Passive sensor for wall and corner installation using fuzzy theory.
■Adoption of Fuzzy Theory
The two outputs from the newly developed dual twin element are divided by the CPU into two pieces of information: the temperature difference and shape difference between the detection object and the background. Using fuzzy theory, it accurately determines whether the detection object is a human or a small animal, and outputs an alarm. Even when phenomena that are likely to cause malfunctions, such as small animals (like mice), stray light, drafts, and external noise occur, the dual twin effect ensures that there is almost no impact.
■Ideal Surveillance Area
Utilizing unique optical technology, a multi-parabola mirror is adopted. It monitors three-dimensional space with high density.
■Abnormal Alarm Function
While the sensor is in a surveillance state, the built-in program allows the sensor itself to monitor the next functions. If an abnormality is detected, it notifies of the abnormality through continuous alarm output and continuous illumination of the alarm indicator light.
●Low Power Supply Voltage Abnormality… The newly developed CPU constantly monitors the power supply voltage provided to the sensor. If the power supply voltage drops below a certain level, the abnormal alarm is triggered.
●Equipment Abnormality… In the unlikely event that damage or disconnection occurs in the internal circuits or connections of the sensor, the abnormal alarm is triggered.
●Aiming Position Abnormality… After confirming the surveillance area, if the aiming device is forgotten to be returned, the abnormal alarm is triggered.
