AI-based Digital Identify Verification
Compare and Search Faces in Images/Videos
State of the art Accuracy on Local Ethnicity
Top Accuracy Scores on Global Benchmarks
Breakthrough Fraud Detection Capabilities
Supports Side Face and Partially Visible Face
CodeMarshal research has built an AI-based in house proprietary face verification and recognition technology that is currently on par with the global state of the art of 99.6% accuracy and with a millisecond range response time. Using breakthrough loss functions and deep learning technology the system has been tuned with the faces of our local ethnicity to produce unmatched results where global solutions still struggle. In a client audit against bangladeshi NID dataset, our technology produced more than 99% accuracy with 0 false positives where global open solutions were found to be heavily lagging. Individual components of our system also produced top scores against globally recognized benchmark datasets like LFW, WIDERFACE, MEGAFACE, IMFDB, CFP-FP, DeepGlint etc.
As the system must be resilient against wide range of security issues and identity fraud, our research is also focused on the following technologies:
ID Proof Reading using OCR and Face Verification
Liveness Detection & 3D Depth Perception from Camera Feeds
AI Generated Fake Image & Video Detection aka DeepFakes
2D & 3D Anti Spoofing against Face Editing and Masking
Marshal KYC utilizes CodeMarshal’s proprietary technology to deliver instant customer onboarding
CodeMarshal’s state of the art facial recognition technology is a part of CM vision engine -which is specially crafted to serve the need of identification and forensic applications for South Asia. Using the high accuracy in low light and side face, FaceMarshal is currently being used in CodeMarshal’s forensic and surveillance as well as attendance system. Apart from own applications, FaceMarshal API is also available for third party applications.
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Chief Executive Officer
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