How AI is Transforming the Food Processing Sector

The food processing sector uses artificial intelligence to offer a better quality of food products and efficiently manage its operation. 

FREMONT, CA: The food industry is not beyond the purview of AI's Midas contact. Artificial Intelligence (AI) is taking the world by storm. In fact, AI is anticipated to accelerate the market to the level of development and growth.

According to sources, AI in the food and beverage industry is projected to register a CAGR of 28.64 percent during the 2018-2023 forecast period. The food product and handling industry is estimated at a massive $100 billion today, according to others, and will continue to rise at a CAGR of 5 percent at least until 2021.

Here are areas in which AI fosters the highest quality of food product processing and handling worldwide.

Sorting

In a food-processing unit, one of the most significant tasks is sorting. The first thing to be carried out is the sorting of fresh produce by size, color, and quality, and it takes patience. For example, sorting potat

oes by size and color, a food giant will decide whether French fries, hash browns, or chips will be made from them. The function of AI-driven machines comes from here as it has cameras and near-infrared sensors to examine the product. 

Managing Supply Chain

With the implementation of new food safety standards frequently and the need for transparency rising day by day, it has become necessary for food and beverage companies to incorporate rigorous supply chain management. This can be achieved in many ways, including food safety inspection and product testing at every phase of the supply chain and detailed forecasting to control pricing and inventory.

Personal Hygiene Maintenance

Maintenance of personal hygiene is of vital importance for those entering and leaving a food processing facility. In 2017, Kankan signed a significant agreement to provide AI-powered solutions to enhance personal hygiene among employees of China's food processing unit. It utilizes face recognition technology to monitor if employees breach rules that ensure they wear masks and caps to maintain adequate workplace hygiene. This technology is more than 95 percent effective, according to Kankan.