Emanoel Daryoush

Title: Innovative Contributions of Emanoel Daryoush in Image Fingerprinting Technology

Introduction

Emanoel Daryoush is an accomplished inventor based in San Jose, California, known for his significant contributions to the field of image fingerprinting technology. With a total of five patents to his name, Daryoush has made strides in developing innovative methods for image matching and classification. His work is notable for its ability to enhance image recognition even when images are altered in various ways.

Latest Patents

Daryoush's latest patents focus on image fingerprinting conversion between different models. In these patents, image fingerprints, also referred to as embeddings, are generated by an image fingerprinting model and subsequently indexed using an approximate nearest neighbors (ANN) model. This process allows for the identification of the most similar fingerprint based on the subject embedding. The technology provides a scoring system that indicates the degree of similarity between an input embedding and the most similar identified embedding. This capability is especially beneficial for matching images that may have been distorted, rotated, cropped, or modified in other ways.

In addition, Daryoush's patents include methods for image classification, where embeddings in the index are clustered and labeled. Users can add a few images to create labeled clusters, and the ANN model will return a score and label of the most similar identified embedding if the score meets a certain threshold. Furthermore, as advancements are made to the image fingerprinting model, a converter model is developed to ensure compatibility with the new embeddings while maintaining effective image matching through deep learning techniques.

Career Highlights

Throughout his career, Emanoel Daryoush has worked with prestigious companies, including Digital Guardian LLC and Netskope, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in image processing technologies. His innovative solutions have pushed the boundaries of what is possible in image recognition and classification.

Collaborations

Daryoush has collaborated with talented professionals such as Niranjan Koduri and Shreemathi Atreya. These collaborations have undoubtedly fostered a dynamic environment for innovation, blending diverse expertise to drive advancements in technology.

Conclusion

Emanoel Daryoush’s contributions to image fingerprinting technology not only reflect his ingenuity as an inventor but also highlight the potential for continued evolution in image recognition systems. With his extensive experience and groundbreaking patents, Daryoush is poised to make further impacts in the field of technology and innovation.