What are the main applications of insect face recognition technology?

I believe that everyone like me will feel incredible when I hear about "insect face recognition" for the first time, but with the development of science and technology, in agricultural scenarios, people will use this high-tech to identify the types of insects, you must know that the difficulty of insect face recognition technology is no less than "face recognition", because the insects are very small, most of them look the same, many times even experienced farmers can not identify some pests, let alone us agricultural whites, at this time Topyunnong's "seeing insects" comes in handy, Farmers can identify pest species in a few seconds, and obtain corresponding control guidelines, identify and treat insects, and scientifically take agricultural operations.

"Insect face recognition" sounds quite incredible, in fact, it is similar to the "face recognition" we usually use, but the insects are smaller, the difficulty may be greater, the insect face recognition technology sounds very far away from us, we rarely use it in daily life in the city, but the role in the field of agriculture is very large, and now some companies have developed free software to experience, such as Topp's "see the worm" as long as you don't know the bugs, Take a photo with your mobile phone and upload it will jump out of the introduction and prevention and control methods of this insect, not only for agriculture, in fact, the insects we see in daily life can be photographed, and it is also the gospel of insect lovers, but it is said that it is currently only applicable to the Android system, and there are also small programs, this kind of tool for the benefit of the people, looking forward to them doing more technical upgrades.

In agricultural operations, often encounter some unknown field pests, find agricultural experts time-consuming and laborious, indiscriminate application of pesticides and fear of bad crops, and later use the "see insects" as long as the mobile phone takes a **, a few seconds can identify the species of pests, and obtain the corresponding control guide, to achieve rapid insect identification and insect control, scientific and efficient agricultural operations, or free to use.

Insect face recognition technology is mainly used in the detection and reporting of insect conditions in the agricultural field, such as the intelligent monitoring and early warning system for field insect pests, and the early warning system for the prevention and control of forest diseases and insect pests. It is mainly the use of image recognition, agricultural Internet of Things, artificial intelligence and other technologies to automatically collect data, automatic "insect face recognition", accurate positioning of insect pest types, automatic analysis of data, ** future insect trends, such as top intelligent detection and reporting lights, "insects" are all applied to insect face recognition technology.

At present, the application of face recognition system is still relatively wide, such as ** retrieval, beauty stickers, access control attendance, these are already very mature. The specific use scenarios are:

2. Security field. At present, a large number of enterprises, residences, communities, schools and other security management is becoming more and more popular, and the face access control system has become a very popular security method.

3. Passage field. Railway stations in many cities have installed face recognition access equipment to compare and inspect people's certificates, and subway stations in some cities can also use face recognition to enter and exit the subway.

5. Public security and judicial fields. The public security system will also use the facial recognition system to locate fugitives when chasing fugitives, and the prison system will also call and secure inmates through the facial recognition system.

6. Self-service equipment. Such as bank ATMs, unmanned supermarkets, etc.

7. Attendance and conference affairs. Such as work attendance, meeting attendance face wall, etc. At present, the giants in the face recognition market mainly have shopping malls, and there are also many small companies invested by giant companies in the field.

Let's imagine these scenarios:

In the morning, your phone's alarm goes off and you turn on your phone.

The phone's camera captures and recognizes your avatar, and the phone recognizes you and unlocks it immediately.

I played with my phone and got up to buy breakfast.

In the breakfast shop, after buying breakfast and paying, you don't need to take your mobile phone, just brush your face and pay.

When you arrive at the company, you turn on your computer and receive an email that you are late.

Because there is a face recognition attendance instrument at the door of the company, when you enter, your face will be captured.

When it's time to relax, you watch the movie and find that a certain star actually made a children's inappropriate film.

When you open it, you find that it's really that star, exactly the same.

In fact, it is not the star himself, just a stand-in, and all the actions are done by the stand-in.

Then, by collecting the 3D data of the star's face, the face is synthesized in the later stage, the face is changed, the light is filled, etc., and the stand-in is completely made like the star.

At this point, the action blockbuster is complete.

You hesitate for a moment, but still don't look at it, it's not interesting.

Finally, the phone lights up, giving you a step towards the blockbuster you like. Because the mobile phone software detected your face and found that you didn't like the movie just now, it immediately pushed you a blockbuster.

Face recognition can be copied and applied in Jinbairong, justice, military, public security, border inspection, aerospace, etc

Zhi electricity, factory, teaching.

1. Enterprise and residential security and management.

2. Electronic passport and ID card.

3. Public security, justice and criminal investigation.

4. Information security: such as computer login, e-government and e-commerce, all transactions in e-commerce are completed online, and many approval processes in e-government have also been moved online.

Face recognition products have been widely used in the fields of finance, justice, military, public security, border inspection, aerospace, electric power, factories, education, medical care and many enterprises and institutions.

The initial application of face recognition originated from the public security department's archival management and criminal investigation of criminals, criminal investigation and case solving, when the public security department obtains the criminal's **, you can use face recognition technology to find out the most similar person as a suspect in the database of storing criminals, which greatly saves time and material resources for solving cases.

1. Financial sector. Face recognition current.

It is most widely used in the financial field, and the current domestic finance.

Is it good that there are many thieves?,Now all kinds of passenger stations、Shopping malls、Schools、Construction sites、Finance、Buildings and other industries can apply face recognition technology,In this regard, you can pay attention to Rainbowsoft face recognition technology。

Face recognition technology has a wide range of needs in industries and departments such as public security, national defense, customs, transportation, finance, social security, and medical care, and will be widely used in electrical appliances, retail and other fields in the future.

For example, hotels, community access control, schools, shopping malls, construction sites, etc., these places will use face recognition technology!!

Applicable scenarios: public toilets, scenic spots, schools, hospitals, shopping malls, airports, railway stations, high-speed service areas, etc. Reduce paper purchase costs and save 70% for toilet managers. Zhejiang Wanwei recognition technology provides paper-saving solutions for public toilets, scanning through face recognition, people only need to take off their hats and glasses and face align with the screen of the device, and 60-90 cm toilet paper will be taken through 3 seconds of scanning, and each person has a certain time limit between taking paper, so as to avoid waste.

According to statistics, it can save 75% of the cost of paper purchase for enterprises every month. The face recognition toilet paper machine uses the characteristics of quantitative paper output through facial scanning, which plays a role in convenience, saving, safety and environmental protection.

There are many fields in which face recognition can be applied, such as company face attendance punching, bank withdrawals, public security and so on, in these fields, the technical requirements in the field of public security are the highest, and the visual Weiye focuses on the field of public security and security, and has a long-term cooperative relationship with the Changsha Public Security Bureau.

For example, Yunmai face recognition technology has high recognition accuracy and is not affected by some makeup, glasses and other factors

1.Enterprise and residential security and management: such as face recognition access control and attendance system, face recognition anti-theft door, etc.

2.Public security, judicial and criminal investigation: such as the use of facial recognition systems and networks to search for fugitives nationwide.

3.Self-service: such as self-service real-name authentication, self-service remote account opening, etc.

4.Information security: e.g. computer login, e-government and e-commerce.

Have you paid attention to the recent concert between Zhang Shaohan and Jacky Cheung, and the criminals were arrested, that is, relying on face recognition.

For example, ArcSoft face recognition technology is applied to campuses, communities, buildings, construction sites, scenic spots and other places.

At present, Yunmai face recognition technology is suitable for stations, **, financial industries, etc.

The most important thing for face recognition is the application of the scene, because technically speaking, the recognition accuracy of each company is not much different, and the LFW data is very close, and the real difference lies in how to apply, in what scene, with what channel to enter the market, the application field of face recognition is still quite wide, I know the following fields: finance and insurance, new retail, robots, site attendance, etc.

Kaiwei Technology is different from other face recognition companies in that we not only do face recognition, but also have a deep accumulation in the field of augmented reality in the early stage, AI+AR technology in the form of intelligent advertising screen hardware landing, so that we have a good entry point in the new retail scene.

At present, it has been used in many fields, and may be used more in finance, construction sites, and security in the future. Friends, you can pay attention to the face recognition technology of ArcSoft open platform

At present, the customers of Arcsoft Vision Open Platform involve various fields and industries, such as smart tourism, smart education, smart government affairs, smart travel, smart buildings, smart communities, smart construction sites, robots, etc. You can take a look at the Arcsoft Face Recognition SDK

There are many uses that a facial recognition system can be used for:

1. Enterprise face recognition.

2. Face recognition in scenic spots.

3. Community face recognition.

4. Face recognition at construction sites.

5. Face recognition in the factory area.

6. Gym face recognition.

7. Brush your face with your mobile phone.

8. Payment system.

9. Face lock.

Face recognition access control at the gates of communities, companies, schools, etc. requires a face recognition system, such as Yunmai face recognition access control, which is controlled by dynamic face recognition technology.

Different face images are collected by the camera lens, such as static images, dynamic images, different positions, different expressions, etc., when the collected object is within the shooting range of the device, the acquisition device will automatically search for and take face images. Can be used for security screening.

To put it simply, it is the application of some convenience measures and real-name systems to reduce the gap between illiteracy and the application of scientific and technological products, and there is no need to type and enter passwords and other mental work capabilities.

In fact, it is mainly used to improve social efficiency at the low end, rather than confidentiality in the high-end field.

Kankan AI smart campus face recognition application.

1. Students arrive at the school gate and leave the school for attendance.

2. Access control management in the office area.

3. Energy-saving and power control in classrooms.

4. Dormitory attendance management.

5. Strangers in the canteen call the police.

With the rapid progress of face recognition technology, the prominence of market application demand and the popularity of capital, face recognition has been particularly hot in the past one or two years. Face recognition technology has also made a great breakthrough in the application scenarios, no longer limited to the simple application of attendance and access control industry, at present, with the further maturity of technology and the improvement of social recognition, it is widely used in finance, justice, military, public security, border inspection, aerospace, electric power, factories, medical and many enterprises and institutions and other fields.

Answer: First, the application of face recognition system.

2. Scope of application of the face recognition system.

Scope of application: Parks, factories, supermarkets, community squares, conference centers, stadiums, schools, hospitals, residential areas, commercial streets, large farmers' markets and other important parts of public activities and gathering places, hotels (guesthouses), catering, entertainment venues, office building lobby entrances and exits, elevators and other main passages and other indoor and outdoor surveillance video purposes.

The main applications are as follows:

Face recognition attendance, through face recognition verification of attendance, face recognition attendance eliminates the occurrence of punching and clocking in on behalf of attendance.

For example, when investigating and handling cases, public security departments often encounter some unknown people, such as lost elderly people, children, and suspects who refuse to confess their identities.

The details are as follows: face database face retrieval, face tagging, face classification, etc.

Public places, such as train stations, airports, etc.

Face verification driver's license, visa, ID card, passport, voting, etc.

Security anti-terrorism alarm, boarding, stadium spectator scanning, computer security, network security, etc.

Application scenario: ID card check to ensure authentic documents.

At present, it is mainly through scanning or copying ID card information and manually comparing ID cards**. Scanning or photocopying an ID card is only for the record, and cannot effectively verify the authenticity of the ID card. In order to ensure that the real ID card is used to handle the business, there must be some technical means to check the ID card provided by the clerk.

Application scenario: The face and ID card are matched and checked to ensure the integration of the person and the card.

In addition to using the real ID card to handle business, manual verification of photos is often due to the relatively early age of the ID card photo, and the person wearing sunglasses, makeup, hairstyle, etc. If there are too many inquiries, it will make the certificate holder feel bored and easy to cause some unnecessary friction. Therefore, on the basis of checking the ID card, the face image is automatically captured through the camera without contact, and automatically compared with the image information stored in the ID card, or compared with more real identity faces in the background, and the window business personnel are reminded of the comparison results in a variety of ways to ensure that the holder is the person who handles the business with the real ID card.

Application scenario: Facial evidence retention to enhance the ability to collect evidence after the event.

Due to the relative obsolescence of the ID card information, in addition to the camera capture the face at the time and the ID card stored in the photo ratio, the system continues to accumulate face capture data when handling business, in the process of face matching inspection, not only can be compared with the ** information stored in the ID card, but also can compare the historical face information, to ensure that when the ** in the ID card is relatively old, there is a face data closer to the current time, improve the accuracy of comparison. At the same time, the face data left by each business transaction can be used as important evidence for tracing when business abnormalities occur.

Application scenario: Support face brushing to handle business in the future.

With the continuous maturity of face recognition technology, for the public service department, personal service to customers is very important, and the system should support direct face scanning business in the future. That is, for some businesses, it is necessary to support that in the future, without the need for ID card information, the identity information can still be directly recognized through face, reducing the links of ID card inspection, copying and archiving, etc., so as to improve the convenience of customers handling business and improve the efficiency of handling business at the window.

Advantages of face recognition technology in smart cities.

Face recognition is a biometric technology that recognizes people based on their facial features. Each person's face is composed of the forehead, eyebrows, eyes, nose, mouth, cheeks, etc., and the approximate position relationship between them is also fixed. However, human faces are unique, and no two faces are exactly the same in this world, and people are often able to distinguish different people based on the subtle differences between different faces.

World Wide Recognition has the answer for you.