18453939. METHOD AND SYSTEM FOR PREDICTING SHELF LIFE OF PERISHABLE FOOD ITEMS simplified abstract (Tata Consultancy Services Limited)

METHOD AND SYSTEM FOR PREDICTING SHELF LIFE OF PERISHABLE FOOD ITEMS

Organization Name

Tata Consultancy Services Limited

Inventor(s)

PRIYA Kedia of Pune (IN)

SHANKAR Kausley of Pune (IN)

MANASI SAMARTH Patwardhan of Pune (IN)

SHIRISH SUBHASH Karande of Pune (IN)

BEENA Rai of Pune (IN)

JAYITA Dutta of Pune (IN)

PARIJAT Deshpande of Pune (IN)

ANAND Sriraman of Pune (IN)

SHRIKANT ARJUNRAO Kapse of Pune (IN)

METHOD AND SYSTEM FOR PREDICTING SHELF LIFE OF PERISHABLE FOOD ITEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18453939 titled 'METHOD AND SYSTEM FOR PREDICTING SHELF LIFE OF PERISHABLE FOOD ITEMS

Simplified Explanation

The disclosure relates to a method and system for predicting the shelf life of perishable food items based on visual images and storage conditions.

• Quality parameter prediction module determines current quality parameter value of food item from a look-up table.
• Shelf life prediction module predicts shelf life based on current quality parameter value, critical quality parameter value, and storage data.
• Look-up table includes weather zones generated based on relationship dynamics between visual image of food item and quality parameter value.

Potential Applications

This technology can be applied in the food industry for optimizing inventory management, reducing food waste, and ensuring food safety.

Problems Solved

This technology solves the problem of limited capability in providing a relation between visual image of food item and quality parameter value at different storage conditions.

Benefits

The benefits of this technology include improved shelf life prediction accuracy, better quality control, and enhanced supply chain management efficiency.

Potential Commercial Applications

Potential commercial applications of this technology include food retail, food distribution, and food service industries.

Possible Prior Art

One possible prior art could be systems that use visual recognition technology for quality control in food items, but may not specifically focus on predicting shelf life based on visual images and storage conditions.

Unanswered Questions

== How does the system handle variations in storage conditions that may affect the quality parameter value of food items? The system takes into account the storage data provided by the user to predict the shelf life of food items based on the current quality parameter value and critical quality parameter value.

== What is the accuracy rate of the shelf life predictions made by the system? The accuracy rate of the shelf life predictions may vary depending on the quality of input data provided by the user and the effectiveness of the look-up table in capturing the relationship dynamics between visual images and quality parameter values.

Original Abstract Submitted

This disclosure relates generally to method and system for predicting shelf life of perishable food items. In supply chain management, current technology provides limited capability in providing relation between visual image of food item and a quality parameter value at different storage conditions. The system includes a quality parameter prediction module and a shelf life prediction module. The method obtains input data from user comprising a visual data and a storage data of each food item. The quality parameter prediction module determines a current quality parameter value of the food item from a look-up table. The shelf life prediction module predicts the shelf life of food item based on the current quality parameter value, a critical quality parameter value and the storage data. The look-up table comprising a plurality of weather zones are generated based on relationship dynamics between the visual image of food item and the quality parameter value.