Abstract: The invention is a computer implemented process directed towards a Deep learning neural network architecture to create object detection model using high resolution images. More specifically, the invention is directed towards enhancing the classification accuracy and reliability of edge inspection in contact lenses. The invention is a Computer implemented process to represent a software architecture comprising software components and their inter dependencies that represents the core functional modules of an application.

Abstract: Toolable modules, each having a set of functions and capabilities which are configurable to function cooperatively, to create a set of Robotic arms. Each finger of the module enables a specific task to be accomplished, providing multiple degrees of movements, enabling the Robotic arms to be deployed in highly precise applications and capable of responding to complex tasks. In coordination with an imaging system and a control system the functionality of the Robotic arms are programmable, scalable and configurable in addition to being able to communicate with the external interfaces in a predetermined protocol, thereby providing “Plug and Play” functionality.

Abstract: The present disclosure generally relates to upgrading existing automated legacy systems. More specifically, the present disclosure relates to system and method for a proxy interpreter system to collect and consolidate the setup, configuration, operation and quality inspection data from a plurality of interfacing devices and controllers of legacy systems and subsequently build a Reinforcement learning module using the consolidated data to perform all the functions automatically without the intervention of a human operator. The consolidated data in the proxy interpreter module may be further analysed using Deep learning methods for data analytics and artificial intelligence to reliably and consistently classify the defect criteria of products to further enhance the quality of the inspection. The defect criteria classification enables the Proxy interpreter system to highlight potential problems and aid in preventive maintenance of the legacy automated systems.

Abstract: The invention is a computer implemented process directed towards a Deep learning neural network architecture to create object detection model using high resolution images. More specifically, the invention is directed towards enhancing the classification accuracy and reliability of edge inspection in contact lenses. The invention is a Computer implemented process to represent a software architecture comprising software components and their inter dependencies that represents the core functional modules of an application.

Abstract: The present invention relates to an inspection system and more particularly to a system and method for inspection of wet ophthalmic lens, preferably in an automated lens manufacturing line. The inspection system provides for capturing multiple images of an ophthalmic lens using multiple cameras, each with a customized optical unit which may use wavelength filters, and the ophthalmic lens illuminated by multiple lighting modules each configured for a different wavelength, or a different polarization and triggered to strobe the illumination at the same instance or at different instances in the time domain. Suitable filters used in the optical module for each camera ensures appropriate images at different illuminating wavelength, especially when all the illuminations are strobed at the same time. Images captured and inspected by this configuration aids in improvement in method of inspection with enhanced degree of reliability and quality.

Abstract: The present invention relates to an inspection system and more particularly to a system and method for inspection of wet ophthalmic lens, preferably in an automated lens manufacturing line. The inspection system provides for capturing multiple images of an ophthalmic lens using multiple cameras, each with a customized optical unit which may use wavelength filters, and the ophthalmic lens illuminated by multiple lighting modules each configured for a different wavelength, or a different polarization and triggered to strobe the illumination at the same instance or at different instances in the time domain. Suitable filters used in the optical module for each camera ensures appropriate images at different illuminating wavelength, especially when all the illuminations are strobed at the same time. Images captured and inspected by this configuration aids in improvement in method of inspection with enhanced degree of reliability and quality.

Abstract: The present invention relates to an inspection system and more particularly to a system and method for inspection of wet ophthalmic lens, preferably in an automated lens manufacturing line. The inspection system provides for capturing multiple images of an ophthalmic lens using multiple cameras, each with a customized optical unit which may use wavelength filters, and the ophthalmic lens illuminated by multiple lighting modules each configured for a different wavelength, or a different polarization and triggered to strobe the illumination at the same instance or at different instances in the time domain. Suitable filters used in the optical module for each camera ensures appropriate images at different illuminating wavelength, especially when all the illuminations are strobed at the same time. Images captured and inspected by this configuration aids in improvement in method of inspection with enhanced degree of reliability and quality.

Abstract: The present invention relates to an inspection system and more particularly to a system and method for inspection of wet ophthalmic lens, preferably in an automated lens manufacturing line. The inspection system provides for capturing multiple images of an ophthalmic lens using multiple cameras, each with a customized optical unit which may use wavelength filters, and the ophthalmic lens illuminated by multiple lighting modules each configured for a different wavelength, or a different polarization and triggered to strobe the illumination at the same instance or at different instances in the time domain. Suitable filters used in the optical module for each camera ensures appropriate images at different illuminating wavelength, especially when all the illuminations are strobed at the same time. Images captured and inspected by this configuration aids in improvement in method of inspection with enhanced degree of reliability and quality.

Abstract: An inspection system is provided. The system includes a rotating prism having a first end and a second end. The first end receives a first image area, such as a circular view, and rotates about a center point so as to cover a field of view area that is larger than the first image area, such as a larger circle that is defined by the smaller circle of view as it rotates around the center point. The second end remains centered on the center point and provides a viewing area that does not change in dimension. An image data system at the second end of the rotating prism generates image data as the prism rotates so as to generate two or more sets of image data that are contained within the field of view area.