From the year of 2014, Sunell launched the first generation of human body temperature measurement product, which established its leading position in fever epidemic screening systems. It featured “AI+ Bi-spectrum” and high accuracy that reached +/-0.3℃. For the 7 years, Sunell has introduced its 3rd generation total solution. It is now providing protection for resumption of production and working. 

At the start-up of 2020, Covid-19 had been sweeping through the mainland of China, and now is getting threatening worldwide. From the occurrence of the epidemic to today, Sunell's ''panda camera'' -- Body Temperature Measurement System played an important role in the work of prevention and control of epidemic. It has become the guardians for thousands of prevention and control site and points worldwide.

Accomplishments can’t be acquired overnight, and opportunities are always for those who are prepared. This article tells a team’s growth history, the time tag on each photo bears in mind the ingenuity of a kind enterprise. 

Seven years ago, that was on February 28, 2014, Sunell announced the new generation of infrared thermal network cameras, which indicated the mass production of the thermal cameras after more than 2 years exploration and research and development. It was from the day onwards that Sunell became the provider of “AI+ Thermal” 24/7h Intelligent Video Surveillance Solution.

Our direction is temperature detection. From the forest fire prevention to electric power inspection, we were aiming for detection and monitoring to expand our product road, particularly for temperature detection. The turning point was revealed by an official published article a few months later. 

The picture with face temperature hinted that Sunell would be exploring human body temperature measurement. This attempt stimulated Sunell people's spirit of perseverance and the pursuit of perfection.

According to those official tweets, the first time when Sunell Introduced Thermal and Visible Body Temperature Measurement System with full sincerity was during CPSE 2015. Sunell's thermal cameras extended us a crucial line — Body Temperature Measurement.

We named the 1st generation of human body temperature detection products as Dual Vision Temperature Measurement System. It seemed much fitter in the current epidemic. The system could collect faces and temperature information instantaneously, and the face recognition function was directly embedded in the first version of CMS. At that time there were only a few manufacturers can do that. It gave us a sense that our conquest was “the sea of stars”. We ridiculed ourselves that we are the best thermal camera providers in the monitoring vendors and the best monitoring vendors among thermal cameras providers. However, our goal is not only“the sea of stars”, but also to love people and embrace people's health.

By chance we decided to apply the preliminary results to the primary schools. In the following projects, we started from nothing and tried everything. It was more than a system, but an experimental product focusing on gathering information and summarizing demands. According to the projects including schools of Huairou district of Beijing which were initially piloted, the accuracy of temperature measurement and the rate of face recognition are slightly flawed. 

On the eve of Chinese National day October 1 in 2016, we landed 6 sites located in Huairou branch of Guangming school and Huairou central school. The system was deployed at the halls and main entrances of the schools. We invited a local professional cameraman to have students very standard photos for the use of registration in the system. Children’s naïve smiles and the cameraman’s professional poses impressed us. The memory was as beautiful as the melody of "Childhood".

The 1st generation server and interface of VMS are simple, but it was classical and very significant to us. After more than half a month of implementation and repeated debugging, the comprehensive performance reached the standard and was accepted and passed by the school's commission.

We deployed more body temperature projects in the following one year in schools, prisons and other places. During the process of continuous optimization and improvement, the system was getting more accurate and smarter on temperature detection and face recognition. The functions are richer and better. 

During 2017 and 2018, we welcomed one more milestone-- the project of students’ temperature measurement system in the whole Anning District of Lanzhou City. That was the largest and most complicated projects among the whole domestic market no matter the coverage or the number of temperature detection points. We set many ''first''  in this project—the first large-scale application on campus, the first multi-level networked data sharing, the first body temperature measurement mobile phone APP, the first docking Platform data, the first display of temperature measurement big data. In the early stage of construction, we obtained the feasibility report from more than twenty schools through surveying the environment, which provided the valuable information for the following biddings and project implementation. 

We had deployed a large number of temperature monitoring points in all middle schools, elementary schools and kindergartens under the Anning District Education Bureau of Lanzhou City. Composed by thermal cameras with the panda appearance and black body calibration, etc., the monitoring sites collected the students’ body temperature and face photos, and transmitted the information back to the server deployed in the information center through the special education network. The platform recorded and analyzed the information, if detecting any fever data, it would reported to the relevant teachers, school leaders or the educational administrative through platform and App. It made students’ data of health status in grasp and perceive the health situation in advance. 

The 3D visualization big data platform of the Information Center of Anning District Education Bureau displayed the whole district’s temperature data in real time. At present, it had already detected temperature for a total of 6.86 million students. Big data is also displayed the fever warning in the form of a 3-dimensional band chart at different times of the day. The chart showed the peak of fever warning was just at the period between autumn and winter. We could also see the temperature measure and warning data from the detecting sites of each school per day, per week and per month. Those data ensured the Education Bureau to master the students’ health states and take actions in case of epidemic. 

Going through thousands of days and nights, overcoming a variety problems and hardships, testing and debugging hundreds of detection sites and upgrading enormous data configuring, we reached an stable 0.3℃ temperature measure accuracy and a big breakthrough on multi-person of human face recognition algorithm by millisecond, and meanwhile developed the platform covering almost all functional requirements on human body temperature detection. Last year, we made persistent efforts and tried several different new functions and deployment methods in several important areas such as Tianjin, Shenzhen and Shenyang to make the system more complete and excellent. 

Our Body Temperature System is more than an evolution. So far it ranks among the best in terms of speed of temperature measuring, number of people faces detected, and accuracy and variety of functions of the platform in both domestic and international markets. We believe that we will definitely win this battle and return to more normal times in the nearest future.