Emage Ai Pte Ltd

Viralint Pte Ltd

Kundapura Parameshwara Srinivas

Soon Wei Wong

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.

Adaptable multifunction robotic hands

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. The system and method of the invention captures a high resolution image, transforms the circular edge of the lens to a Horizontal line representing the circular edge, restricting the image size by eliminating the pixel information around the edge, dividing the horizontal edge image into overlapping portions, and stacking the extracted images vertically to form a single high-resolution image that is ideal to be processed and analysed by Convolution Neural networks after augmenting the original image dataset with new images generated by Generative Adversarial Networks, to enable accurate classification of the defects.

Growing community of inventors

Singapore, Singapore

Kundapura Parameshwara Srinivas