Advanced Materials Science Research

Object Tracking And Monitoring

 Item tracking and monitoring committed to developments in the use of data analysis in the assessment of environmental threats to man and climate. To track and control objects using audio, the object's audio signature must be correctly tracked and identified when present, while being embedded in noise. To achieve that objective, the object's noise and audio signature must be modeled first. Based on the above model, algorithms must be developed and implemented that accurately detect changes from absence to presence of the audio object, and vice versa. An object tracking device for controlling objects as they traverse a managed space is revealed. This system provides for efficient processing and creates a database output that includes the direction each object has traveled along with an identification of the particular time this object was counted at. The system allows for efficient processing by pixel blocking and the use of a crop box to reduce the analyzes needed. The issue of object tracking and monitoring requires various different components of signal processing, including automated object detection in noisy images and automatic noise recognition of audio signal operation.  

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