Essilor International

Brad J Gelb

Sébastien Piraube

Mark Hale

Bruce Taylor

Luc Martin

Mark Mildebrath

Roy Karr

James Monaghan

Virginie Beccaro

Kord Schrowangen

Charles Goodrum

Peter Hones

Fred Adolfo

Mark Kaluza

This method for determining specification parameters used to manufacture an optical article includes steps of: training at least one neural network to predict the specification parameters, by using a training data set including a plurality of training prescription parameters and corresponding training specification parameters; and predicting specification parameters of the optical article by the at least one neural network, from prescription parameters relating to the optical article, on the basis of the training.

Method and system for determining parameters used to manufacture an optical article and a corresponding optical article

This disclosure includes methods and systems for producing ophthalmic lenses. Some methods include identifying a plurality of zones within a spatial representation of a lens blank, selecting, for each of the zones, one or more parameters for producing the lens, and producing the lens by removing material from the lens blank according to the one or more parameters of each of the zones.

Methods and systems for producing ophthalmic lenses background

A real-time calculation system capable of computing the industrial optical performance and yields of a prescription laboratory is disclosed. The system uses statistical analysis to determine the compensation factors that can be applied to given products, Semi-Finish, materials, or lens designs to increase the lab yields. Using a monitoring and configuration system, the user tracks the evolution of the laboratory's performance and identifies areas in which yields are impacted. The user defines how the calculation system will optimize the laboratory's performance, such as by defining how the compensation factors will be calculated and applied.

System and method for compensating deviations in an optical lens manufacturing process

Described is a variable reference blocking apparatus for blocking an optical article (). The apparatus comprises an adjustable ring unit () having a plurality of concentric members () positioned about a central axis. Each concentric member () generally comprises a lip region () on its upper end that is capable of receiving at least a portion of a front face of the optical article (). The apparatus further comprises a moveable base () in which its upper portion is coupled with a removable insert (). The removable insert () is generally positioned to be centered about the front face of the optical article ().

Variable reference blocking apparatus and method of use

Described are systems and methods for controlling an ophthalmic lens edging machine are disclosed. The ophthalmic lens edging machine uses an edger code to select a macro or speed for a requested lens edging job. A system for creating and using the edger code may include a Lab Management System (LMS), a lens calculation system, and a lens edging machine. An edger code may be generated using lens data received from a lens management system and edging machine information identifying lens edging machines. The edger code comprises a plurality of characters. Each character is associated with a different feature of a requested edging job. The features of the requested edging job may include, for example, one or more of: a material type, a lens thickness, an edge type, a frame type, a lens coating, a lens shape, a lens ratio, a lens treatment, and an edging machine block type.

Ophthalmic lens edging process by calculation

An ophthalmic lens treatment planning System receives lens and ophthalmic lens treatment information from a customer lens order, identification of available equipment to apply ophthalmic lens treatment(s) from the customer order, and performance and parameters of the available equipment. The ophthalmic lens treatment planning System formulates an optimal ophthalmic lens treatment plan to be implemented by the available equipment to apply the ophthalmic lens treatment(s) from the customer order to the lens. Following application of the optimal ophthalmic lens treatment plan to the lens, the resulting lens may be measured to provide last run results and the last run results may be fed back to the ophthalmic lens treatment planning System to provide further performance and parameters of the available equipment to the ophthalmic lens treatment planning System.

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Dallas, TX, United States of America

Brad J Gelb