Deep learning-driven video analytics offers numerous advantages, such as increased accuracy in event detection and alarm generation, a significant reduction in human intervention, and more cost-effectiveness.
Line crossing, loitering, vehicle detection, person on tracks, person or vehicle on level crossing, permanence, counting, queue management and control of turnstile passage.
Gender is classified as male or female; age range is divided into child, adolescent, adult or senior.
Recognizes outer garment, top, top, long or short pants, skirt or dress, as well as the color of the clothing.
Identifies the flow of people and/or vehicles during a given time interval.
Indicates how crowded a space is, classifying it as slightly, moderately or very crowded.
Identifies the presence of helmet, cap, balaclava, mask, sunglasses, and combination of the above.
Presence of smoke and/or fire.
Identifies an item previously visible in the scene is removed or disappears from its original location.
Identifies and classifies objects such as suitcases, backpacks, bicycles, scooters and wheelchairs.
Detects if a camera is covered or blocked, or if it has focus or saturation problems.
Analyzes how elements move within a particular space.
BI Xplorer is Lanaccess’ web application for exploiting the data generated by intelligent video analytics.
It improves operational efficiencies with information on:
Dedicated analytical equipment
Video recorder with analytics
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