BriefCam adds facial biometrics to mobile app, LPR and people counting to video analytics platform

facial-recognition-database

BriefCam has upgraded its product portfolio with biometric facial recognition introduced to its mobile app, and new video analytics capabilities such as license plate recognition, people counting, and further video surveillance deployment models to boost performance, accuracy and product usability, the company announced.

“BriefCam continues to build upon its best-in-class video analytics platform with key capabilities that expand use cases for accelerating video investigations, attaining situational awareness and deriving operational intelligence,” said Stephanie Weagle, BriefCam CMO, in a prepared statement. “We are excited to offer innovative new features and more freedom of choice for deploying BriefCam video analytics.”

The license plate recognition feature was introduced for ‘in the wild’ surveillance based on watchlists, data uploads and existing video. When license plates show up in a predefined watchlist, rule-based alerts can be triggered so vehicle activity can be closely monitored.

BriefCam offers the people counting function for customers to oversee occupancy data, for pose detection and real-time identification of queue formation thresholds.

The company’s mobile app has also upgraded to use biometric facial recognition technology to identify faces in video and match them with images from other cameras.

For more flexible deployment, the company introduced BriefCam Investigator, Cloud Edition. It is used by law enforcement for file-based video ingestion without any on-premise hardware requirements to speed up and secure video investigations.

In 2019, the San Diego Police Department was working with BriefCam to deploy its video content analytics platform at the Real Time Crime Center for the entire city, and the company integrated real-time facial biometrics in late-2018.

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