BriefCam’s comprehensive video content analytics platform raises the bar with new breakthrough capabilities, precise accuracy and superior performance. BriefCam, a provider of Video Synopsis and Deep Learning solutions, has announced v5.3 of its innovative and extensible video content analytics platform. BriefCam v5.3 introduces new breakthrough capabilities across all three of the platform’s integrated solutions. This delivers a powerful and innovative approach to making video content searchable, actionable and quantifiable. BriefCam v5.3’s highly accurate face recognition extends its real-time alerting, search and quantitative analytics capabilities.
Leveraging Deep Neural Networks trained in diverse data sets for accuracy in face matching. BriefCam v5.3’s face recognition capabilities help streamline post-event investigations and supports rapid response to situational changes. It also allows for richer operational intelligence for data-driven decision making. BriefCam v5.3’s robust multi-camera search capabilities identify men, women, children and vehicles with speed and precision using 25 classes and attributes, face recognition, appearance similarity, colour, size, speed, path, direction, and dwell time. The precise face recognition rapidly pinpoints people of interest in real-time using digital images extracted from video, external image sources and pre-defined watchlists. The dynamic case collaboration improves investigation productivity and time to target statistics.
The new platform provides efficient operational intelligence. The seamlessly correlated video content with third party data sources such as Point of Sale, Time Management, and Access Control provides unique insights into operations. The highly customisable dashboards aggregate and trend identities, object interactions, demographics, hotspots, and vehicle movement patterns over time. The integrated face recognition enables unique insights into employee productivity and customer satisfaction.
BriefCam v5.3 attains situational awareness. The real-time alerts are based on face recognition, vehicles and people in areas of interest, provide immediate notification of situational changes. Its scalable watchlist management enable rapid and powerful rule configuration. It also provides effective balancing of sensitivity, accuracy, and efficiency minimizing alert fatigue
