Paravision Elevates Computer Vision and Facial Recognition Technology
Paravision Enhances Computer Vision and Facial Recognition
US-based Paravision has unveiled significant upgrades aimed at enhancing its computer vision and facial recognition capabilities across various platforms, including mobile, on-premise, edge, and cloud environments. “From cloud to edge, Paravision’s goal is to help our partners develop and deploy transformative solutions around face recognition and computer vision,” stated Joey Pritikin, Chief Product Officer at Paravision. The company sees great potential in unifying disparate applications with a coherent identity that connects both physical spaces and cyberspace.
A notable feature is the new Scaled Vector Search (SVS) capability, designed to serve as a powerful search tool for accurate, rapid face matching within extensive databases that may include tens of millions of identities. Paravision claims that the SVS engine can handle hundreds of transactions per second while maintaining remarkably low latencies.
Additionally, a solution named Streaming Container 5 allows for the processing of video at speeds exceeding 250 frames per second from multiple streams. This solution incorporates advanced face tracking to ensure accurate identity recognition in busy settings.
With more businesses leveraging the benefits of latency reduction and enhanced privacy through edge computing, Paravision has partnered with Teknique to develop a series of hardware and software reference designs. These collaborations facilitate the swift development of face recognition and computer vision capabilities at the edge, utilizing Teknique’s expertise in hardware, which derives its designs from Ambarella, a California-based fabless semiconductor company.
The enhancements also extend to Paravision’s Face SDK, which has been tailored for smart cameras powered by Ambarella’s CVflow chipsets. This update allows facial recognition technologies on these cameras to achieve performance of up to 40 frames per second. A new Liveness and Anti-spoofing SDK introduces additional safeguards for facial recognition systems by employing visible light, near-infrared, and depth-sensing capabilities to differentiate between live subjects and potentially deceptive images.
On the mobile front, Paravision has launched its Face SDK for Android, which encompasses features such as face detection, landmark identification, quality assessment, template creation, and both 1-to-1 and 1-to-many matching. The SDK comes with reference applications that provide UI/UX recommendations and additional tools for developers.
Moreover, Paravision has introduced its initial person-level computer vision SDK, designed to transcend basic face recognition by identifying the presence and positioning of individuals, thereby unlocking new potentials in various applications. For example, this SDK can be used for occupancy analysis, recognizing tailgating behaviors, and monitoring specific attributes of subjects.
“With Person Detection, users could determine whether employees have access to restricted areas, are equipped with safety gear like masks or hard hats, or may require assistance,” the company notes. This technology can also yield valuable business insights, such as metrics on queue times and customer flow.
With these extensive updates, Paravision is establishing itself as a leader in the AI landscape. The company is recognized as a top performer in multiple categories of NIST’s Face Recognition Vendor Test evaluations, including 1:1 verification, 1:N identification, and performance in scenarios such as paperless travel and wearing face masks.
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