According to media analysis, it is estimated that my country's face recognition market accounts for about 10% of the global market. From 2010 to 2016, the scale of my country's face recognition market increased year by year, with an average annual compound growth rate of 27%. In 2016, the market size of my country's face recognition industry was about 1.725 billion yuan, a year-on-year increase of 27.97%, and the growth rate increased by 4.64 percentage points over the previous year. The global biometrics market size is about 12.713 billion US dollars, of which the face recognition scale is about 2.653 billion US dollars, accounting for about 20%. The global face recognition market is expected to reach USD 6.37 billion by 2021, growing at a CAGR of 17.83% over the forecast period.
The face recognition-related data collected by the machine vision solution provider Longruizhike (www.loongv.com) recently collected face recognition industry applications
1) FR + finance:
(1) Real-name authentication:
Financial institutions traditionally use manual visual judgment, SMS verification, binding bank cards and other means for real-name authentication. These traditional methods have the problems of low accuracy, poor customer experience and high cost, which have caused huge troubles to the business development of financial enterprises. The real-name authentication method based on face recognition has the advantages of high accuracy (only two people look the same in 100 million people), good customer experience (fast authentication speed, less customer operations), and low cost (compared to traditional authentication methods) , has been adopted by many leading financial enterprises.
(2) The application of face recognition in remote bank account opening:
when opening an account remotely, financial institutions can conduct identity authentication and verification online through smart terminals, and using face recognition technology to open an account can greatly improve the security and timeliness of business processing (3) Face
-scanning withdrawals:
In this regard, the face replaces the bank card, and only the face + password is needed to complete the withdrawal. In the first two aspects, face recognition technology has been widely adopted by major domestic banks. In terms of face-scanning withdrawals, Agricultural Bank of China and China Merchants Bank are the first to launch face-scanning withdrawal functions in ATMs.
2) FR+ medical treatment:
(1) Key applications:
1. Combat medical crimes and ensure the safety of medical treatment.
Establish a targeted control database for medical-related criminals, and cooperate with local public security departments to carry out real-time control.
2. Manage job-related crimes and control improper competition.
Control the medical representatives who enter the hospital's diagnosis and treatment area, and assist in solving problems such as irregular operation and disordered competition in the field of drug circulation.
3. Prevent occupational medical troubles and protect personal safety.
Combat the frequent occurrence of professional medical troubles, improve the response speed of incidents, and change from passive response to active prevention.
4. Standardize the treatment process and harmonious doctor-patient relationship.
Focus on preventing scalpers, medical care and other special groups that interfere with the normal order of medical treatment.
5. Strengthen supervision and maintain medical insurance funds.
Realize the comparison between the patient and the ID card in the medical insurance information database, and eliminate the phenomenon of fraudulent use of the medical insurance card.
6. Patients with serious mental disorders who are prone to accidents and accidents are managed and controlled.
Combined with the "Xueliang Project", it is ensured that the inflow and outflow places of patients with severe mental disorders are found and controlled in place. (2) The breakthrough in the application of face recognition in the medical industry is based on three points: 1. Obtaining the information of the target object: Because of the different administrative systems, it is difficult for the medical industry to obtain the information of the target object. Coordination. The target object information includes but is not limited to: face photos, portrait photos, basic personnel information, personnel dynamics, and the like. 2. The algorithm of face recognition has been further improved: the accuracy of the current face recognition algorithm has reached a very high level, and the false positives and false negatives have been controlled within the acceptable range; Get more valuable information from the videos/pictures, and realize different applications from more dimensions. 3. The improvement of managers' thinking and level: artificial intelligence and face recognition are revolutionary and disruptive technologies, which can bring huge improvement to the medical industry. How to apply face recognition to all aspects of the medical industry requires managers and technology providers to expand their thinking and work together. (3) Prospects of face recognition in the medical industry: 1. Docking with public security video surveillance and medical-police linkage platforms: The system meets the requirements of existing public security standards, and can be seamlessly connected with public security organs’ video surveillance, medical-police linkage and other platforms in the future. Push the alarm information and related videos and pictures to the police station in the jurisdiction to realize linkage. 2. Face identity verification: Enter the photo of the target person to know the identity of the person and whether they belong to the key control personnel, whether they have been to the hospital, and the time and frequency of their appearance. It can be used to screen suspicious persons and find their activity patterns. 3. Personnel track playback: Enter the photo of the target person to check whether the person has been to the hospital and where they have been. This function can restore the action trajectory of a specific person, which is used for the investigation and judgment of the suspect's behavior and forensics afterwards. 4. Docking access control system:
与门禁系统对接，预留刷脸开门、人脸考勤等高级功能，方便办公区、手术室、药品库、住院部等区域的出入管理。
5、对接刷卡系统：
与二代证、医保卡等刷卡系统对接，将采集的人脸照片与证件上存储的照片进行比对，验证刷卡人的真实身份。
3）FR+新零售：
（1）应用人脸识别的优势
1、为重点客户画像：
帮助卖家获得顾客和潜在顾客更精准的信息，构建用户画像。可以安装在超市、商场、门店等入口，统计每天进入门店的人数、大致年龄和性别等;另一种可以安装在货架上，分析客户的关注点和消费习惯等。通过大数据分析挖掘回头客，提升客户提袋率和VIP转化率；
2、为零售商降本增益：
以智能化系统来代替人工，以人脸识别系统连接支付端来代替收银员，能跟快实现零售店的导流和商品人流分析等。
3、减少突发事件的产生：
门店遇到商品失窃的突发事件，通过对所获数据的分析，也可以将不良客户拉入“黑名单”或是降低其信用水平。
4、完美连接线上线下：
识别系统获得的用户偏好还能反哺线上，将所得数据通过线上反馈给厂商，助力于厂商更全面地了解消费者需求，进而精准地研发产品，设计营销策略。这些都是完美实现新零售“打通线上线下”内在要求的极佳方式。
（2）人脸识别的安全隐患：
1、人脸特征容易被复制：
众所周知，破解密码的最常用手段是复制，通过窃取数字密码以及套取指纹来解密的案例己经不胜枚举。与记录在大脑中或其他介质上面的数字密码相比，暴露在外面的人脸更容易被复制。通过拍照完全可以获得一个人的脸部特征并进行复制，利用整容技术或者用照片识别等欺诈的方法可以骗过人脸支付系统。
2、个人信息泄露问题。
在科技发达的今天，人们似乎很轻易就可以通过无孔不入的渠道查到消费者的各种信息。而对于刷脸支付来讲，像人脸特征这种人体密码一旦交给别人保管，个人信息的安全系数将如何确保？获取用户的面部特征是否会涉及到个人隐私？基于面部扫描系统的支付在普遍应用之后会不会带来基于位置服务造成的个人行踪泄露？
4）FR+安防：
（1）智慧城市的基础
1、视频分析：
基于视频中的人脸照片进行远距离、快速、无接触式的重点人员布控预警。让应用于车站、机场、地铁等重点场所和大型商场超市等人群密集的公共场所视频监控系统能够对视频图像进行采集、自动分析、抓取人脸实时比对，主动在监控场景中识别重点关注人员，实现重点人员的布控和识别。
2、重要场所的布控：
对机场、车站、港口、地铁重点场所和大型商超等人群密集公共场所进行布控，以达到对一些重点人员的排查，抓捕逃犯等目的。
3、静态库或身份库的检索：
对常住人口、暂住人口的人脸图片进行预先建库，通过输入各种渠道采集的人脸图片，能够进行比对和按照相似度排序，进而获悉输入人员的身份或者其他关联信息，此类应用存在两种扩展形式，单一身份库自动批量比对并发现疑似的一个人员具有两个或以上身份信息的静态库查重，两个身份库之间自动交叉比对发现交集数据的静态库碰撞。
4、动态库或抓拍库的检索：
对持续采集的各摄像头点位的抓拍图片建库，通过输入一张指定人员的人脸图片，获得其在指定时间范围和指定摄像头点位出现的所有抓拍记录，方便快速浏览，当摄像头点位关联GIS系统，则可以进一步的按照时间顺序排列检索得到的抓拍记录，并绘制到GIS上，得到人员运动的轨迹。
（2）反恐行动的助力
现在新疆、西藏等城市都将人脸识别作为基础设施建设领域的投资重点，由于人员复杂、居住人口相对混乱等因素，这些城市成为了恐怖袭击等违法犯罪行为的高发场所。而人脸识别技术采用人脸检测算法、人脸跟踪算法、人脸质量评分算法以及人脸识别算法。实现城市居住人员人脸的抓拍采集、建模存储，实时黑名单比对报警和人脸后检索等功能。能及时在危险发生之前制止。
（3）儿童安全的保镖
近年来儿童拐卖活动越来越猖獗，为了更好的保护儿童安全，有些幼儿园、小学在门口已经安装上了面部识别系统。系统采用人脸识别加IC/ID卡(非接触式智能卡) 双重认证：每一位幼儿在入学注册时进行相关登记：资料、面像、IC/ID卡号、接送者、接送者面像。
每次入园时刷卡进行报道，放学时刷卡并进行接送家长人脸认证，如果认证失败拍照后即报警通知管理员，如果认证成功即拍照放行。不论识别成功与否，系统都会记录下被识别者图像。每一次接送都有详细的时间、接送人员的照片可供查询。另外系统提供短信提示的扩展功能，家长可在手机上看到人脸识别认证时所拍的照片，从而监控到接送这个过程，从其中一个重要源头杜绝了儿童被拐的可能性。
（4）智慧酒店的管理
以前开房登记流程是：接待人员问询——身份证扫描确认——支付押金——选房层发房卡——打印纸质票据，这些流程非常繁杂，尤其是身份认证耗时最长，若遇到团队入住情况则更为复杂，身份证识别设备可能会因高频使用出现故障，而急于进房间休息的顾客却只能在前台等待手续完成，客户体验非常糟糕。
人脸识别技术就能很好的解决这一难题，帮助酒店实现系统化业务管理和一站式共享解决方案。智慧酒店的安防系统利用人脸识别技术，当顾客走到前台时系统已经自动根据顾客被摄像头捕捉到的影像调取顾客身份核对。整个验证核对过程简单、快速且实现了自动化，更大幅降低了人工识别造成的误差。而且，针对酒店VIP客人，系统可实时对比酒店大堂的摄像头影像和登记在酒店基础系统中的VIP面部数据，当VIP客人到达时，酒店可第一时间提供个性化周到服务，提高客户的满意度。
5）FR+公安
（1）寻人寻亲：
对老百姓或其他业务部门提供的照片，直接送入系统进行比对、检索、筛选，最后人工确认。
（2）派出所挡获违法人员：
对派出所挡获的人员，登记笔录，对于其中一些少数民族、聋哑人或保持沉默者等无法查证身份的人员，可拍摄照片送入各种照片库中比对，排查涉及大案要案人员，以免漏网；或查证其前科，累计处理。
（3）查证无名尸源：
需要查证无名尸源时，先拍摄正面照片，送入计算机，如果照片闭眼、破损或变形，可用人像合成系统或人工绘制一幅标准照，送入比对系统比对查证。
（4）目击者描述排查：
获得现场目击者对嫌疑人的形象描述后，可用人像合成系统进行排查。
（5）视频监控照片：
The general monitoring system is aimed at the scene, and the obtained image of the suspect involved in the case has problems of poor quality such as blur, deflection, reverse side light, etc. At this time, it is necessary to use a portrait synthesis system or manually draw a standard photo according to the image and send it to the photo for comparison. System comparison verification.
(6) Gatherings in public places:
In public places such as the government and stadiums, there are often people causing trouble. At this time, it is inconvenient for the public security and police to take people directly to deal with them. You can use a telephoto camera to take close-up shots. If the effect is not good enough, you can use the portrait synthesis system to correct it. , sent to the comparison system for comparison and verification.
(7) Identification of the first-generation/second-generation resident ID card:
According to the ID photo information of the criminal, compare it with the information in the system photo library, and extract the personnel information similar to the photo on the ID card, which can make full use of the existing information. The second-generation ID card photo resources provide efficient and beneficial help for the work of the public security department.
(8) Other applications:
comparison query of permanent population, comparison query of temporary population, comparison query of key population, comparison query of CCIC fugitives, etc. 6) FR+ business scenarios: (1) Visitor registration: When a visitor visits the company, the visitor information is registered on the tablet computer, the face is automatically captured by the camera, and the visitor sticker is printed out through the system; (2) Recognition and welcome: company employees, When VIPs enter the entrance of the company, the camera can identify the visitors and realize the management of access control functions; (3) Face recognition attendance: perform face recognition attendance through the front desk tablet at the entrance, or through the mobile phone; ( 4) Smart life: Many parks and buildings require face access control systems, and people can enter and exit quickly, which is convenient for managing the entry and exit records of residents and visitors; Face recognition can strengthen the identity authentication of candidates in the examination admission process, and effectively realize intelligent video invigilation, cheating prevention and control, etc.; (6) Smart shopping malls: Use face recognition technology to track and analyze the flow attributes and crowd distribution in the shopping malls.
The face recognition-related data collected by the machine vision solution provider Longruizhike (www.loongv.com) recently collected face recognition industry applications
1) FR + finance:
Financial institutions traditionally use manual visual judgment, SMS verification, binding bank cards and other means for real-name authentication. These traditional methods have the problems of low accuracy, poor customer experience and high cost, which have caused huge troubles to the business development of financial enterprises. The real-name authentication method based on face recognition has the advantages of high accuracy (only two people look the same in 100 million people), good customer experience (fast authentication speed, less customer operations), and low cost (compared to traditional authentication methods) , has been adopted by many leading financial enterprises.
(2) The application of face recognition in remote bank account opening:
when opening an account remotely, financial institutions can conduct identity authentication and verification online through smart terminals, and using face recognition technology to open an account can greatly improve the security and timeliness of business processing (3) Face
-scanning withdrawals:
In this regard, the face replaces the bank card, and only the face + password is needed to complete the withdrawal. In the first two aspects, face recognition technology has been widely adopted by major domestic banks. In terms of face-scanning withdrawals, Agricultural Bank of China and China Merchants Bank are the first to launch face-scanning withdrawal functions in ATMs.
2) FR+ medical treatment:
(1) Key applications:
1. Combat medical crimes and ensure the safety of medical treatment.
Establish a targeted control database for medical-related criminals, and cooperate with local public security departments to carry out real-time control.
2. Manage job-related crimes and control improper competition.
Control the medical representatives who enter the hospital's diagnosis and treatment area, and assist in solving problems such as irregular operation and disordered competition in the field of drug circulation.
3. Prevent occupational medical troubles and protect personal safety.
Combat the frequent occurrence of professional medical troubles, improve the response speed of incidents, and change from passive response to active prevention.
4. Standardize the treatment process and harmonious doctor-patient relationship.
Focus on preventing scalpers, medical care and other special groups that interfere with the normal order of medical treatment.
5. Strengthen supervision and maintain medical insurance funds.
Realize the comparison between the patient and the ID card in the medical insurance information database, and eliminate the phenomenon of fraudulent use of the medical insurance card.
6. Patients with serious mental disorders who are prone to accidents and accidents are managed and controlled.
Combined with the "Xueliang Project", it is ensured that the inflow and outflow places of patients with severe mental disorders are found and controlled in place. (2) The breakthrough in the application of face recognition in the medical industry is based on three points: 1. Obtaining the information of the target object: Because of the different administrative systems, it is difficult for the medical industry to obtain the information of the target object. Coordination. The target object information includes but is not limited to: face photos, portrait photos, basic personnel information, personnel dynamics, and the like. 2. The algorithm of face recognition has been further improved: the accuracy of the current face recognition algorithm has reached a very high level, and the false positives and false negatives have been controlled within the acceptable range; Get more valuable information from the videos/pictures, and realize different applications from more dimensions. 3. The improvement of managers' thinking and level: artificial intelligence and face recognition are revolutionary and disruptive technologies, which can bring huge improvement to the medical industry. How to apply face recognition to all aspects of the medical industry requires managers and technology providers to expand their thinking and work together. (3) Prospects of face recognition in the medical industry: 1. Docking with public security video surveillance and medical-police linkage platforms: The system meets the requirements of existing public security standards, and can be seamlessly connected with public security organs’ video surveillance, medical-police linkage and other platforms in the future. Push the alarm information and related videos and pictures to the police station in the jurisdiction to realize linkage. 2. Face identity verification: Enter the photo of the target person to know the identity of the person and whether they belong to the key control personnel, whether they have been to the hospital, and the time and frequency of their appearance. It can be used to screen suspicious persons and find their activity patterns. 3. Personnel track playback: Enter the photo of the target person to check whether the person has been to the hospital and where they have been. This function can restore the action trajectory of a specific person, which is used for the investigation and judgment of the suspect's behavior and forensics afterwards. 4. Docking access control system:
与门禁系统对接，预留刷脸开门、人脸考勤等高级功能，方便办公区、手术室、药品库、住院部等区域的出入管理。
5、对接刷卡系统：
与二代证、医保卡等刷卡系统对接，将采集的人脸照片与证件上存储的照片进行比对，验证刷卡人的真实身份。
3）FR+新零售：
（1）应用人脸识别的优势
1、为重点客户画像：
帮助卖家获得顾客和潜在顾客更精准的信息，构建用户画像。可以安装在超市、商场、门店等入口，统计每天进入门店的人数、大致年龄和性别等;另一种可以安装在货架上，分析客户的关注点和消费习惯等。通过大数据分析挖掘回头客，提升客户提袋率和VIP转化率；
2、为零售商降本增益：
以智能化系统来代替人工，以人脸识别系统连接支付端来代替收银员，能跟快实现零售店的导流和商品人流分析等。
3、减少突发事件的产生：
门店遇到商品失窃的突发事件，通过对所获数据的分析，也可以将不良客户拉入“黑名单”或是降低其信用水平。
4、完美连接线上线下：
识别系统获得的用户偏好还能反哺线上，将所得数据通过线上反馈给厂商，助力于厂商更全面地了解消费者需求，进而精准地研发产品，设计营销策略。这些都是完美实现新零售“打通线上线下”内在要求的极佳方式。
（2）人脸识别的安全隐患：
1、人脸特征容易被复制：
众所周知，破解密码的最常用手段是复制，通过窃取数字密码以及套取指纹来解密的案例己经不胜枚举。与记录在大脑中或其他介质上面的数字密码相比，暴露在外面的人脸更容易被复制。通过拍照完全可以获得一个人的脸部特征并进行复制，利用整容技术或者用照片识别等欺诈的方法可以骗过人脸支付系统。
2、个人信息泄露问题。
在科技发达的今天，人们似乎很轻易就可以通过无孔不入的渠道查到消费者的各种信息。而对于刷脸支付来讲，像人脸特征这种人体密码一旦交给别人保管，个人信息的安全系数将如何确保？获取用户的面部特征是否会涉及到个人隐私？基于面部扫描系统的支付在普遍应用之后会不会带来基于位置服务造成的个人行踪泄露？
4）FR+安防：
（1）智慧城市的基础
1、视频分析：
基于视频中的人脸照片进行远距离、快速、无接触式的重点人员布控预警。让应用于车站、机场、地铁等重点场所和大型商场超市等人群密集的公共场所视频监控系统能够对视频图像进行采集、自动分析、抓取人脸实时比对，主动在监控场景中识别重点关注人员，实现重点人员的布控和识别。
2、重要场所的布控：
对机场、车站、港口、地铁重点场所和大型商超等人群密集公共场所进行布控，以达到对一些重点人员的排查，抓捕逃犯等目的。
3、静态库或身份库的检索：
对常住人口、暂住人口的人脸图片进行预先建库，通过输入各种渠道采集的人脸图片，能够进行比对和按照相似度排序，进而获悉输入人员的身份或者其他关联信息，此类应用存在两种扩展形式，单一身份库自动批量比对并发现疑似的一个人员具有两个或以上身份信息的静态库查重，两个身份库之间自动交叉比对发现交集数据的静态库碰撞。
4、动态库或抓拍库的检索：
对持续采集的各摄像头点位的抓拍图片建库，通过输入一张指定人员的人脸图片，获得其在指定时间范围和指定摄像头点位出现的所有抓拍记录，方便快速浏览，当摄像头点位关联GIS系统，则可以进一步的按照时间顺序排列检索得到的抓拍记录，并绘制到GIS上，得到人员运动的轨迹。
（2）反恐行动的助力
现在新疆、西藏等城市都将人脸识别作为基础设施建设领域的投资重点，由于人员复杂、居住人口相对混乱等因素，这些城市成为了恐怖袭击等违法犯罪行为的高发场所。而人脸识别技术采用人脸检测算法、人脸跟踪算法、人脸质量评分算法以及人脸识别算法。实现城市居住人员人脸的抓拍采集、建模存储，实时黑名单比对报警和人脸后检索等功能。能及时在危险发生之前制止。
（3）儿童安全的保镖
近年来儿童拐卖活动越来越猖獗，为了更好的保护儿童安全，有些幼儿园、小学在门口已经安装上了面部识别系统。系统采用人脸识别加IC/ID卡(非接触式智能卡) 双重认证：每一位幼儿在入学注册时进行相关登记：资料、面像、IC/ID卡号、接送者、接送者面像。
每次入园时刷卡进行报道，放学时刷卡并进行接送家长人脸认证，如果认证失败拍照后即报警通知管理员，如果认证成功即拍照放行。不论识别成功与否，系统都会记录下被识别者图像。每一次接送都有详细的时间、接送人员的照片可供查询。另外系统提供短信提示的扩展功能，家长可在手机上看到人脸识别认证时所拍的照片，从而监控到接送这个过程，从其中一个重要源头杜绝了儿童被拐的可能性。
（4）智慧酒店的管理
以前开房登记流程是：接待人员问询——身份证扫描确认——支付押金——选房层发房卡——打印纸质票据，这些流程非常繁杂，尤其是身份认证耗时最长，若遇到团队入住情况则更为复杂，身份证识别设备可能会因高频使用出现故障，而急于进房间休息的顾客却只能在前台等待手续完成，客户体验非常糟糕。
人脸识别技术就能很好的解决这一难题，帮助酒店实现系统化业务管理和一站式共享解决方案。智慧酒店的安防系统利用人脸识别技术，当顾客走到前台时系统已经自动根据顾客被摄像头捕捉到的影像调取顾客身份核对。整个验证核对过程简单、快速且实现了自动化，更大幅降低了人工识别造成的误差。而且，针对酒店VIP客人，系统可实时对比酒店大堂的摄像头影像和登记在酒店基础系统中的VIP面部数据，当VIP客人到达时，酒店可第一时间提供个性化周到服务，提高客户的满意度。
5）FR+公安
（1）寻人寻亲：
对老百姓或其他业务部门提供的照片，直接送入系统进行比对、检索、筛选，最后人工确认。
（2）派出所挡获违法人员：
对派出所挡获的人员，登记笔录，对于其中一些少数民族、聋哑人或保持沉默者等无法查证身份的人员，可拍摄照片送入各种照片库中比对，排查涉及大案要案人员，以免漏网；或查证其前科，累计处理。
（3）查证无名尸源：
需要查证无名尸源时，先拍摄正面照片，送入计算机，如果照片闭眼、破损或变形，可用人像合成系统或人工绘制一幅标准照，送入比对系统比对查证。
（4）目击者描述排查：
获得现场目击者对嫌疑人的形象描述后，可用人像合成系统进行排查。
（5）视频监控照片：
The general monitoring system is aimed at the scene, and the obtained image of the suspect involved in the case has problems of poor quality such as blur, deflection, reverse side light, etc. At this time, it is necessary to use a portrait synthesis system or manually draw a standard photo according to the image and send it to the photo for comparison. System comparison verification.
(6) Gatherings in public places:
In public places such as the government and stadiums, there are often people causing trouble. At this time, it is inconvenient for the public security and police to take people directly to deal with them. You can use a telephoto camera to take close-up shots. If the effect is not good enough, you can use the portrait synthesis system to correct it. , sent to the comparison system for comparison and verification.
(7) Identification of the first-generation/second-generation resident ID card:
According to the ID photo information of the criminal, compare it with the information in the system photo library, and extract the personnel information similar to the photo on the ID card, which can make full use of the existing information. The second-generation ID card photo resources provide efficient and beneficial help for the work of the public security department.
(8) Other applications:
comparison query of permanent population, comparison query of temporary population, comparison query of key population, comparison query of CCIC fugitives, etc. 6) FR+ business scenarios: (1) Visitor registration: When a visitor visits the company, the visitor information is registered on the tablet computer, the face is automatically captured by the camera, and the visitor sticker is printed out through the system; (2) Recognition and welcome: company employees, When VIPs enter the entrance of the company, the camera can identify the visitors and realize the management of access control functions; (3) Face recognition attendance: perform face recognition attendance through the front desk tablet at the entrance, or through the mobile phone; ( 4) Smart life: Many parks and buildings require face access control systems, and people can enter and exit quickly, which is convenient for managing the entry and exit records of residents and visitors; Face recognition can strengthen the identity authentication of candidates in the examination admission process, and effectively realize intelligent video invigilation, cheating prevention and control, etc.; (6) Smart shopping malls: Use face recognition technology to track and analyze the flow attributes and crowd distribution in the shopping malls.