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【2020 Solutions】 AI Temperature Screening Fu-Shan Assists in Effective Epidemic Prevention

Fu-Shan Technology, specializing in deep learning, dynamic facial recognition, and image tracking and analysis, provided critical AI temperature screening technology during the government's fight against COVID-19, playing a key role as a valuable tool in pandemic prevention.

With the pandemic escalating, it's mandatory to wear masks and check temperatures in public transport systems. However, in places with thousands of people, like factory areas or Taiwan Railways, it's challenging to measure temperatures individually without shortcomings.

AI + thermal imaging – a comprehensive temperature screening system

In response to rapid outbreaks of COVID-19 and influenza, Fu-Shan Technology has integrated AI facial recognition with thermal imaging technology to launch an AI-based smart temperature screening and RTC self-health management system, achieving automated screening and real-time abnormal temperature alerting. This also ties with AI facial recognition to provide employee temperature tracking and records in an electronic system, significantly reducing the burden of manual monitoring and queuing times.

Fu-Shan Technology’s CEO, Hong Kun-Yu, stated that existing thermal imagers can only identify the highest temperature source in the area and lack image recognition capabilities, rendering them as industrial thermal detectors. For instance, in train stations, thermal imagers detecting items like coffee or lunchboxes exceeding the temperature limit would trigger false alarms. Crowded places also fail to identify individual images for timely detection of febrile individuals.

Visual design makes it clear by displaying the temperature values on people

▲ Visual design makes it clear by displaying the temperature values on people

Using dynamic facial recognition, the system can read the relative position of a person's face while targeting the forehead area for automated forehead temperature measurement. This not only solves the issue of false alarms but also collects long-term, stable data to manage health. Importantly, it captures images of individuals with abnormal temperatures and correlates them with temperature data, date, and time to trace their contact history, effectively preventing epidemic outbreaks.

Potential false alarms with thermal imagers

▲ Potential false alarms with thermal imagers

Currently, Fu-Shan Technology has installed multipoint-thermal imaging systems for temperature screening in 21 train stations along Taiwan Railways’ western line, from north to south. The system allows non-contact temperature measurement for over 2,000 people with good results, as evidenced by Transport Minister Lin Chia-lung who personally experienced the system on-site.

Transport Minister Lin Chia-lung experiencing the AI-based smart temperature screening system

▲ Transport Minister Lin Chia-lung experiencing the AI-based smart temperature screening system

Aside from the camera, the AI thermal imaging temperature screening system comprises two software systems: RTC (rapid temperature check) to digitalize and visualize the obtained temperature data, improving the response to false positives and abnormal temperature alerts; and PTM (personnel temperature management), which, in crowded places, utilizes facial recognition data to confirm identities and temperature changes. Upon detecting abnormalities, it can trace contact history and infection sources to swiftly control the pandemic.

Collecting and managing public temperature measurement data

▲ Collecting and managing public temperature measurement data

Fu-Shan Safety Monitoring Solutions – Broad Application

As COVID-19 becomes more endemic like the flu, managing employee body temperatures becomes increasingly important. CEO Hong Kun-Yu mentioned that even after the pandemic subsides, the personnel temperature management system (PTM) can integrate with the company’s attendance management system, automating temperature management for employees to proactively prevent problems.

Indeed, Fu-Shan has been deeply involved in developing human form and behavior analysis technology based on AI deep learning for 2-3 years. The solutions include safety recognition for construction site personnel like hats and protective goggles, perimeter intrusion detection able to determine unauthorized entry, abnormal lingering, or abandoned objects within restricted areas, and excludes interference from leaves, animals, light, rain, etc. Also, fire and smoke detection employs AI to overcome misreports from red and yellow colors, and foggy weather.

Fu-Shan’s core technology in dynamic facial recognition, using CNN convolutional neural network and powered by GPU, achieves facial recognition in just 0.025 seconds. It covers wide angles up to 75 degrees on the sides and 45 degrees vertically, overcoming issues from lighting, posture, and expressions, significantly enhancing recognition accuracy to 99.51%. It is applicable for factory perimeter safety, bank access management, facial recognition payment, license plate recognition, reaching pre-alert and real-time dealing in smart image monitoring.

Fu-Shan Technology’s CEO Hong Kun-Yu

▲ Fu-Shan Technology’s CEO Hong Kun-Yu

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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