Biometrics on the Edge: AI-Powered Solutions for the Next Generation of Biometrics

Presented by Matt McCrann during the Knowledge Exchange session at connect:ID 2018, Washington DC

Governments and enterprises worldwide are experiencing a significant increase in the sheer volume and diversity of relevant incoming data. As it relates to biometrics, the continual increase of raw data results from several operational factors. From large security camera networks producing high resolution video streams to field operations where Law Enforcement personnel require mobile and multimodal solutions, the need to not only capture and manage, but also process various biometric signatures and gather intelligence in near real-time is imperative.

Today's Biometric Challenges

Several challenges arise as organizations and government agencies look to leverage the latest technology to meet growing biometric requirements.

An increasing number of sensors and edge devices can produce an overwhelming volume of relevant data. Agencies not only have to worry about managing the data, but making sense of it. Corresponding to the increase in networked biometric devices is the demand for bandwidth on the network for those devices. Demand can also increase for other resources such as power consumption, processing resources, and in some cases personnel.

The clear benefits of mobility and real-time processing are also driving the requirement for reliable, always-on connectivity and communication from data center to the furthest edges of the biometric process. Due to the nature or location of an organization's operational responsibility, uninterrupted connectivity may not always be available or feasible.

The bandwidth and connectivity required to allow for advanced processing in near real-time can also be a challenge for biometric operations that rely on a traditional architecture that captures information from static endpoints such as a CCTV camera, enrollment device or machine and processing information from a central location.

Challenges such as these are not unique to any one organization or even industry. As next generation biometric systems that allow for mobility, real-time intelligence, and multimodal functionality are adopted, Federal and Law Enforcement agencies, airports, and campuses alike will need solutions that account for these new challenges.

Next Generation Biometric Solutions

The Next-Generation of biometric systems need to incorporate flexible, hybrid architectures that allow for easy integration with existing infrastructure and redundancy across the network.

Decentralizing the overall system, leveraging edge computing, and allowing for adaptation as the needs and requirements of the end user and operation morphs is necessary. Synchronization among the solution’s main components such as biometric devices, servers, and databases is critical for efficiency, but so is the ability for each of these components to operate independently when no network connectivity exists between the other components. With or without network connectivity, the next generation biometric systems need to work in both cases and this means leveraging technology such as Artificial Intelligence and Deep Machine Learning. Biometrics built with AI, can allow for more efficient utilization of computational resources and asynchronous network communication, which will enable centralized processes used for analysis, matching, and biometric database storage to move from the data centers and security operations centers to the edge, closer to the source utilizing hardware such as micro computers, smartphones, and even onboard the current enrollment devices.

Camvi’s Biometric Approach

Camvi Technologies has developed its AI-powered biometric solutions to address not only the challenges of today, but provide users with the adaptability to solve for tomorrow’s challenges as well.

Leveraging its advanced AI, Camvi’s facial recognition platform, can search databases containing more than 1 Billion faces in under 1 second. In addition to its speed, CamviServer can search across multiple databases, include other biometric modalities, and integrate with existing solutions, enabling powerful end-to-end biometric solutions tailored for public safety, border security, and access control.

With its hybrid architecture, Camvi’s enterprise capabilities become decentralized, operating on edge devices like CamviEdge, phones, tablets and integrated 3rd party hardware platforms providing real-time, integrated facial recognition to airport security gates, Border Entry/Exit systems, tactical or law enforcement vehicles, and enrollment kiosks.

Focusing on mobility and providing the flexibility to operate anywhere, Camvi’s lightweight software allows for server, client, and database to operate standalone without any network dependency. CamviClient allows users to perform biometric enrollment, search, and match with smartphones or tablets with or without network connectivity back to a centralized location.

As biometric technology continues to advance, commercializing, ruggedizing, and implementing the technology will create new challenges for organizations. Camvi, with the strength of its technology and focus on flexibility, mobility, and adaptability, stands ready to help its customers and partners solve their most difficult biometric challenges.