Food Tech Updates


Artificial Intelligence (AI) in Food Tech






Blockchain Services







Comments

Post a Comment

Popular posts from this blog

Blockchain empowering the Traceability of Seafood

Consumers can verify the legality of seafood using blockchain through a process that leverages the technology's ability to provide a transparent and immutable record of the product's journey from catch to sale. When seafood is caught, details such as the species, location, time, and method of catch are recorded on the blockchain. This information is then updated at each stage of the supply chain, including processing, transportation, and retail. Each transaction is recorded as a new block of data, linked to the previous one, forming a chain that provides a complete history of the product. The transparency of blockchain allows consumers to access this information, typically by scanning a QR code on the product packaging, which reveals the entire history of the seafood item. This includes where and how it was caught, processed, and transported, ensuring that the product complies with legal fishing practices and sustainability standards. Blockchain platforms like IBM Food Trust of...
Read more

Latest Food Tech Manufacturing

The integration of Artificial Intelligence (AI), Computer-Aided Design (CAD), and 3D printing technologies is revolutionizing the field of product and block foods process development. These advancements are not only enhancing the design and manufacturing of high-tech food products but are also streamlining operations planning across various phases of our Quick Service Restaurants (QSR) operations. Robotopo's factory design phase benefits from CAD software, which allows for precise planning and virtual testing of factory layouts, optimizing space and workflow before physical construction begins. The industrial design of Robotopo's Block-Maker machines has evolved from manual to automated systems, increasing efficiency and consistency in production. Robotopo's commercial fitouts deploy these technologies to ensure that kitchen layouts and equipment are designed for maximum efficiency and ease of use, contributing to a better workflow and ultimately, customer satisfaction. Our...
Read more

AI Use Cases in Food Tech

Artificial Intelligence (AI) is increasingly becoming a cornerstone in the realm of food safety, offering a range of applications that enhance the efficiency and reliability of processes involved. One notable example is the use of AI in hazard analysis and critical control points (HACCP) systems, where it aids in identifying potential hazards and implementing real-time monitoring and control measures. AI algorithms can predict and prevent food safety incidents by analyzing data trends and providing actionable insights for preventive measures. In quality control, AI-driven computer vision systems are employed to inspect food products for defects or contaminants, ensuring that only safe, high-quality items reach consumers. Companies like Tyson Foods have utilized AI to inspect chicken products, which has led to improved food safety and reduced product recalls. Similarly, General Mills has implemented Generative AI to identify and remove contaminants from its products, thereby enhancing s...
Read more