The disadvantages of grayscale algorithm

The disadvantages of the grayscale algorithm in the alarm system are as follows:

1. The grayscale algorithm is totally unable to distinguish the difference of radiation quantity between long-distance fire with high-temperature(above 150℃) and short-distance object with moderate temperature above 50℃ (such as a cup of hot water, hot summer ground, etc.). There are many false alarms.

2. It is necessary to repeatedly adjust the switch sensitivity level when the grayscale algorithm is used to distinguish whether the alarm target is fire source or not. However, it is impossible to judge how to adjust the level in the actual operation of 24h automatic scanning, because each screen is independent.

3. If continuous scanning is used instead of frame-by-frame scanning, the target surface itself is in a moving state during the scanning. With the grayscale algorithm, the system cannot generate panoramic images and cannot prevent a large number of false alarms, such as moving interference sources (cars, etc.) and fixed interference sources (radiation from photovoltaics, reflective rocks, iron towers after heat absorption).

Can we achieve the gas monitoring?

The gas monitoring mainly relies on the technological application of mid-wave infrared and short-wave infrared, with quite high cost. At present, our system cannot analyze in detail the type of leaked gas (such as sulfur dioxide, etc.), but it can detect the increase or decrease of emissions to achieve the detection of excessive emission and unauthorized emission.

What is infrared thermal imaging?

Infrared thermal imaging uses photoelectric technology to detect the specific band signal of infrared ray emitted as the object's thermal radiation, and convert the signal into images and graphics that can be visually distinguished by humans, and further calculate the temperature value and display the temperature distribution on the surface of the object in the form of thermal images.