Epigen Powers Facial Recognition in the Cloud with SingleStore – Case Study

Epigen Technology relies heavily on SingleStore as part of its core toolkit. Facial recognition is a challenging topic in AI, and Epigen has developed a framework that combines AWS S3, SingleStore, machine learning, AI, and visualization to improve accuracy and scalability. The system uses a scalable architecture, incorporating GPUs for vectorization and comparison, and utilizes SingleStore's Pipelines feature for rapid data ingest and processing. With SingleStore, Epigen aims to achieve higher accuracy, compare against other databases, and use full-motion video, which can help with applications such as shortening lines at airports and recognizing missing children. The technology is developed as a collaborative effort between Epigen and SingleStore, with the goal of creating a reference architecture for cognitive computing that goes beyond traditional machine learning and AI tools.

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