Astra™ is a cluster computing platform designed for highly scalable biometric identification and deduplication, supporting fingerprint, face, and iris recognition. It distributes data and matching algorithms across multiple computing nodes to enable rapid, large-scale biometric searches and complex identity resolution operations.

Key Features

Scalable Biometric Matching

• Performs one-to-many and one-to-one biometric matching across extremely large databases (tens of millions of records)
• Supports fingerprint, face, and iris recognition
• Executes millions of operations efficiently by distributing workload across multiple nodes

Algorithm Independence

• Platform is independent of specific biometric matching algorithms, as long as 1:1 matching capability is provided
• Can run one or more biometric and text matching algorithms in staged or parallel configurations

System Management and Monitoring

• Browser-based system monitoring dashboard provides real-time performance metrics and alerts
• Manages system configuration, topology, workflows, and biometric data cache
• Cluster controller automates deployment and execution of algorithms and data across nodes

Fault Tolerance and Reliability

• Highly fault-tolerant with integrated failover capability
• Uses proven, open source distributed computing framework for reliability and support

Benefits

Efficiency at Scale

• Enables rapid searching and matching operations on massive biometric databases
• Maximizes utilization of hardware resources for cost-effective operation

Flexibility and Extensibility

• Supports integration with various biometric matching algorithms
• Adaptable to different deployment and workflow requirements

Operational Resilience

• Highly reliable and fault-tolerant system design
• Continuous monitoring and alerting ensure system uptime and performance