LHIRD2-N-BK

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Proximity/occupancy sensor technology has been used in many industries for a long time, and the LHIRD2-N-BK application field and working principle have made it a black-box solution to address many of the problems of ensuring safe and reliable safety monitoring. This article will look at the LHIRD2-N-BK application field and its working principle.

The LHIRD2-N-BK is a non-contact infrared proximity/occupancy sensor that uses an array of thermopiles to detect the presence of persons in the monitored area. It is highly sensitive, and can detect a person from a distance of up to 8 feet. The sensor is designed for use in areas that require safety monitoring, such as industrial, retail, residential, and public spaces. When a person enters the monitored area, the sensor detects the presence of the person and triggers an alarm or other alert.

The LHIRD2-N-BK operates using a passive energy-harvesting technique, meaning that it does not require an external power source for operation. This makes it particularly suitable for installations in remote or hard-to-access locations. All the power needed to operate the system is generated by the thermopiles, so there is no need for an external power supply.

The working principle of the LHIRD2-N-BK is based on the absorption of infrared radiation. When a person enters the monitored area, the thermopiles absorb the infrared radiation from that person, and the temperature of the thermopiles increases as the infrared radiation is absorbed. This increase in temperature is detected by the sensor, which then triggers the alarm or other alert.

The LHIRD2-N-BK is highly sensitive and reliable. It is designed with a sensitivity range of up to 8 feet, so it can detect a person even when they are some distance away. The sensor is also resistant to false alarms, due to its advanced algorithm, which reduces the chances of false positives.

The LHIRD2-N-BK is a convenient and efficient solution for addressing safety issues in a variety of locations. The passive energy-harvesting technique makes it suitable for remote or hard-to-access areas, and the advanced algorithm reduces the chances of false positives. In addition, the sensor is highly sensitive and reliable, making it a reliable solution for a variety of monitoring tasks.

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