There are many variables to either implementing intelligent video in to your surveillance system or using it in practical applications.
To help sum up the recent intelligent video posts here now are the 4 Best Practices for IV Applications:
In any kind of surveillance application getting the right video from your cameras is key and no more so than in intelligent video applications. There are 3 main factors to consider when working with image quality:
Complex mathematical alogorithms are the driving force behind processing video and images for IV applications. How well your application works depends on how well these algorithms perform. Only field testing your application can determine its accuracy.
There are bound to be “false positives” in intelligent video applications. That is, mistaking a harmless object or event for whatever it is that you’re on the lookout for. Therefore, 90% accuracy is most realistic number you can bank on.
Because these mathematical algorithms are so complex they need a lot of power to operate. Their performace then is also dependent on the processors you’re using and the amount of available memory.
Generally speaking, the more computer processing power to run your IV application the better it will perform.
Since every application is different you will need to configure and fine-tune the system based on your specific needs. No system is perfect but the goal should be to reduce the amount of false alarms to a minimum. Keep these things in mind when setting up your system:
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