Architecture Model for the Verification and Identification of Inappropriate Products by the Consumer - supported by IoT, Blockchain and AI

This study presents a realistic and comprehensive framework for creating food traceability and safety from producer to consumer and adds to the expanding body of knowledge on Internet of Things, blockchain and Artificial Intelligence applications. More than ever recently, quality controls of various foods have been carried out. These revealed a series of problems from the point of view of their contamination with a larger than normal amount of harmful elements for the body. Consumers face challenges in quickly obtaining information about the products they intend to purchase. This research aims to offer the consumer, through the use of an application, the opportunity to find out about the origin, composition and method of obtaining each product before it is purchased. When obtaining these performances, the new technologies such as the Internet of Things, Blockchain and Artificial Intelligence appear, to be tested in certain research areas, and then to be used on a large scale. The combined use of the Internet of Things, Blockchain and Artificial Intelligence have contributed to the realization of a new architecture and the respective creation of a new operating platform in commercial spaces that offer special products to consumers. The proposed platform is not only useful for the consumer, but also for the authentic producers and all the intermediaries that intervene in the circuit of the products from the producer to the consumer. The strong aspects of this work are constituted by the fact that blockchain technology is integrated, which is actually a decentralized database in which data can be stored in a secure way. Also, the AI system allows buyers to receive extensive and fast information due to the connectivity of the system.