Geoffrey Newman is an accomplished inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of automated machine vision, holding a total of 3 patents. His work focuses on enhancing defect detection processes through advanced neural network technologies.

Latest Patents

One of Geoffrey Newman's latest patents is centered around automated machine vision-based defect detection. This innovation provides various mechanisms and processes for automatic computer vision-based defect detection using a neural network. The system is designed to receive historical datasets that include training images corresponding to known defects. Each training image is converted into a matrix representation for training the neural network, allowing it to adjust weighted parameters based on the known defects. Once the neural network is sufficiently trained, a test image of an object not included in the historical dataset is obtained. Portions of the test image are extracted as input patches for the neural network, which generates a probability score indicating the likelihood that each input patch includes a defect. An overall defect score for the test image is then produced based on these probability scores, indicating the condition of the object.

Career Highlights

Geoffrey Newman is currently employed at Qeexo, Co., where he continues to develop innovative solutions in the realm of machine vision. His expertise in neural networks and defect detection has positioned him as a key player in his field.

Collaborations

Geoffrey has collaborated with notable colleagues such as Rajen Bhatt and Shitong Mao, contributing to the advancement of technology in automated defect detection.

Conclusion

Geoffrey Newman's work exemplifies the intersection of innovation and technology, particularly in automated machine vision. His contributions are paving the way for more efficient defect detection systems in various industries.