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»Overview
Frustrated on high false alarm ratio and low detection rate? Shouldn’t it be vice versa? Now it is - finally there is an automatic video incident detection system (aka AID, AVID or VIDS) that achieves both of the most important goals: low false alarms ratio and high detection rate.
X-AID™ Video Examples
X-AID™'s leading edge is based on unique and the most advanced algorithms, including video recognition and object tracking, pattern recognition and foreground object recognition algorithms.
Not affected by the most common causes of unreliable operations
• Camera vibrations
• Weather conditions
• Luminance variations
Machine learning setup process and automatic calibration ensure that there is no need for periodic setup or calibration once the system is deployed.
Reliable on low quality video streams
Standalone or an integrated part of topXview™
Some of the examples on how X-AID™ handles situations that are problematic for conditional AID:
• Direct light influence
• Camera vibrations
• Luminance variations
• Bad weather conditions
• Detection of camera shift
• Recognition of small objects and complex scenes
• Pedestrians detected between vehicles
• Static shadows