorting, food processing, storage and transportation of the whole process of real-time dynamic detection and quality control, optimization of the supply chain, personalized food formula development and personalized nutrition customization, and other monotonous, frequent and repetitive long time, personalized and highly demanding work.
Compared with traditional manual operation, artificial intelligence technology can significantly improve the food industry Product quality and production efficiency, so that the food industry is more creative, personalized at the same time, reduce the production costs of enterprises, improve their market competitiveness, and to protect food safety while also catering to consumer preferences. Therefore, it is of great practical significance to strengthen the application of artificial intelligence in the food industry and food safety supervision in China’s food industry.