Everseen Limited

Sergiu Alexandru Vlad

Alan O'Herlihy

Viorel Baicu

A goods receipt management system includes processors coupled to a non-transitory storage device and operable to execute routines that include a face recognition engine to use facial features of a user to recognize the user as an authorised person, a dialogue manager engine to obtain from the authorised person a stated number of goods items being delivered, a quantification engine to receive an image of the goods items and calculate the number of goods items appearing in the image, a comparison engine to compare the calculated number of goods items with the stated number of goods items, and in the event of a substantial match, to record the calculated number of goods items, and a performance improvement engine to use the image of the goods items to re-tune configuration variables, in the event of a mis-match between calculated number of goods items and stated number of goods items.

Goods receipt management system and method

A warehouse management system is configured to include a biometric processing engine to authenticate a user though facial recognition of the user, a natural language processing engine to enables touchless interaction of the user with the system, a voice synthesizer to execute synthesized voice interrogative prompts and respond to responses received from the user, and a quantity detection engine for capturing images of transaction articles and feeding to an artificial image quantization engine (AIQE) for extracting quantities from the captured images and to an artificial image self-learning engine (AISLE) for self-learning of the AIQE.

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Timisoara, Romania

Sergiu Alexandru Vlad