来源：新浪证券-红岸工作室 8月1日，森赫股份涨2.20%，成交额9514.39万元，换手率4.73%，总市值31.00亿元。 异动分析 3、公司持股49%的Turkmenistan Sicher在土库曼斯坦从事电梯制造及销售；公司积极响应国家"一带一 路"倡议，产品销往孟加拉国、科威特、墨西哥等国家和地区。 中俄贸易概念+新型城镇化+一带一路+物联网+人脸识别 1、公司海外客户主要集中于孟加拉国、俄罗斯（远东地区）、科威特、乌兹别克斯坦、墨西哥等国 家，其中孟加拉国、俄罗斯和科威特为公司最主要的国外销售地区。 2、2023年3月15日互动易回复：公司GRPS乘客电梯、GRE自动扶梯、GRM自动人行道系列产品结合 SICE物联网云服务平台，为新型城镇化建设提供产品及服务。 4、2021年9月15日互动易回复：公司通过电梯物联网平台，对电梯的运行信号、状态、故障数据进行监 测和采集，运用大数据、云计算技术，实现电梯远程监控、维保管理、使用管理、安全预警、应急处置 等功能。 5、据招股说明书：公司在新旧产业融合过程中，研发生物特征识别（语音识别、人脸识别、指纹识 别）、基于物联网实现远程呼梯、二维码识别等新技术应 ...

Core Viewpoint - The article discusses the challenges and implications of facial recognition technology in the AI era, particularly in relation to security vulnerabilities and the potential for identity theft due to advancements in AI-generated content [1][12]. Group 1: Facial Recognition Technology - Facial recognition is highlighted as a significant achievement in the AI era, but it faces challenges due to the inherent variability in human facial features over time [3][4]. - The technology must balance two opposing needs: increasing tolerance for variability to avoid missed identifications and tightening standards to prevent false identifications [3][9]. - The focus on improving recognition rates may lead to a compromise in security, as systems might prioritize performance metrics over accuracy [9][10]. Group 2: Security Concerns - There is a growing concern that facial recognition systems can be easily compromised, leading to unauthorized access and identity theft [12][14]. - The article suggests that internet platforms should implement stricter security measures and manual reviews when changing administrative permissions for popular accounts [12][13]. - AI companies are warned about the ongoing arms race between security measures and the capabilities of AI-generated content, which could exacerbate existing vulnerabilities [14].

Core Viewpoint - The case highlights the vulnerabilities in facial recognition systems due to advancements in AI technology, specifically the use of AI face-swapping software to commit fraud [1][2][4]. Group 1: Incident Overview - A defendant named Fu illegally obtained over 1.95 million pieces of personal information and used AI face-swapping software to access the payment accounts of 23 victims [2][4]. - Fu managed to change the payment passwords and bind phone numbers of 5 victims, and fraudulently used one victim's bank card to purchase two mobile phones totaling 15,996 RMB [2][4]. Group 2: Legal Consequences - The court sentenced Fu to 4 years and 6 months in prison for multiple crimes, including violating personal information laws and credit card fraud, and ordered him to pay 15,996 RMB in damages [6]. - The case prompted the prosecution to issue a legal risk warning regarding the vulnerabilities in the financial platform used in the fraud, which has since undergone rectification [6]. Group 3: Security Implications - Experts express concerns about the security of facial recognition systems, noting that no network is completely secure and that each update may introduce new vulnerabilities [7]. - There is a consensus that while vulnerabilities are inevitable, advancements in technology can help mitigate risks associated with facial recognition attacks [8]. Group 4: Recommendations for Improvement - It is suggested that organizations using facial recognition technology should implement stricter security measures and enhance their anti-fraud capabilities [11]. - Individuals are encouraged to be more vigilant about protecting their personal information to prevent unauthorized access [11].

Group 1 - The event focuses on the compliance and regulatory aspects of facial recognition technology and personal information protection [1][2] - The event is organized under the guidance of the Guangdong Provincial Internet Information Office and involves multiple associations and institutions [1] - Key experts from the China Electronic Technology Standardization Institute will provide detailed interpretations of new policies related to facial recognition and personal information protection [1][2] Group 2 - The event schedule includes a leadership speech, expert presentations on specific regulations, an interactive Q&A session, and association exchanges [2] - The presentations will cover the "Facial Recognition Technology Application Safety Management Measures" and the "Personal Information Protection Compliance Audit Management Measures" [2] - The event is set to take place on July 9, with limited seating available for interested participants [1]

Core Viewpoint - The article discusses the pervasive use of facial recognition technology in real estate sales offices in China, highlighting privacy concerns and the lack of compliance with new regulations aimed at protecting personal data [3][4]. Group 1: Surveillance in Real Estate Sales Offices - Real estate sales offices are equipped with numerous cameras, often without clear signage indicating their presence or purpose [5][9]. - Visitors often feel the need to disguise themselves to avoid having their facial data collected and recorded, which can affect their ability to choose different agents [6][12]. - The cameras are used to track visitors and determine if they are first-time clients, with facial data typically stored for 1 to 3 months [6][12]. Group 2: Compliance Issues - The new regulations require clear signage and consent for facial recognition data collection, which many sales offices fail to provide [8][14]. - There are reports of companies collecting facial data without proper consent, leading to administrative penalties [20][21]. - Experts argue that the current practices violate the principle of necessity, as the purpose of data collection is not clearly communicated to clients [14][21]. Group 3: Industry Practices and Implications - Real estate developers use facial recognition to differentiate between direct clients and those referred by agents, impacting commission structures [13][22]. - The technology is seen as a "secret weapon" to control commission costs and ensure that sales staff benefit from direct sales [13][22]. - There are alternative methods suggested for verifying client identity that do not rely on facial recognition, such as using access cards or QR codes [23].

Core Viewpoint - The facial recognition sector has shown a positive performance with a 2.67% increase, ranking sixth among concept sectors, indicating strong investor interest and potential growth in this area [1][2]. Group 1: Market Performance - As of May 26, the facial recognition concept saw 97 stocks rise, with notable performers including Zhilai Technology, Xingchen Technology, and Zhongke Information, each hitting a 20% limit up [1]. - The top gainers in the sector included Yunnei Power, Tongwei Shares, and *ST Guohua, with increases of 10.03%, 10.01%, and 4.95% respectively [1][2]. - Conversely, Tianmai Technology, Shengshi Technology, and Aobi Zhongguang experienced declines of 3.99%, 3.02%, and 2.17% respectively [1]. Group 2: Capital Inflow - The facial recognition sector attracted a net inflow of 624 million yuan from major funds, with 38 stocks receiving net inflows [2][3]. - Zhongke Information led the inflow with 265 million yuan, followed by Yunnei Power and Xingchen Technology with 214 million yuan and 205 million yuan respectively [2][3]. - The net inflow ratios for leading stocks included Yunnei Power at 66.24%, Tongwei Shares at 40.21%, and Zhihai Technology at 25.48% [3]. Group 3: Stock Performance Metrics - Zhongke Information recorded a daily increase of 19.99% with a turnover rate of 11.27% and a net inflow of 265 million yuan [3]. - Yunnei Power and Xingchen Technology also performed well, with increases of 10.03% and 20.00% respectively, alongside notable turnover rates [3]. - Other significant performers included Tongwei Shares with a 10.01% increase and a turnover rate of 7.38% [3].

Core Viewpoint - The article highlights the rising concern over the misuse of AI technology, particularly in the context of circumventing facial recognition systems used by ride-hailing platforms through the use of a "virtual camera" application and AI face-swapping technology [2][9]. Group 1: Technology and Methods - Criminals are using a "virtual camera" application to bypass facial recognition systems by replacing the local camera feed with a pre-recorded video that uses AI face-swapping technology [2][3]. - The method involves jailbreaking the phone and injecting a program that can manipulate the data flow from the physical camera, effectively deceiving the platform's verification process [7][8]. Group 2: Market and Services - Numerous accounts on social media and short video platforms are promoting services that claim to help users bypass facial recognition, with tutorials and contact information for further engagement [3][5]. - E-commerce platforms like Taobao and Xianyu are also hosting shops that offer "virtual camera tools" and related services, with some merchants claiming they can enable users to bypass facial recognition on any platform for a fee [5][6]. Group 3: Legal and Ethical Implications - The misuse of AI face-swapping technology has led to legal actions, with cases involving individuals who provided services to help banned drivers evade facial recognition, resulting in criminal charges and penalties [9]. - Legal experts warn that the abuse of AI face-swapping technology could lead to various civil disputes, including violations of personal rights and potential criminal charges related to computer system intrusions [9].

300万消费品牌媒体，快消行业记录者与观察者！聚焦快消与新消费，关注消费趋势与变化 作者：王晖 来源： 首席品牌观察 （ID： pinpaigcbao ） 还记得《哪吒2》的片尾彩蛋吗？ 以下文章来源于首席品牌观察 ，作者王晖 首席品牌观察 . 败退的无量仙翁带着鹿童、鹤童去了一个关押着申公豹的神秘山洞，由于他用的是人脸识别的方式进 洞，进去时鼻青脸肿，出去时由于脸伤恢复，人脸识别失败，只能被两个徒弟一顿胖揍，才可能出 去，不然要被关在洞里十年。 这一充满黑色幽默的彩蛋告诉我们，当人类过于依赖高科技，很可能被高科技反噬。 不得不说，饺子导演是有点预见能力在身上的。 这不，最近山姆就遇到了和无量仙翁一样的窘境，因为"人脸识别"，被起诉立案了。 01 山姆又摊上事了 起诉山姆的是广西大学法学的研究生丁先生。 根据丁先生透露，他在前往南宁一山姆超市购物时，由于自己无法使用朋友的山姆超市会员码，被工 作人员拒之门外。 他被工作人员告知，山姆会员码必须"专人专用"，在扫会员码时，机器会弹出注册会员时上传的人脸 照片，工作人员根据人脸照片辨认是否为会员本人。若非本人，可以拒绝使用会员码。 ▶ 图源：极目新闻 他先是电话咨 ...

Core Viewpoint - The article discusses the controversy surrounding Sam's Club's use of facial recognition technology for member verification, highlighting potential privacy concerns and legal implications [1][4][10]. Group 1: Legal Issues - A graduate student filed a lawsuit against Sam's Club for requiring facial recognition as the sole method of identity verification, claiming it infringes on consumer rights and privacy [3][5][10]. - The court in Nanning has accepted the case, indicating legal scrutiny over Sam's Club's practices [5]. Group 2: Consumer Experience - Many consumers express dissatisfaction with the mandatory facial recognition policy, which they feel limits their shopping experience and privacy [9][10]. - The policy has led to complaints about the inconvenience for families who share membership cards, as they are required to be physically present for verification [9][12]. Group 3: Membership Model - Sam's Club maintains a "member-only" policy to enhance the exclusivity of its shopping experience, which is seen as a competitive advantage [12]. - The membership fee structure, with over 5 million members, generates significant revenue, contributing to the company's financial performance [12][14]. Group 4: Brand Reputation - Recent negative incidents related to product quality have raised questions about the reliability of Sam's Club's high-quality service claims [14][15]. - The brand's reputation is at risk as it faces criticism for its privacy practices, which could undermine consumer trust [15][16].