Multi person seamless temperature measurement facial recognition machines are generally used in places with a large number of mobile populations, capturing multiple faces for recognition and temperature measurement at the same time. The crowd does not need to stay, the temperature measurement range is wide, the number of people being measured is large, and the efficiency is high. With the prolonged epidemic, this type of temperature measurement device is becoming increasingly popular.

Choose a multi person temperature sensor without sensingFacial recognition machine all-in-one machineWhat issues should be noted?

Multi person seamless temperature measurement facial recognition machine integrated machine, also known as temperature measurement facial recognition machine integrated machine, but there are many differences in functional configuration. We can choose the appropriate product by comparing several dimensions such as blackbody, thermal imaging resolution values, and system algorithms.

1. Blackbody: The presence or absence of a blackbody has a significant impact on temperature measurement accuracy. With a blackbody, it can be ± 0.3 ℃, and even ± 0.1 ℃ in a stable environment. Without a blackbody, it is basically ± 0.5 ℃. For human body temperature, the difference of ± 0.5 ℃ is still quite large. Blackbody is a constant temperature standard that can be dynamically adjusted for temperature measurement accuracy with the cooperation of systems and algorithms.

If there is a black body, you must pay attention to how it is configured, whether it is an external black body or a built-in black body all-in-one machine, which are two different things. External blackbodies usually require manual temperature calibration, which requires a certain level of professional knowledge to operate, and should be manually calibrated every once in a while. If equipped with a built-in blackbody integrated machine, with the cooperation of the system and algorithm, automatic temperature calibration can be achieved. The system will actively calibrate at regular intervals, saving manpower and providing more accurate temperature measurement data.

2. System algorithm: The system algorithm has been mentioned many times before, because a good multi person seamless temperature measurement facial recognition machine is itself an automatic temperature screening system, which requires multiple sets of algorithms to implement: facial recognition algorithm, liveness detection technology, facial tracking algorithm, multi person seamless thermal imaging temperature measurement algorithm, etc. Without good algorithm support, even the best configuration is just a decoration. To verify the quality of the algorithm, one is to personally experience the product, and the other is to see if the brand has professional technical support.

3. Thermal imaging resolution: Thermal imaging is a detection device that uses non-contact methods to detect infrared energy (heat) and convert it into electrical signals, then generates thermal images and temperature values on a display, and can calculate the temperature value. The larger the value, the smaller the segmentation area, and the more accurate the obtained temperature value.