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Use Cases and Applications of AI in Food Processing
Food manufacturers strive for continuous improvement and move towards automating the processes to optimize production in order to deliver volume and maintain consistent quality. Automation of food production can reap many benefits. An increased number of food manufacturers are adopting Industrial Artificial Intelligence, which is offering varied capabilities, to attain proven business benefits. AI applications have a direct and indirect impact on the industry. The following are examples of how food manufacturers are using AI.
Sorting Food: It is one of the most time-consuming processes. Now a significant amount of sorting has been automated which created a large reduction in labor cost and a big increase in speed and yields. The automated system uses cameras and lasers to measure and quickly analyze every aspect of food products. Machine learning creates this capability to sort food for their optimized use.
Improved Food Safety Compliance: Cameras in the food facility can make sure that workers are wearing masks or hair caps as a means of safety regulation. The violation can be caught and corrected in real time. AI-driven object recognition can be used from fighting IP privacy to the automatic checking license plate.
Improved Cleaning: Using artificially intelligent sensor systems can improve hoe food processing equipment is cleaned. It also reduces the time taken for cleaning equipment which saves money on water, energy and time.
Helping Consumers Decide What They Want: AI systems can analyze thousands of possible ingredient pairs and can make suggestions about customer choices.
Developing New Products: AI systems using machine learning and predictive algorithms can suggest consumer flavor preferences and predict how will they respond to new tastes. The data can be segmented into demographic groups to help companies develop new products according to consumer preferences.
Managing the Supply chain: AI can enhance supply chains with food safety monitoring and testing product at every step, enabling more accurate forecasting to manage pricing and inventory, and tracking and monitoring quality of products from farm to the consumer to provide transparency.
In the future also AI will be used to a greater degree in the food processing industry.
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