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  4. CyberLink's AI facial recognition engine FaceMe has obtained the international standard certification "ISO 27701" for privacy information management systems, strengthening its commitment to personal data protection.
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  • Apr 23, 2025
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Apr 23, 2025

CyberLink's AI facial recognition engine FaceMe has obtained the international standard certification "ISO 27701" for privacy information management systems, strengthening its commitment to personal data protection.

サイバーリンク サイバーリンク
■Background of Obtaining ISO 27701 Certification CyberLink's AI facial recognition engine, FaceMe, has been continuously strengthening its security management system, in addition to complying with GDPR (General Data Protection Regulation), and aims to obtain the international standard for information security management systems, "ISO/IEC 27001," by 2024. In these efforts, we have aimed to demonstrate a strong commitment to privacy protection and further enhance the reliability of our facial recognition engine by pursuing the acquisition of "ISO/IEC 27701," which establishes requirements for the management and protection of personally identifiable information (PII). ■Proving Commitment to Personal Data Protection with ISO 27701 Certification While ISO 27001 focuses on information security, ISO 27701 emphasizes the protection of users' personal information and compliance with privacy-related laws in various countries. By newly obtaining ISO 27701 certification, it has been recognized by a third-party organization that our company maintains high standards in both privacy protection and information security.
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SDK_img.jpg

AI facial recognition engine 'FaceMe SDK' achieves world-class authentication accuracy.

This is an AI facial recognition engine that can be equipped with world-class facial recognition capabilities for various software, hardware, and services.

FaceMe SDK is an AI facial recognition engine that has been adopted in various products and services. It has received very high evaluations from third-party organizations such as NIST and offers a variety of features including anti-spoofing capabilities and quality checks. Reasons to choose FaceMe: - High authentication accuracy and fast authentication capabilities - Flexible development across multiple platforms: Windows / Linux / Android / iOS / Jetson - Capable of authentication even when wearing masks, hats, helmets, or goggles - Wide authentication angles, allowing for authentication without directly facing the camera Main use cases for FaceMe: - Non-contact and walk-through facial recognition for attendance management - Identity verification in manufacturing processes at factories - Access control for enhanced security in offices using facial recognition for entry and exit management (door access control) - Single sign-on login solution using facial recognition integrated with Active Directory - Promotion of retail marketing through age and gender detection on signage and POS systems *For more details, please refer to the PDF materials or feel free to contact us.

  • Other embedded systems (software and hardware)
  • Personal authentication

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Security_img.jpg

AI Facial Recognition Security System FaceMe Security

FaceMe Security is an AI facial recognition security solution developed for enhancing security and managing entry and exit.

FaceMe Security is a smart security system that has a proven track record in office buildings, commercial facilities, and factories. It employs a facial recognition engine that has received very high evaluations from third-party organizations such as NIST, and it is capable of integration with external services and door access control. **Reasons to Choose FaceMe Security** - High authentication accuracy and fast authentication capability - Able to authenticate even when wearing a mask, with a wide authentication angle, and without needing to look directly at the camera - Easy external integration through API connectivity - Real-time monitoring and event notifications are possible - A rich set of add-on features allows for multifaceted security measures **Main Implementation Scenarios for FaceMe Security** - Security management of office buildings through integration with video recording systems (VMS) - Blocklist detection in commercial facilities - Attendance and access management through non-contact and walkthrough facial recognition - Real-time notifications to responsible personnel upon visitor detection - Visitor management and detection of unregistered individuals in factories and similar settings *For more details, please refer to the PDF document or feel free to contact us.*

  • Other security and surveillance systems
  • Entrance and exit control system

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Platform_img.jpg

Face Recognition Web API Server FaceMe Platform

It is an AI facial recognition server that can incorporate world-class facial recognition into various software and services using a Web API.

The FaceMe Platform allows the AI facial recognition engine FaceMe to be deployed across various platforms via a Web API. This enables short-term development and evaluation, allowing for efficient development that is not constrained by programming languages. Reasons to choose the FaceMe Platform: - Provides a more flexible and user-friendly development environment through a Web/HTTP UI - High authentication accuracy and fast recognition capabilities - Can authenticate even when wearing masks, hats, helmets, or goggles - Wide authentication angles, allowing for recognition even when not directly facing the camera - Easily builds large-scale systems with database sharing between multiple endpoints - Equipped with advanced server management features such as load balancing and failover recovery Main use cases for the FaceMe Platform: - Login for web and mobile applications, and identity verification such as eKYC - Facial recognition server for a large user database exceeding one million - Marketing platform for counting visitors and obtaining attributes in large commercial facilities *For more details, please refer to the PDF document or feel free to contact us.

  • Other security and surveillance systems

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Related catalog(2)

Easily realize the construction of an AI facial recognition system - FaceMe SDK

Easily realize the construction of an AI facial recognition system - FaceMe SDK

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No development required package-type facial recognition solution "FaceMe Security"

No development required package-type facial recognition solution "FaceMe Security"

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Aluminum prototype: Lost wax casting sand mold layered 3D printer prototype.

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● The production time for casting prototypes can be shortened! Since model production is not required, the time needed to create prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! With one molding process, different products with similar shapes or varying dimensions can be molded at the same time. This allows for the verification of multiple types in a short period.

Jan 14, 2026

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[Cast Iron Crack] We will repair cracks in metal products without applying heat.

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The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact to the base material. Repairs can be carried out even in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If a detailed technical explanation is needed, please contact us.

Jan 14, 2026

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PFAS Regulation Countermeasures! ■■ Leak Test Equipment for Small Electronic Components|MSA-0101 series ■■ Does not use fluorinated inert fluids. PFAS-free. Offers accuracy equal to or better than liquid immersion testing.

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● This is a leak testing device for small electronic components that does not use fluorinated inert liquids (PFAS-free). ● There is no longer a need for unstable visual confirmation through liquid immersion testing. It adopts a quantitative testing method that allows for stable pressure leak testing. ● It is a tabletop leak testing device specifically for gross leaks, with accuracy equal to or greater than that of liquid immersion testing. ● The detectable range is approximately 1×10⁻² Pa·m³/s to 1×10⁻⁶ Pa·m³/s (varies depending on the target product). ● It is suitable for sealed structures ranging from a few millimeters to a maximum of 80 × 70 mm. Please feel free to contact us for more information!

Jan 13, 2026

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"Welding repair crack repair" We will repair metal cracks without applying heat.

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The "Mechanical Stitching Method" by Nichinichisui Road Machinery Co., Ltd. is a new technique that allows for the repair of metal cracks without the application of heat. By using special bolts and reinforcement plates, cracks are physically removed, and repairs are made without causing any thermal impact to the base material. Repairs can be carried out in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. ◎ For more details, please contact us. ◎ If you require a detailed technical explanation, please contact us.

Jan 13, 2026

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Developed an innovative traceability system that records everything from waste to recycled resources.

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We developed a system that expands the functions of the electronic manifest ASP "KENET" to record the traceability from waste to the creation of recycled resources using blockchain technology. In May 2025, as a pre-service, we implemented registration functions from waste registration to the input of the recycling process and the completion of recycled resources. In January 2026, we newly developed functions for inventory management and shipping of recycled materials. The system also includes a CFP registration function for recycled resources, allowing for data input on the decarbonization effects of resource circulation. We aim to utilize the waste management functions cultivated over 18 years with KENET to advance into the field of resource circulation and work towards the effective use of waste for a circular society.

Jan 13, 2026

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