The article is from the public number: Heart of the Machine (ID: almosthuman2014) , author: Yu Yang, the original title: “fishing expedition security Department” most Thermal “AI temperature measurementIndustry: Daily supply of 100 sets of equipment, the single quote is more than 10,000 | AI war epidemic.
Introduction:
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When the new crown epidemic became a large-scale public health event, security companies began to join the epidemic Prevent and control sniper battle.
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Re-workers are rushing, and standing on the first post of temperature measurement becomes a sniper war. The essential.
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This is also a training ground for security and AI technology. On the timeline of the race against time, companies quickly Algorithm development, product design, integration of the supply chain, and final deployment will be completed. After this battle, the intelligent security industry may accelerate differentiation.
The flow of reflow workers and the first post of temperature control have become the key to sniper wars.
At the moment of the epidemic, it is also the Spring Festival holiday. The security enterprise team is “up against the current”. With the cooperation of the government, the AI temperature measurement project is effectively scaled: quickly complete algorithm research and development, solve supply chain problems, and implement verification … The story of the AI battle epidemic with emergency assistance was staged.
However, in this big test, the shortage of the supply chain and the delay of the start date have brought a lot of challenges to the actual landing of the AI thermometer. On the one hand, there is an urgent demand for public health facilities, and on the other hand, the epidemic There are many objective restrictions. What is the actual landing situation of the AI thermometer? What new opportunities will the security industry bring in 2020?
Emergency requirements in new scenarios
If you have set off on your way back, passing railway stations, airports, subway stations and other transportation hubs, it is not difficult to find that there is an additional camera around the security checkpoint.
Yes, this is a set of AI temperature detector, a tripod, a camera, and a notebook put together its basic form.
When a pedestrian passes by, his temperature will be shown on the display screen, and the sensor can pass without any sense when the temperature is normal; once a suspected high temperature pedestrian is detected, the system will automatically alarm and then the security personnel will perform a second temperature measurement.
In order to effectively respond to the high-traffic demand for epidemic prevention and temperature measurement, the AI temperature measurement project has a two-way blessing of infrared and artificial intelligence technology: infrared technology guarantees the need for temperature measurement at long distances without contact, and computer vision technology accurately recognizes Forehead area for quick positioning.
How to ensure efficient traffic and accurate temperature measurement is the proposition of the next generation of “security + AI” enterprises to tackle the epidemic.
Baidu, launched the AI temperature measurement R & D work in the year of Jiu Jiu. Nearly a hundred people in various departments fought. On the evening of the night, the mask wearing monitoring model for the epidemic situation was completed, and the video data sample collection to detection model construction was completed within 3 days. The basic research and development work will be followed by a pilot deployment at Beijing Qinghe Railway Station on the fourth day of the new year to welcome the peak of passenger flow back to Beijing.
Despise, CEO Yin Qi took charge personally, and urgently set up a working group of more than 100 people. The preliminary design of the AI temperature measurement was completed in the thirteenth year. The algorithm development and internal debugging of the screening system were completed before the third day of the new year. After fighting for more than 10 days, the entire system was officially launched on February 4.
Together with the deep pupil of Geling, an emergency R & D call of the Beijing Municipal Science and Technology Commission on the second day of the new year, coincided with the idea of CEO Zhao Yong. A team of more than 30 people was quickly established in just 8 days. Developed an AI temperature measurement system. The eighth day of the product has been “posted” in Beijing West Railway Station.
According to the heart of the machine, in order to catch up with the AI temperature measurement project, many employees live and live in the company directly, and some sleep only 2 ~ 3 hours a day … At present, no matter Baidu, Shangtang, Deaf, Geling ShenHitomi, or Gaode Infrared, Hikvision, Dahua, Yushi and other companies, have launched AI infrared temperature measurement products.
From the market landing plan, the industry mostly uses dual infrared / visible light sensors, combined with infrared thermal imaging and face recognition, to achieve multi-target temperature screening in a non-contact manner, and the temperature measurement accuracy is mostly ± 0.3 ℃.
Technically, it requires AI algorithms to do portrait recognition and tracking, that is, to accurately locate each face in the camera picture, and then calculate the face by combining the infrared temperature dot matrix (mostly forehead) .
Face recognition under the mask, ReID (Pedestrian Recognition ), and calibration between two cameras, etc. The details directly affect the effectiveness of each scheme.
From the perspective of the industry’s positioning of AI temperature measurement products, the value it plays is still in the initial screening, and for people with suspected high temperature, manual secondary temperature measurement is still needed to verify.
The reason why it is positioned as primary screening, on the one hand, primary screening + re-inspection can enhance safety from the process; on the other hand, it is limited by product accuracy and complex environment, which also has a certain impact on product availability.
In crowded scenes such as airports and train stations, once the crowd is out of the camera’s field of view, temperature detection cannot be performed. Therefore, when deploying AI temperature measurement products, certain personnel guidance is also required, or entrances and exits are set through the isolation belt to ensure that the temperature measurement is not missed.
Of course, there are still some restrictions on the initial screening program for fast launch.
The differences in technology and engineering between different companies bring different levels of temperature error. Although the error of most solutions is ± 0.3 ℃, some products still have errors of ± 0.4 ℃, ± 0.5 ℃Usability will have some impact. In addition, the working temperature of the infrared sensor is often 0 ~ 50 ° C. If the temperature is too high or too low, it will affect the temperature measurement accuracy. Therefore, in the northern areas of winter, outdoor may not be the ideal landing scene for AI temperature measurement equipment.
Although it cannot replace manual labor, the value of AI temperature measurement products is still important. In high-traffic scenarios, close-range security inspections are inherently very risky. Once crowd crowding is caused, the risk of security personnel’s work can be reduced through preliminary screening of body temperature.
Chen Tianbo, the product director of Geling Deep Pupil, also said that through the company’s test, the AI temperature measurement system has the same effect as the forehead gun. In his opinion, a good AI infrared temperature measurement solution must meet at least 3 conditions:
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The first is to have a high temperature measurement accuracy,
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Second, we must satisfy high traffic flow in a non-sensing, non-contact, and non-cooperative manner.
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Thirdly, it is easy to use and can be used simply and intuitively by security personnel.
Once an element is not available, it may increase the risk of epidemic spread.
At the same time, AI temperature measurement solutions have also begun to spread to low-volume entrance and exit scenes such as buildings, gates, and access control. In addition to companies such as Shangtang, Deaf, Geling Deep pupil, etc., innovative Qizhi, Yufan Intelligent and other companies also launched AI access control systems with face temperature control.
As part of community control, such products are valuable, but there is an obvious problem. The face recognition rate under a mask is insufficient.
The deficient AI temperature measurement products do not yet support face recognition under a mask, which explains, “This time through AI image technology + remote temperature measurement, the core is to be more accurate remotely in the case of crowds. Temperature test. ”
Shangtang Technology claims that when a person wears a mask, the face recognition accuracy rate is 50% when the nose bridge is exposedUp to 85%. Although some access control manufacturers have added infrared temperature measurement modules, they do not support face recognition under masks. They still need to remove the mask to “brush their faces” or cooperate with access control cartoons. It can be seen that there are still some technical bottlenecks behind the initial screening.
Supply chain constraints
Under the epidemic, factories were shut down and logistics stopped. Not only was there a shortage of core infrared sensors, but even some accessories were difficult to find. Security companies encountered non-technical problems. With the assistance of local governments, this step was taken. .
Since New Year’s Day (January 28) , security companies have successively promoted the pilot implementation of AI temperature measurement solutions. Baidu is in Beijing The Qinghe Station was put into trial. The pilot was deficient in Beijing Haidian Government Hall and Mudanyuan Subway Station. The Geling Deep Pupil was put into use at Beijing West Station.
After several days of trials, around February 3, each AI temperature measurement system has officially started operation. According to the data released by various companies, 15 to 20 people can be detected at high speed per second, and 200 to 300 people can pass the temperature measurement in one minute.
Contemplation claims that from February 4th to February 10th, its AI temperature measurement system went online for a total of 6 days, and the actual temperature measurement totaled nearly 5,000, of which more than 2,000 were measured on the first day of the resumption of work in Beijing on February 10. AI has begun to strongly support the return to work.
Along with the tide of rework, the urgent need for AI temperature measurement equipment from government units at all levels and the public sector. However, the other end is the severe supply chain shortage caused by the epidemic and the Spring Festival shutdown. The core infrared sensor has been included in the “wartime supplies” by the government, giving priority to the affected areas, followed by the government, the public sector, and finally the enterprise.
Chen Tianbo, product director of Green Eyes, said that with the help of the government, AI temperature measurement equipment has been implemented.Mass production, currently supplying about 50 sets per day, after February 13th, it can supply 80 to 100 sets per day. In addition to the Beijing area, many other provinces and cities have also raised demand, and companies will give priority to the public sector such as the government.
In order to shorten the product supply time, security companies have hired “courier”.
Chen Tianbo said that the company in Beijing directly sent a car for transportation, and the operation and maintenance personnel also followed. When it was delivered, it was quickly installed and the air was sent outside.
“The landing speed is now basically in hours. This morning, (February 8) is still at Jinsong Subway Station (deployed) , and at 11 o’clock at Xiaoying Metro Station
Will AI temperature measurement become routine?
After this battle, there is a voice in the industry that AI body temperature detection will become a basic service.
Baidu said that after the epidemic, the AI temperature measurement system can still be deployed in personnel-intensive places such as transportation stations, medical institutions, and various service centers. Pay more attention to relevant capacity building.
Chen Tianbo, the product director of Geling Deep pupil, talked about the company’s AI temperature measurement capabilities while developing AI temperature measurement equipment.Extend to existing industry scenarios, such as face-access control, building ladder control, and iterate existing products.
However, due to the urgency of demand brought about by the epidemic control, the core supply chain is scarce, and AI temperature measurement equipment is mainly supplied to the government and other public sectors. Cost has become a neglected issue.
The market price of high-flow AI temperature measurement equipment used in airports, railway stations, subway stations, etc. often starts at 10,000 yuan, and even the equipment integrated into the face brush access control needs 10,000 yuan.
A sales manager of Yufan Intelligent said that the total price of software and hardware for facial recognition gates with AI temperature measurement is 12,000 yuan. The ordinary face-washing brake only costs two to three thousand yuan, and the price is several times higher.
Innovative Qizhi also said that currently various components, especially infrared temperature measuring devices are in short supply. On the whole, the ten thousand yuan level is already a reasonable price.
If AI temperature measurement becomes a basic service, such a high price will become a key issue for its scale.
This is not only related to the current shortage of the supply chain, but also to the program itself. For example, in order to ensure the accuracy of infrared thermal imaging, deaf eyes and Dahua have adopted the “black body” scheme, and the real-time temperature correction of the black body is used to ensure the accuracy of the camera’s temperature measurement, but this physical implementation is often costly.
In contrast, Shang Tang and Geling Shentong have adopted non-black body schemes. Chen Tianbo said that it combines infrared thermal imager to measure temperature, ambient temperature, human body temperature and face temperature to form a unique algorithm, which can also control the accuracy to ± 0.3 ° C. Software guarantees accuracy. As the market expands, it may help to form more competitive prices.
Besides the price, as more and more AI temperature measurement schemes appear or are integrated into existing products, the phenomenon of a rush of the industry has already appeared, but do you need such products in every scenario? What is the real need? The industry should look more rationally at the “new opportunities” that the epidemic has created.
MoreIt is rumored that some manufacturers use industrial infrared sensors for human body temperature measurement, and the chaos in the industry has already appeared.
Accelerate the differentiation of “AI Security”
AI infrared thermometer, epidemic-proof outbound robot, AI diagnostic system for new coronary pneumonia, disinfection robot, epidemic-proof drone … AI is playing an important role in the epidemic.
In retrospect, the epidemic is more like a technical training ground. It tests the ability to develop algorithms for specific problems, quickly migrate solutions, integrate supply chains, and deploy capabilities. It tests the comprehensive capabilities of AI companies.
Although it is not a severely affected area, the epidemic has affected the business progress of AI companies to varying degrees. Under the epidemic situation, who can quickly develop a product that truly solves the problem and has withstood the test of the market, rather than blindly tapping hot spots, can occupy an advantageous position in the industry competition. From this point of view, the epidemic situation may accelerate the differentiation between AI companies to some extent.
Back to AI temperature measurement products, in addition to the participation of AI companies, there are also many security companies. Hikvision, Dahua, and Yushi have all unveiled intelligent temperature measurement systems, and they have a wider range of landings. Its supply chain integration capabilities and channel capabilities are yet to be strengthened by AI companies.
The increasingly mature artificial intelligence is becoming a special group of “retrograde” on the front of the fight against the new crown pneumonia epidemic.
Whether it is to accelerate the research of the epidemic in the early stage, or to assist the front-line epidemic diagnosis and treatment and on-site prevention and control, as well as the construction of the back-end information platform, artificial intelligence technologies and solutions have already appeared and achieved practical results.
The article is from the public account: Almost Human (ID: almosthuman2014) , of: blending Y
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