As part of my past experience at Indatacore, I had the privilege of contributing to the groundbreaking project, Sky Face Analysis , a system developed by InDataCore for face recognition and face analysis using liveness detection. This innovative project harnessed the power of deep machine learning to provide cutting-edge capabilities for identity verification and fraud detection.
Key Features:
• ID Picture Analysis: The system effectively analyzed images, including selfies, and matched them with the picture on the ID Card, ensuring quick processing within 1 second.
• Liveness Detection: By intelligently analyzing real-time video streaming, the system certified the proof of life of the user with processing times ranging from 2 to 4 seconds, enhancing security measures.
• Real-Time Face Recognition: Leveraging real-time video streaming, the system certified the identity of the user by matching facial images with the picture on the ID Card and performing liveness detection, with processing times ranging from 3 to 5 seconds.
• Security Levels: The system offered several security levels (low, medium, high) based on the criticality of the service, ensuring adaptability to different use cases.
• User Experience: Guided by Artificial Intelligence models, the system provided a seamless and unique user experience during face identity verification in real-time.
Sky Face Analysis was a testament to the power of machine learning in enabling accurate face recognition and analysis, while ensuring the highest standards of security. The project marked a significant leap forward in the mission to enable face analysis for various applications.
Remember, every step forward is an opportunity for progress. Keep pushing the boundaries of innovation! :)♡
Skills: Statistics, Image Processing, Computer Vision, CNN, Deep Learning, Data Analysis