False alarm light to pixels
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While achieving zero false alarms is very difficult, reducing false alarms to a tolerable level is possible by properly adjusting pixel sensitivity, determining appropriate object sizes based on camera location and height, accounting for outdoor factors like animals or indoor factors like light reflections, and maintaining consistent lighting. The acceptable number of fault alarms should be defined to balance detection capabilities with nuisance alerts.
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- 1. *Light to Pixels*aboutPKIP-PPUMonitoring. We are veryfar away froma dayof *ZERO false alarms*. You nevergetto zero(false alarms),butif youreduce itseveral Levelsof Magnitude, it’s*TOLERABLE*. Adjustingtoomuchof the sensitive of pixels,muchmay cause the Systemfail todetectpixel changesorreduce the detectionrange. *Why do Analyticsfails?* Beloware the mainpossible causesof *False Alarm” atPPU *Analyticobjectsize*:Determine the distancetoobjectsize. *Camera locationandheight* *Outdoor*: Animals,Vegetation,Insectsandspiderweb *Indoor*: May causedby lightreflectionduringsunrise andsunset. Solution:Blindortintedthe indoorwindows. *Light*: Maintainthe lightlevel (lux) Day&Night *WeatherCondition*:Rainandwindy..actof God We shoulddefinethe acceptableandtolerablenumbersof *faultsalarm*. Free advice andconsultationfrom Raj.TQ