As an integral team member at Indatacore , I had the opportunity to contribute to the cutting-edge project, Sky Signature. Developed by InDataCore, this advanced system showcased the power of deep machine learning in signature analysis and pattern extraction from a diverse range of document types.
Key Features:
• Handwritten Signature on Paper: The system intelligently detected and extracted unique signatures
from documents such as bank checks and contracts. It verified the authenticity of individual signatures
and detected multiple signatures on the same document, separating and authenticating each one.
• Tablet Signature: Sky Signature included a signature capture module on tablets, enabling users to provide digital signatures with pens. The system also facilitated document initialing, enhancing the user experience and versatility of the platform.
• Easy Integration: With connectors such as SDK Mobile, SDK Web, SDK Scanner, and API, Sky Signature seamlessly integrated into mobile, web, and desktop applications, allowing for effortless adoption and implementation.
• Sky Signature offered an unparalleled user experience, ensuring real-time signature verification guided by AI and Deep Machine Learning models. The system's cutting-edge technology allowed for data extraction from signatures worldwide, presenting a remarkable leap forward in the mission to revolutionize signature analysis.
Sky Signature achieved exceptional accuracies, validated on a vast dataset encompassing diverse documents and signatures. The system's capabilities encompassed signature analysis, extraction, and verification, proving invaluable in various industries and applications.
As we continue to innovate, let's embrace every opportunity to make a positive impact! :)♡
Skills: Machine Learning, Statistics, Object Detection, Business Analysis, Recurrent Neural Networks (RNN), CNN, Data Processing