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This video provides a complete guide to Face Detection and Recognition, covering both the theory and practical setup.
We start with the theory, explaining how face detection and recognition work, and how they’re used in real-world security scenarios.
In the Face Detection practical section, you’ll learn how to configure face detection analytics and how to search for face detection events using the NVR and Cam2 app.
Next, in the Face Recognition practical section, we show how to enable face recognition analytics and search for specific faces. You’ll also see how face recognition impacts the NVR’s AI resources and how to search for all events, successful recognitions, and unrecognized faces.
We cover managing face databases, setting up different triggers for each database, and using an E-Map to track recognized faces.
You’ll also learn how to search for a person within or outside a database using a photo from your phone’s gallery via the Cam2 app, as well as how to add faces to existing databases and review events on the playback timeline.
Finally, we go over Face Attendance, showing how to run attendance reports based on recognition results, understand the data, and export reports to Excel for easy analysis.
